Masoud Rashidinejad | Shahid Bahonar University, Kerman, Iran. (original) (raw)

Papers by Masoud Rashidinejad

Research paper thumbnail of A New Risk-based Decentralized Model for Peer-to-Peer Energy Trading Among Smart Homes

DOAJ (DOAJ: Directory of Open Access Journals), Oct 1, 2022

Research paper thumbnail of Eelctricity Price Forecasting Using WaveNet

2006 Large Engineering Systems Conference on Power Engineering, 2006

Abstract Under competitive electricity markets, various long-term and short-term contracts based ... more Abstract Under competitive electricity markets, various long-term and short-term contracts based on spot price are implemented by independent market operator (IMO) An accurate forecasting technique for spot price facilitates the market participants to develop bidding strategies in ...

Research paper thumbnail of Performance evaluation of an ANFIS based power system stabilizer applied in multi-machine power systems

… on Circuits and …, 2005

Abstract: - Power system stabilizers (PSSs) are utilized in order to make power systems stable af... more Abstract: - Power system stabilizers (PSSs) are utilized in order to make power systems stable after a large or small disturbance. Therefore PSSs must be capable of providing appropriate stabilization signal over a broad range of operational conditions and disturbances. Due to ...

Research paper thumbnail of Operating reserve provision in deregulated power markets

2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.02CH37309)

This paper presents a complementary approach to evaluate the operating reserve requirements. A co... more This paper presents a complementary approach to evaluate the operating reserve requirements. A combined deterministic and stochastic criterion is investigated as an extent of unit responsibility deterministic method for assessing operating reserve. Economical considerations associated with reliability concerns are applied for developing a cost benefit analysis methodology to derive the capacity reservation prices. Numerical results are reported to show the

Research paper thumbnail of A stochastic multi‐objective model for energy efficiency and renewable resource planning in energy communities: A sustainably cost‐effective trade‐off

IET Renewable Power Generation

The integration of energy efficiency programs and renewable resources in energy communities (EC) ... more The integration of energy efficiency programs and renewable resources in energy communities (EC) incorporating smart microgrids might be the future development of sustainable cities. Cooperation among EC with high penetration of renewable energy resources will support energy procurement. Mutual energy efficiency programs in EC associated with deploying renewable resources can guarantee sustainable development significantly. This paper proposes a new sustainability index (SI) influenced by the loss of load reduction while increasing the penetration of renewable energies. A multi‐objective optimization method is used to determine the optimal size and location of renewable resources incorporating energy efficiency programs. The objective functions, that is, the total cost and SI, are based upon social, economic, environmental, and technical (SEET) considerations. Since the outputs of renewable energies are uncertain, it may increase the loss of load probability. Therefore, this paper i...

Research paper thumbnail of A new model for reliability-centered maintenance prioritisation of distribution feeders

Energy, 2019

Maintenance of distribution systems has become more important due to the need to increase energy ... more Maintenance of distribution systems has become more important due to the need to increase energy availability, quality and safety, and also reduce operation cost. Accordingly, the maintenance strategy in distribution systems is one of the most important decision-making activities. One of the most important evaluations for deciding the adequate performance of power distribution system is the identification of the critical components. On the other hand, the budget for maintenance of components is limited, so the maintenance should only be performed on critical components. Identifying the critical components is used to achieve the objective of minimising the cost for maintenance actions. This paper presents a new weighted importance (WI) reliability index model and proposes an appropriate method in order to prioritise the elements of distribution system for reliability-centered maintenance (RCM) at two different levels. At the first level, the feeders of a sample distribution substation are prioritised for the RCM actions. The second level is more detailed than the first level. At the second level, the components of a sample feeder are prioritised for the RCM actions. The reliability of system can be increased to as much as required level while minimal maintenance to be done by the maintenance prioritisation of the system components and performing the maintenance actions on the critical components. Appropriate maintenance decision-making for the critical components of distribution system can lead to the improvement in the reliability of distribution system.

