Anestis Anastasiadis - Academia.edu (original) (raw)

Papers by Anestis Anastasiadis

Research paper thumbnail of Probabilistic Load Flow methods with high integration of Renewable Energy Sources and Electric Vehicles - case study of Greece

ABSTRACT This paper exams the large distribution power system of Greece with high integration of ... more ABSTRACT This paper exams the large distribution power system of Greece with high integration of Renewable Energy Resources (RES) and Electrical Vehicles (EV) using Probabilistic Load Flow (PLF) techniques. These techniques provide Cumulative Density Functions (CDF) of branch power flows, node voltages and active power line losses with large variations of RES and EV integration. When different charging strategies of EV (dump charging, dual tariff policy and mixed charging) take place then lead to significant uncertainty in node injections. In order to tackle this issue, it is adopted and enhanced PLF methods to cope with EV nodal loads. Two methods are investigated for the calculation of Probabilistic Density Function (PDF) of RES' production, Gram - Charlier (G-C) and Cornish Fisher (C-F). All the PLF results are compared with Monte Carlo (MC) method.

Research paper thumbnail of Economic benefits of Smart Microgrids with penetration of DER and mCHP units for non-interconnected islands

Renewable Energy, Nov 1, 2019

Research paper thumbnail of The International Conference on Technologies and Materials for Renewable Energy, Environment and Sustainability, TMREES14 Effects of Carbon Taxation, Distributed Generation and Electricity Storage Technologies on a Microgrid

Research paper thumbnail of Losses in a LV-Microgrid with the Presence of Reactive Power and CHP Units

ABSTRACT Microgrids are Low Voltage (LV) distribution networks comprising various Distributed Ene... more ABSTRACT Microgrids are Low Voltage (LV) distribution networks comprising various Distributed Energy Resources (DER), namely Distributed Generations (DG), and storage devices together with controllable or flexible loads that can operate either interconnected or isolated from the main distribution grid as one controlled entity. The main purpose of this analysis is to investigate the active power losses resulting from the coordinated control of DER in Microgrid operation by their owners, in comparison with DER individual operation aiming at the supply of their in-house loads only. Absence of the distributed resources, and therefore the satisfaction of the full load from the upstream network, is considered as the base case. Moreover, each operating scenario is examined under the assumption of both absence and presence of reactive power demand and production. Non-unity power factors introduce a more realistic approach of power losses in a LV-network. Finally, a sensitivity analysis is carried out in order to determine how the increase or reduction of the installed DG affects power losses in all operating scenarios.

Research paper thumbnail of Assessment of flexibility options in electric power systems based on maturity, environmental impact and barriers using Fuzzy Logic method and Analytic Hierarchy Process

Research paper thumbnail of A review of flexibility options for high RES penetration in power systems — Focusing the Greek case

Research paper thumbnail of Demand Response schemes in Energy Hubs: A comparison study

Energy Procedia, 2019

District heating networks are commonly addressed in the literature as one of the most effective s... more District heating networks are commonly addressed in the literature as one of the most effective solutions for decreasing the greenhouse gas emissions from the building sector. These systems require high investments which are returned through the heat sales. Due to the changed climate conditions and building renovation policies, heat demand in the future could decrease, prolonging the investment return period. The main scope of this paper is to assess the feasibility of using the heat demand-outdoor temperature function for heat demand forecast. The district of Alvalade, located in Lisbon (Portugal), was used as a case study. The district is consisted of 665 buildings that vary in both construction period and typology. Three weather scenarios (low, medium, high) and three district renovation scenarios were developed (shallow, intermediate, deep). To estimate the error, obtained heat demand values were compared with results from a dynamic heat demand model, previously developed and validated by the authors. The results showed that when only weather change is considered, the margin of error could be acceptable for some applications (the error in annual demand was lower than 20% for all weather scenarios considered). However, after introducing renovation scenarios, the error value increased up to 59.5% (depending on the weather and renovation scenarios combination considered). The value of slope coefficient increased on average within the range of 3.8% up to 8% per decade, that corresponds to the decrease in the number of heating hours of 22-139h during the heating season (depending on the combination of weather and renovation scenarios considered). On the other hand, function intercept increased for 7.8-12.7% per decade (depending on the coupled scenarios). The values suggested could be used to modify the function parameters for the scenarios considered, and improve the accuracy of heat demand estimations.

Research paper thumbnail of Overview of Distributed Energy Resources

Smart Grid Handbook, 2016

Research paper thumbnail of Stochastic PSO-based heat and power dispatch under environmental constraints incorporating CHP and wind power units

Electric Power Systems Research, 2011

In this paper an extended stochastic multi-objective model for economic dispatch (ED) is proposed... more In this paper an extended stochastic multi-objective model for economic dispatch (ED) is proposed, that incorporates in the optimization process heat and power from CHP units and expected wind power. Stochastic restrictions for the CO2, SO2 and NOx emissions are used as inequality constraints. The ED problem is solved using a multi-objective particle swarm optimization technique. The available wind power

Research paper thumbnail of Electricity infrastructure inspection using AI and edge platform-based UAVs

Research paper thumbnail of Microgrids protection schemes, challenges and strategies

TECHNOLOGIES AND MATERIALS FOR RENEWABLE ENERGY, ENVIRONMENT AND SUSTAINABILITY: TMREES21Gr

Research paper thumbnail of Assessing flexibility options in power systems using Fuzzy Logic and AHP methods

Research paper thumbnail of Economic investigation of a Vanadium Redox BESS for the exploitation of wind power rejections in an isolated Greek Island

Research paper thumbnail of Optimal levelised cost of system values with increasing renewable energy sources in a smart microgrid

TECHNOLOGIES AND MATERIALS FOR RENEWABLE ENERGY, ENVIRONMENT AND SUSTAINABILITY: TMREES19Gr, 2019

Nowadays, as manufacturing costs for distributed power generation technologies fall, the economic... more Nowadays, as manufacturing costs for distributed power generation technologies fall, the economic equation is increasingly favouring Renewable Energy Sources (RES) technologies. The high electricity cost of small electricity systems, coupled with oil price volatility, desire for energy security, and the relatively higher vulnerability of them to the impacts of climate change, build a strong rationale for them to shift towards sustainable energy systems. There is a significant research into the topic of optimal renewable energy configurations for small electrical systems, which has predominantly focused on wind, Photovoltaics as generation technologies, coupled with batteries. In this paper, we will investigate how the optimum configuration and costs of RES and Microturbine (MT) on a Smart Microgrid (S-MG) change with increasing penetration of MT source. A well-established index in the energy field for quantifying and comparing the costs of electricity generation technologies is the Levelised Cost of Electricity (or Energy) (LCOE). In this paper, the LCOE index serves as a useful basis for our study in proposed S-MG.

Research paper thumbnail of Effect of augmented distributed generation in distribution networks

Energy Reports, 2019

This paper aims to study the effect of augmented Distributed Generation (DG) penetration in the b... more This paper aims to study the effect of augmented Distributed Generation (DG) penetration in the basic indices of the distribution network (voltage, angle, power flow, thermal fatigue of cables). For this purpose, a realistic expansion of an existing distribution grid is considered, after looking up theoretically the basic principles of distribution grids and DGs. The case study grid is analyzed as to its basic indices depending on the level of penetration of distributed generation so as to find the necessary but also the optimal penetration. Subsequently, for every different penetration level, the key indices of the grid are discussed and it is estimated whether this specific level is technically sufficient. The optimum penetration level as well as Distributed Energy Resources (DER) hosting capacity is also discussed. c

Research paper thumbnail of Economic impact of V2G technology in a smart microgrid

AIP Conference Proceedings, 2018

Research paper thumbnail of Comparison study of the technical characteristics and financial analysis of electric battery storage systems for residential grid

AIP Conference Proceedings, 2018

Research paper thumbnail of Algorithms development for the energy management of a micro combined heat and power unit in an AC-DC microgrid