Research paper thumbnail of Perturbation method based evaluation of power system voltage security

2006 IEEE GCC Conference (GCC), 2006

Security in stressed power systems is seriously affected by voltage collapse phenomena. This pape... more Security in stressed power systems is seriously affected by voltage collapse phenomena. This paper proposes a new algorithm for determining the voltage security margin. The algorithm is based on the perturbation method and has a very high computational efficiency. Therefore it can be used for on-line and realtime voltage evaluation. The proposed approach has been validated using IEEE14, IEEE30 and IEEE57 Bus systems .

Research paper thumbnail of Heat and Electricity Supply Chains Expansion Planning Under the Umbrella of Energy Hub: A Case Study of Iran

Scientia Iranica, 2020

Increases in tightening the correlation of gas and electricity systems (G&ES), affected by divers... more Increases in tightening the correlation of gas and electricity systems (G&ES), affected by diverse factors, ranging from anthropogenic climate change to the advent of new conversion/generation technologies, have remarkably brought the co-expansion of G&ES using a new concept, the socalled Energy Hub (EH), as well as the potential of storage systems into focus. To assess the effectiveness of EH approach and the role of storages in the coordinated plans of G&ES, this paper proposes a comprehensive EH-based planning model for co-expansion of G&ES supply chains with respect to the role of gas storage systems (GSSs). As a mixed-integer linear programming (MILP) problem, the model is applied to a real large-scale case study, i.e. the Iranian G&ES and is solved via the GAMS package. The simulation results reveal that incorporation of the interactions existing between G&ES into their planning problems in the framework of an EH can reach more flexible, realistic and optimal expansion plans compared with their traditional integrated expansion planning methods. Furthermore, findings show that the involvement capacities of GSSs provides the opportunity of optimal matching of demand with supply by increasing the productivity of the gas pipelines, allowing technically and economically sensible long-term management of gas supply systems.

Research paper thumbnail of A New Risk-Based Decentralized Model for Peer-to-Peer Energy Trading Among Smart Homes

International Journal of Industrial Electronics, Control and Optimization (IECO), 2022

Smart homes could have a significant impact on supplying the demand of both household consumers a... more Smart homes could have a significant impact on supplying the demand of both household consumers and the smart grid. Household consumers can trade energy via peer-to-peer (P2P) energy trading to reduce their costs. In other words, each of them can participate in the smart grid as a prosumer that can both produce and consume energy. On the other hand, more participation of smart homes in the demand-side management (DSM) program could help electricity decentralization. Also, energy storage systems (ESSs) and distributed energy resources (DERs) can lead to further decentralization of a smart microgrid. The production of renewable energy resources, such as photovoltaic (PV) systems, is associated with uncertainty. ESSs could be used as a reserve for PV systems. This paper presents a new risk-based model for P2P energy management of smart homes that consists of a PV system and EES and participates in the DSM program. The risk associated with the uncertainties of PVs' production and market prices has been modeled by conditional value-at-risk (CVaR). The mixed integer non-linear programming (MINLP) model of the problem has been solved by COUENNE in GAMS software. Numerical results show that the expected cost of all resources and the related risk is reduced by the proposed decision-making model for smart homes.

Research paper thumbnail of Overview of the Peer-to-Peer Transactions and Transactive Energy Concept, Challenges, and Outlook

Demand-Side Peer-to-Peer Energy Trading

Research paper thumbnail of A new flexible and resilient model for a smart grid considering joint power and reserve scheduling, vehicle-to-grid and demand response

Sustainable Energy Technologies and Assessments, 2021

Research paper thumbnail of A techno-economic assessment of energy efficiency in energy management of a micro grid considering green-virtual resources

Sustainable Cities and Society, 2020

This is a PDF file of an article that has undergone enhancements after acceptance, such as the ad... more This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Research paper thumbnail of An efficient hybrid structure to solve economic-environmental energy scheduling integrated with demand side management programs

Electrical Engineering, 2019

Nowadays, by increasing the amount of greenhouse gases (GHGs) emitted from electricity generation... more Nowadays, by increasing the amount of greenhouse gases (GHGs) emitted from electricity generation sector, substantial challenges will be forced to the power system scheduling problems. However, under the smart environment, the amount of GHGs can be declined by handling the consumers' demand. In this regard, this paper presents a two-stage framework concentrating on demand side management including energy efficiency programs and demand response programs as significant aspects of smart power system to handle system expenditures as well as pollutants. Therefore, in the first stage, investment rate on energy efficiency is specified over the midterm horizon time, and in the second one, a formulation of cost-andemission-based generation scheduling in the presence of demand side management programs has been performed. Finally, a novel index the so-called emission mitigation index is nominated to investigate the impacts of demand side management on evaluation of GHGs emissions' level. The IEEE 10 unit standard test system is conducted to evaluate the capability of demand side management in reduction of GHGs emissions and financial burden. Results indicate that by efficient utilization of demand side management programs, significant improvement is obtained.

Research paper thumbnail of Optimal Location of UPFC for ATC Enhancement in Restructured Power Systems

2007 Large Engineering Systems Conference on Power Engineering, 2007

In this paper the outlines of a novel technique to identify the optimal location for UPFC is disc... more In this paper the outlines of a novel technique to identify the optimal location for UPFC is discussed. Based on the repeated AC power flow method, the calculation of available transfer capacity (ATC) using UPFC is proposed. In order to increase ATC, voltage improvement as well as minimum capital cost the deployment of UPFC is suggested. By employing a combination

Research paper thumbnail of ATC enhancement using TCSC via artificial intelligent techniques

Electric Power Systems Research, 2008

Procurement of optimum available transfer capability (ATC) in the restructured electricity indust... more Procurement of optimum available transfer capability (ATC) in the restructured electricity industry is a crucial challenge with regards to open access to transmission network. This paper presents an approach to determine the optimum location and optimum capacity of TCSC in order to improve ATC as well as voltage profile. Real genetic algorithm (RGA) associated with analytical hierarchy process (AHP) and fuzzy sets are implemented as a hybrid heuristic technique in this paper to optimize such a complicated problem. The effectiveness of the proposed methodology is examined through different case studies.

Research paper thumbnail of A Pseudo-Dynamic Approach to Transmission Expansion Planning Problem

Journal of Iranian Association of Electrical and Electronics Engineers, 2019

Research paper thumbnail of Territory Concept to Improve Transmission Expansion Planning Problem Solution Algorithms

Scientia Iranica, 2015

This paper is devoted to solve transmission expansion planning (TEP) problems, via a constructive... more This paper is devoted to solve transmission expansion planning (TEP) problems, via a constructive heuristic algorithm (CHA) that can be employed as a sub-routine in a meta-heuristic procedure. In such a strategic methodology, CHA may improve the quality of trial solutions that speed up the convergence of the main algorithm. By introducing a “territory concept” for each derived local optimum, this paper proposes an approach, forcing CHA sub-procedures to explore new areas in the problem sub-space. Such modification is enforced to Villasana-Garver-Salon (VGS) algorithm, as a well-known kind of CHA, to improve its performance. The improved VGS is called territory-based VGS (TBVGS). In order to evaluate the performance of TBVGS, it is implemented on a meta-heuristic algorithm in which the performance of the obtained meta-heuristic algorithm is examined with different standard test systems as well as practical cases. Simulation studies and results analysis show a promising improvement ca...

Research paper thumbnail of A Less-Effort Method for Spatial Network Planning

Scientia Iranica, Sep 20, 2017

This paper presents a method to solve Spatial Network Planning (SNP) in power systems expansion. ... more This paper presents a method to solve Spatial Network Planning (SNP) in power systems expansion. SNP is an integration of Transmission Expansion Planning (TEP) and optimal line routing problems. In fact, SNP considers the impacts of lines routing on the network power ow. Therefore, it can exploit such impacts to attain a signi cant techno-economic solution. In this work, a preprocessing stage is employed to reduce the computational e ort demanded by line routing. Furthermore, a meta-heuristic algorithm is engaged to solve such a complicated problem. Applying these modi cations made it possible to solve SNP for large-scale systems with high-resolution rasterized maps. The proposed method is applied to a 3-bus system, an 18-bus test system as well as the original and modi ed versions of the IRAN southeast high-voltage transmission network to demonstrate the capability of the proposed methodology.