AIP Conference Proceedings, 2019

In the past few years, a lot of research has been done in the field of Microgrids (MG) and Smart ... more In the past few years, a lot of research has been done in the field of Microgrids (MG) and Smart Grids (SG). The goals of them are to make the power infrastructure more reliable, effective and to incorporate Distributed Generations (DG) for example Renewable Energy Sources (RES), Combined Heat and Power (CHP) systems, Batteries in an efficient and cost-effective manner. Nowadays, roof top solar systems and micro CHP have become really popular for home usage. With the installation of solar Photovoltaics (PV), and micro CHP (mCHP) users are already participating in the operation of DC-AC systems. Therefore, it is important to control their usage. This can be done using an Energy Management System (EMS). The whole system (home and power grid) can be controlled on various parameters. These parameters can include power generated from solar PV, mCHP and power grid, state of charge of battery, AC and DC load demand, price of power, selection of renewable or grid power by the user, etc. The purpose of this paper is to develop appropriate control algorithms for the energy management of DG units in an AC/DC Microgrid which mainly incorporated PVs units (PV), mCHP and Batteries. The main focus is on the energy control and management of the mCHP system in order to meet the consumers' electrical and thermal needs and to minimize the power flow from the main power grid. All algorithms have been implemented with the Matlab program.

Research paper thumbnail of Effects of different charging and discharging strategies of electric vehicles under various pricing policies in a smart microgrid

Progress in Industrial Ecology, An International Journal, 2019

The heat release law of lithium ion battery during different cycles of chargingdischarging rate w... more The heat release law of lithium ion battery during different cycles of chargingdischarging rate was studied by the LAND testing device. Studies have shown that: When charging at 0.5C and discharge cycles at 0.5C, 1C, 2C, and 3C, respectively, the battery cycle heat dissipation increases with the increase of the discharge rate, and the temperature rise ratio of the battery after the 3C cycle is 0.5C, 1C, 2C is

Research paper thumbnail of Simulation and Implementation of a SPWM Inverter Pulse Generator Circuit for Educational Purposes

Energy Procedia, 2019

District heating networks are commonly addressed in the literature as one of the most effective s... more District heating networks are commonly addressed in the literature as one of the most effective solutions for decreasing the greenhouse gas emissions from the building sector. These systems require high investments which are returned through the heat sales. Due to the changed climate conditions and building renovation policies, heat demand in the future could decrease, prolonging the investment return period. The main scope of this paper is to assess the feasibility of using the heat demand-outdoor temperature function for heat demand forecast. The district of Alvalade, located in Lisbon (Portugal), was used as a case study. The district is consisted of 665 buildings that vary in both construction period and typology. Three weather scenarios (low, medium, high) and three district renovation scenarios were developed (shallow, intermediate, deep). To estimate the error, obtained heat demand values were compared with results from a dynamic heat demand model, previously developed and validated by the authors. The results showed that when only weather change is considered, the margin of error could be acceptable for some applications (the error in annual demand was lower than 20% for all weather scenarios considered). However, after introducing renovation scenarios, the error value increased up to 59.5% (depending on the weather and renovation scenarios combination considered). The value of slope coefficient increased on average within the range of 3.8% up to 8% per decade, that corresponds to the decrease in the number of heating hours of 22-139h during the heating season (depending on the combination of weather and renovation scenarios considered). On the other hand, function intercept increased for 7.8-12.7% per decade (depending on the coupled scenarios). The values suggested could be used to modify the function parameters for the scenarios considered, and improve the accuracy of heat demand estimations.

Research paper thumbnail of Probabilistic Load Flow methods with high integration of Renewable Energy Sources and Electric Vehicles - case study of Greece

ABSTRACT This paper exams the large distribution power system of Greece with high integration of ... more ABSTRACT This paper exams the large distribution power system of Greece with high integration of Renewable Energy Resources (RES) and Electrical Vehicles (EV) using Probabilistic Load Flow (PLF) techniques. These techniques provide Cumulative Density Functions (CDF) of branch power flows, node voltages and active power line losses with large variations of RES and EV integration. When different charging strategies of EV (dump charging, dual tariff policy and mixed charging) take place then lead to significant uncertainty in node injections. In order to tackle this issue, it is adopted and enhanced PLF methods to cope with EV nodal loads. Two methods are investigated for the calculation of Probabilistic Density Function (PDF) of RES' production, Gram - Charlier (G-C) and Cornish Fisher (C-F). All the PLF results are compared with Monte Carlo (MC) method.