Research paper thumbnail of An Optimal Flexible Partitioning of Smart Distribution System Considering Electrical and Gas Infrastructure

2021 IEEE Madrid PowerTech, 2021

The resilient smart distribution system is intended to cope with low probability, high-risk extre... more The resilient smart distribution system is intended to cope with low probability, high-risk extreme events, including extreme natural disasters. In this regard, the flexible partitioning distribution system into supply-sufficient microgrids can be considered an interesting subject. This paper introduces a novel technique for partitioning a smart distribution system into supply-sufficient microgrids. In the presented model, the impact of demand response programs and energy storage has been considered in the proposed framework. Furthermore, besides the electricity aspects, the effects of gas network infrastructure on flexible portioning are also investigated to improve system resiliency facing natural disasters. The proposed model aims to maximize served load, which has been structured as a mixed integer linear programming (MILP) problem. The IEEE 34 bus standard test system is used to investigate the effectiveness of the proposed structure. The results of the study show that the proposed structure can increase the served load and the supplysufficiently of the smart grid power system.

Research paper thumbnail of Te Echno-E Econ Nom Mic Cal L e Ev Va Alua Atio on O of e Ev vs Par RK Kin NG L Lo

In this paper techno-economical evaluation of constructing an electric vehicles parking lot by a ... more In this paper techno-economical evaluation of constructing an electric vehicles parking lot by a distribution company is discussed. Electric Vehicles (EVs) have been the centre of attention in recent years because they can be used to form a bidirectional connection to the power grid. In this scheme an aggregation of electric vehicles can be used to provide ancillary services for a power grid which is known as Vehicle to Grid (V2G) concept. Aggregation of EVs in a parking lot can be considered as a distributed generation (DG) unit. During offpeak hours, power grid provides electrical energy for charging the EVs in a parking lot while during peak hours some part of their stored energy should be given back to the grid. In this paper, it is considered that the parking lot belongs to a distribution company. Such parking lots is considered as a distributed generation (DG) unit which may offer some advantages like emission reduction, power quality improvement, reliability enhancement and d...

Research paper thumbnail of A New Risk-based Decentralized Model for Peer-to-Peer Energy Trading Among Smart Homes

DOAJ (DOAJ: Directory of Open Access Journals), Oct 1, 2022

Research paper thumbnail of Eelctricity Price Forecasting Using WaveNet

2006 Large Engineering Systems Conference on Power Engineering, 2006

Abstract Under competitive electricity markets, various long-term and short-term contracts based ... more Abstract Under competitive electricity markets, various long-term and short-term contracts based on spot price are implemented by independent market operator (IMO) An accurate forecasting technique for spot price facilitates the market participants to develop bidding strategies in ...

Research paper thumbnail of Performance evaluation of an ANFIS based power system stabilizer applied in multi-machine power systems

… on Circuits and …, 2005

Abstract: - Power system stabilizers (PSSs) are utilized in order to make power systems stable af... more Abstract: - Power system stabilizers (PSSs) are utilized in order to make power systems stable after a large or small disturbance. Therefore PSSs must be capable of providing appropriate stabilization signal over a broad range of operational conditions and disturbances. Due to ...

Research paper thumbnail of Operating reserve provision in deregulated power markets

2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.02CH37309)

This paper presents a complementary approach to evaluate the operating reserve requirements. A co... more This paper presents a complementary approach to evaluate the operating reserve requirements. A combined deterministic and stochastic criterion is investigated as an extent of unit responsibility deterministic method for assessing operating reserve. Economical considerations associated with reliability concerns are applied for developing a cost benefit analysis methodology to derive the capacity reservation prices. Numerical results are reported to show the

Research paper thumbnail of A stochastic multi‐objective model for energy efficiency and renewable resource planning in energy communities: A sustainably cost‐effective trade‐off

IET Renewable Power Generation

The integration of energy efficiency programs and renewable resources in energy communities (EC) ... more The integration of energy efficiency programs and renewable resources in energy communities (EC) incorporating smart microgrids might be the future development of sustainable cities. Cooperation among EC with high penetration of renewable energy resources will support energy procurement. Mutual energy efficiency programs in EC associated with deploying renewable resources can guarantee sustainable development significantly. This paper proposes a new sustainability index (SI) influenced by the loss of load reduction while increasing the penetration of renewable energies. A multi‐objective optimization method is used to determine the optimal size and location of renewable resources incorporating energy efficiency programs. The objective functions, that is, the total cost and SI, are based upon social, economic, environmental, and technical (SEET) considerations. Since the outputs of renewable energies are uncertain, it may increase the loss of load probability. Therefore, this paper i...