Research paper thumbnail of Economic benefits of Smart Microgrids with penetration of DER and mCHP units for non-interconnected islands

Renewable Energy, Nov 1, 2019

Research paper thumbnail of The International Conference on Technologies and Materials for Renewable Energy, Environment and Sustainability, TMREES14 Effects of Carbon Taxation, Distributed Generation and Electricity Storage Technologies on a Microgrid

Research paper thumbnail of Losses in a LV-Microgrid with the Presence of Reactive Power and CHP Units

ABSTRACT Microgrids are Low Voltage (LV) distribution networks comprising various Distributed Ene... more ABSTRACT Microgrids are Low Voltage (LV) distribution networks comprising various Distributed Energy Resources (DER), namely Distributed Generations (DG), and storage devices together with controllable or flexible loads that can operate either interconnected or isolated from the main distribution grid as one controlled entity. The main purpose of this analysis is to investigate the active power losses resulting from the coordinated control of DER in Microgrid operation by their owners, in comparison with DER individual operation aiming at the supply of their in-house loads only. Absence of the distributed resources, and therefore the satisfaction of the full load from the upstream network, is considered as the base case. Moreover, each operating scenario is examined under the assumption of both absence and presence of reactive power demand and production. Non-unity power factors introduce a more realistic approach of power losses in a LV-network. Finally, a sensitivity analysis is carried out in order to determine how the increase or reduction of the installed DG affects power losses in all operating scenarios.

Research paper thumbnail of Assessment of flexibility options in electric power systems based on maturity, environmental impact and barriers using Fuzzy Logic method and Analytic Hierarchy Process

Research paper thumbnail of A review of flexibility options for high RES penetration in power systems — Focusing the Greek case

Research paper thumbnail of Demand Response schemes in Energy Hubs: A comparison study

Energy Procedia, 2019

District heating networks are commonly addressed in the literature as one of the most effective s... more District heating networks are commonly addressed in the literature as one of the most effective solutions for decreasing the greenhouse gas emissions from the building sector. These systems require high investments which are returned through the heat sales. Due to the changed climate conditions and building renovation policies, heat demand in the future could decrease, prolonging the investment return period. The main scope of this paper is to assess the feasibility of using the heat demand-outdoor temperature function for heat demand forecast. The district of Alvalade, located in Lisbon (Portugal), was used as a case study. The district is consisted of 665 buildings that vary in both construction period and typology. Three weather scenarios (low, medium, high) and three district renovation scenarios were developed (shallow, intermediate, deep). To estimate the error, obtained heat demand values were compared with results from a dynamic heat demand model, previously developed and validated by the authors. The results showed that when only weather change is considered, the margin of error could be acceptable for some applications (the error in annual demand was lower than 20% for all weather scenarios considered). However, after introducing renovation scenarios, the error value increased up to 59.5% (depending on the weather and renovation scenarios combination considered). The value of slope coefficient increased on average within the range of 3.8% up to 8% per decade, that corresponds to the decrease in the number of heating hours of 22-139h during the heating season (depending on the combination of weather and renovation scenarios considered). On the other hand, function intercept increased for 7.8-12.7% per decade (depending on the coupled scenarios). The values suggested could be used to modify the function parameters for the scenarios considered, and improve the accuracy of heat demand estimations.

Research paper thumbnail of Overview of Distributed Energy Resources

Smart Grid Handbook, 2016

Research paper thumbnail of Stochastic PSO-based heat and power dispatch under environmental constraints incorporating CHP and wind power units

Electric Power Systems Research, 2011

In this paper an extended stochastic multi-objective model for economic dispatch (ED) is proposed... more In this paper an extended stochastic multi-objective model for economic dispatch (ED) is proposed, that incorporates in the optimization process heat and power from CHP units and expected wind power. Stochastic restrictions for the CO2, SO2 and NOx emissions are used as inequality constraints. The ED problem is solved using a multi-objective particle swarm optimization technique. The available wind power

Research paper thumbnail of Electricity infrastructure inspection using AI and edge platform-based UAVs

Research paper thumbnail of Microgrids protection schemes, challenges and strategies

TECHNOLOGIES AND MATERIALS FOR RENEWABLE ENERGY, ENVIRONMENT AND SUSTAINABILITY: TMREES21Gr

Research paper thumbnail of Assessing flexibility options in power systems using Fuzzy Logic and AHP methods

Research paper thumbnail of Economic investigation of a Vanadium Redox BESS for the exploitation of wind power rejections in an isolated Greek Island

Research paper thumbnail of Optimal levelised cost of system values with increasing renewable energy sources in a smart microgrid