Research paper thumbnail of A new model for reliability-centered maintenance prioritisation of distribution feeders

Energy, 2019

Maintenance of distribution systems has become more important due to the need to increase energy ... more Maintenance of distribution systems has become more important due to the need to increase energy availability, quality and safety, and also reduce operation cost. Accordingly, the maintenance strategy in distribution systems is one of the most important decision-making activities. One of the most important evaluations for deciding the adequate performance of power distribution system is the identification of the critical components. On the other hand, the budget for maintenance of components is limited, so the maintenance should only be performed on critical components. Identifying the critical components is used to achieve the objective of minimising the cost for maintenance actions. This paper presents a new weighted importance (WI) reliability index model and proposes an appropriate method in order to prioritise the elements of distribution system for reliability-centered maintenance (RCM) at two different levels. At the first level, the feeders of a sample distribution substation are prioritised for the RCM actions. The second level is more detailed than the first level. At the second level, the components of a sample feeder are prioritised for the RCM actions. The reliability of system can be increased to as much as required level while minimal maintenance to be done by the maintenance prioritisation of the system components and performing the maintenance actions on the critical components. Appropriate maintenance decision-making for the critical components of distribution system can lead to the improvement in the reliability of distribution system.

Research paper thumbnail of Perturbation method based evaluation of power system voltage security

2006 IEEE GCC Conference (GCC), 2006

Security in stressed power systems is seriously affected by voltage collapse phenomena. This pape... more Security in stressed power systems is seriously affected by voltage collapse phenomena. This paper proposes a new algorithm for determining the voltage security margin. The algorithm is based on the perturbation method and has a very high computational efficiency. Therefore it can be used for on-line and realtime voltage evaluation. The proposed approach has been validated using IEEE14, IEEE30 and IEEE57 Bus systems .

Research paper thumbnail of Heat and Electricity Supply Chains Expansion Planning Under the Umbrella of Energy Hub: A Case Study of Iran

Scientia Iranica, 2020

Increases in tightening the correlation of gas and electricity systems (G&ES), affected by divers... more Increases in tightening the correlation of gas and electricity systems (G&ES), affected by diverse factors, ranging from anthropogenic climate change to the advent of new conversion/generation technologies, have remarkably brought the co-expansion of G&ES using a new concept, the socalled Energy Hub (EH), as well as the potential of storage systems into focus. To assess the effectiveness of EH approach and the role of storages in the coordinated plans of G&ES, this paper proposes a comprehensive EH-based planning model for co-expansion of G&ES supply chains with respect to the role of gas storage systems (GSSs). As a mixed-integer linear programming (MILP) problem, the model is applied to a real large-scale case study, i.e. the Iranian G&ES and is solved via the GAMS package. The simulation results reveal that incorporation of the interactions existing between G&ES into their planning problems in the framework of an EH can reach more flexible, realistic and optimal expansion plans compared with their traditional integrated expansion planning methods. Furthermore, findings show that the involvement capacities of GSSs provides the opportunity of optimal matching of demand with supply by increasing the productivity of the gas pipelines, allowing technically and economically sensible long-term management of gas supply systems.

Research paper thumbnail of A New Risk-Based Decentralized Model for Peer-to-Peer Energy Trading Among Smart Homes

International Journal of Industrial Electronics, Control and Optimization (IECO), 2022

Smart homes could have a significant impact on supplying the demand of both household consumers a... more Smart homes could have a significant impact on supplying the demand of both household consumers and the smart grid. Household consumers can trade energy via peer-to-peer (P2P) energy trading to reduce their costs. In other words, each of them can participate in the smart grid as a prosumer that can both produce and consume energy. On the other hand, more participation of smart homes in the demand-side management (DSM) program could help electricity decentralization. Also, energy storage systems (ESSs) and distributed energy resources (DERs) can lead to further decentralization of a smart microgrid. The production of renewable energy resources, such as photovoltaic (PV) systems, is associated with uncertainty. ESSs could be used as a reserve for PV systems. This paper presents a new risk-based model for P2P energy management of smart homes that consists of a PV system and EES and participates in the DSM program. The risk associated with the uncertainties of PVs' production and market prices has been modeled by conditional value-at-risk (CVaR). The mixed integer non-linear programming (MINLP) model of the problem has been solved by COUENNE in GAMS software. Numerical results show that the expected cost of all resources and the related risk is reduced by the proposed decision-making model for smart homes.

Research paper thumbnail of Overview of the Peer-to-Peer Transactions and Transactive Energy Concept, Challenges, and Outlook

Demand-Side Peer-to-Peer Energy Trading

Research paper thumbnail of A new flexible and resilient model for a smart grid considering joint power and reserve scheduling, vehicle-to-grid and demand response

Sustainable Energy Technologies and Assessments, 2021

Research paper thumbnail of A techno-economic assessment of energy efficiency in energy management of a micro grid considering green-virtual resources

Sustainable Cities and Society, 2020

This is a PDF file of an article that has undergone enhancements after acceptance, such as the ad... more This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Research paper thumbnail of An efficient hybrid structure to solve economic-environmental energy scheduling integrated with demand side management programs

Electrical Engineering, 2019

Nowadays, by increasing the amount of greenhouse gases (GHGs) emitted from electricity generation... more Nowadays, by increasing the amount of greenhouse gases (GHGs) emitted from electricity generation sector, substantial challenges will be forced to the power system scheduling problems. However, under the smart environment, the amount of GHGs can be declined by handling the consumers' demand. In this regard, this paper presents a two-stage framework concentrating on demand side management including energy efficiency programs and demand response programs as significant aspects of smart power system to handle system expenditures as well as pollutants. Therefore, in the first stage, investment rate on energy efficiency is specified over the midterm horizon time, and in the second one, a formulation of cost-andemission-based generation scheduling in the presence of demand side management programs has been performed. Finally, a novel index the so-called emission mitigation index is nominated to investigate the impacts of demand side management on evaluation of GHGs emissions' level. The IEEE 10 unit standard test system is conducted to evaluate the capability of demand side management in reduction of GHGs emissions and financial burden. Results indicate that by efficient utilization of demand side management programs, significant improvement is obtained.

Research paper thumbnail of Optimal Location of UPFC for ATC Enhancement in Restructured Power Systems

2007 Large Engineering Systems Conference on Power Engineering, 2007

In this paper the outlines of a novel technique to identify the optimal location for UPFC is disc... more In this paper the outlines of a novel technique to identify the optimal location for UPFC is discussed. Based on the repeated AC power flow method, the calculation of available transfer capacity (ATC) using UPFC is proposed. In order to increase ATC, voltage improvement as well as minimum capital cost the deployment of UPFC is suggested. By employing a combination

Research paper thumbnail of ATC enhancement using TCSC via artificial intelligent techniques

Electric Power Systems Research, 2008

Procurement of optimum available transfer capability (ATC) in the restructured electricity indust... more Procurement of optimum available transfer capability (ATC) in the restructured electricity industry is a crucial challenge with regards to open access to transmission network. This paper presents an approach to determine the optimum location and optimum capacity of TCSC in order to improve ATC as well as voltage profile. Real genetic algorithm (RGA) associated with analytical hierarchy process (AHP) and fuzzy sets are implemented as a hybrid heuristic technique in this paper to optimize such a complicated problem. The effectiveness of the proposed methodology is examined through different case studies.

Research paper thumbnail of A Pseudo-Dynamic Approach to Transmission Expansion Planning Problem

Journal of Iranian Association of Electrical and Electronics Engineers, 2019

Research paper thumbnail of Territory Concept to Improve Transmission Expansion Planning Problem Solution Algorithms

Scientia Iranica, 2015

This paper is devoted to solve transmission expansion planning (TEP) problems, via a constructive... more This paper is devoted to solve transmission expansion planning (TEP) problems, via a constructive heuristic algorithm (CHA) that can be employed as a sub-routine in a meta-heuristic procedure. In such a strategic methodology, CHA may improve the quality of trial solutions that speed up the convergence of the main algorithm. By introducing a “territory concept” for each derived local optimum, this paper proposes an approach, forcing CHA sub-procedures to explore new areas in the problem sub-space. Such modification is enforced to Villasana-Garver-Salon (VGS) algorithm, as a well-known kind of CHA, to improve its performance. The improved VGS is called territory-based VGS (TBVGS). In order to evaluate the performance of TBVGS, it is implemented on a meta-heuristic algorithm in which the performance of the obtained meta-heuristic algorithm is examined with different standard test systems as well as practical cases. Simulation studies and results analysis show a promising improvement ca...

Research paper thumbnail of A Less-Effort Method for Spatial Network Planning

Scientia Iranica, Sep 20, 2017

This paper presents a method to solve Spatial Network Planning (SNP) in power systems expansion. ... more This paper presents a method to solve Spatial Network Planning (SNP) in power systems expansion. SNP is an integration of Transmission Expansion Planning (TEP) and optimal line routing problems. In fact, SNP considers the impacts of lines routing on the network power ow. Therefore, it can exploit such impacts to attain a signi cant techno-economic solution. In this work, a preprocessing stage is employed to reduce the computational e ort demanded by line routing. Furthermore, a meta-heuristic algorithm is engaged to solve such a complicated problem. Applying these modi cations made it possible to solve SNP for large-scale systems with high-resolution rasterized maps. The proposed method is applied to a 3-bus system, an 18-bus test system as well as the original and modi ed versions of the IRAN southeast high-voltage transmission network to demonstrate the capability of the proposed methodology.

Research paper thumbnail of An Optimal Flexible Partitioning of Smart Distribution System Considering Electrical and Gas Infrastructure

2021 IEEE Madrid PowerTech, 2021

The resilient smart distribution system is intended to cope with low probability, high-risk extre... more The resilient smart distribution system is intended to cope with low probability, high-risk extreme events, including extreme natural disasters. In this regard, the flexible partitioning distribution system into supply-sufficient microgrids can be considered an interesting subject. This paper introduces a novel technique for partitioning a smart distribution system into supply-sufficient microgrids. In the presented model, the impact of demand response programs and energy storage has been considered in the proposed framework. Furthermore, besides the electricity aspects, the effects of gas network infrastructure on flexible portioning are also investigated to improve system resiliency facing natural disasters. The proposed model aims to maximize served load, which has been structured as a mixed integer linear programming (MILP) problem. The IEEE 34 bus standard test system is used to investigate the effectiveness of the proposed structure. The results of the study show that the proposed structure can increase the served load and the supplysufficiently of the smart grid power system.

Research paper thumbnail of Te Echno-E Econ Nom Mic Cal L e Ev Va Alua Atio on O of e Ev vs Par RK Kin NG L Lo

In this paper techno-economical evaluation of constructing an electric vehicles parking lot by a ... more In this paper techno-economical evaluation of constructing an electric vehicles parking lot by a distribution company is discussed. Electric Vehicles (EVs) have been the centre of attention in recent years because they can be used to form a bidirectional connection to the power grid. In this scheme an aggregation of electric vehicles can be used to provide ancillary services for a power grid which is known as Vehicle to Grid (V2G) concept. Aggregation of EVs in a parking lot can be considered as a distributed generation (DG) unit. During offpeak hours, power grid provides electrical energy for charging the EVs in a parking lot while during peak hours some part of their stored energy should be given back to the grid. In this paper, it is considered that the parking lot belongs to a distribution company. Such parking lots is considered as a distributed generation (DG) unit which may offer some advantages like emission reduction, power quality improvement, reliability enhancement and d...