TECHNOLOGIES AND MATERIALS FOR RENEWABLE ENERGY, ENVIRONMENT AND SUSTAINABILITY: TMREES19Gr, 2019

Nowadays, as manufacturing costs for distributed power generation technologies fall, the economic... more Nowadays, as manufacturing costs for distributed power generation technologies fall, the economic equation is increasingly favouring Renewable Energy Sources (RES) technologies. The high electricity cost of small electricity systems, coupled with oil price volatility, desire for energy security, and the relatively higher vulnerability of them to the impacts of climate change, build a strong rationale for them to shift towards sustainable energy systems. There is a significant research into the topic of optimal renewable energy configurations for small electrical systems, which has predominantly focused on wind, Photovoltaics as generation technologies, coupled with batteries. In this paper, we will investigate how the optimum configuration and costs of RES and Microturbine (MT) on a Smart Microgrid (S-MG) change with increasing penetration of MT source. A well-established index in the energy field for quantifying and comparing the costs of electricity generation technologies is the Levelised Cost of Electricity (or Energy) (LCOE). In this paper, the LCOE index serves as a useful basis for our study in proposed S-MG.

Research paper thumbnail of Effect of augmented distributed generation in distribution networks

Energy Reports, 2019

This paper aims to study the effect of augmented Distributed Generation (DG) penetration in the b... more This paper aims to study the effect of augmented Distributed Generation (DG) penetration in the basic indices of the distribution network (voltage, angle, power flow, thermal fatigue of cables). For this purpose, a realistic expansion of an existing distribution grid is considered, after looking up theoretically the basic principles of distribution grids and DGs. The case study grid is analyzed as to its basic indices depending on the level of penetration of distributed generation so as to find the necessary but also the optimal penetration. Subsequently, for every different penetration level, the key indices of the grid are discussed and it is estimated whether this specific level is technically sufficient. The optimum penetration level as well as Distributed Energy Resources (DER) hosting capacity is also discussed. c

Research paper thumbnail of Economic impact of V2G technology in a smart microgrid

AIP Conference Proceedings, 2018

Research paper thumbnail of Comparison study of the technical characteristics and financial analysis of electric battery storage systems for residential grid

AIP Conference Proceedings, 2018

Research paper thumbnail of Algorithms development for the energy management of a micro combined heat and power unit in an AC-DC microgrid

AIP Conference Proceedings, 2019

In the past few years, a lot of research has been done in the field of Microgrids (MG) and Smart ... more In the past few years, a lot of research has been done in the field of Microgrids (MG) and Smart Grids (SG). The goals of them are to make the power infrastructure more reliable, effective and to incorporate Distributed Generations (DG) for example Renewable Energy Sources (RES), Combined Heat and Power (CHP) systems, Batteries in an efficient and cost-effective manner. Nowadays, roof top solar systems and micro CHP have become really popular for home usage. With the installation of solar Photovoltaics (PV), and micro CHP (mCHP) users are already participating in the operation of DC-AC systems. Therefore, it is important to control their usage. This can be done using an Energy Management System (EMS). The whole system (home and power grid) can be controlled on various parameters. These parameters can include power generated from solar PV, mCHP and power grid, state of charge of battery, AC and DC load demand, price of power, selection of renewable or grid power by the user, etc. The purpose of this paper is to develop appropriate control algorithms for the energy management of DG units in an AC/DC Microgrid which mainly incorporated PVs units (PV), mCHP and Batteries. The main focus is on the energy control and management of the mCHP system in order to meet the consumers' electrical and thermal needs and to minimize the power flow from the main power grid. All algorithms have been implemented with the Matlab program.

Research paper thumbnail of Effects of different charging and discharging strategies of electric vehicles under various pricing policies in a smart microgrid

Progress in Industrial Ecology, An International Journal, 2019

The heat release law of lithium ion battery during different cycles of chargingdischarging rate w... more The heat release law of lithium ion battery during different cycles of chargingdischarging rate was studied by the LAND testing device. Studies have shown that: When charging at 0.5C and discharge cycles at 0.5C, 1C, 2C, and 3C, respectively, the battery cycle heat dissipation increases with the increase of the discharge rate, and the temperature rise ratio of the battery after the 3C cycle is 0.5C, 1C, 2C is

Research paper thumbnail of Simulation and Implementation of a SPWM Inverter Pulse Generator Circuit for Educational Purposes

Energy Procedia, 2019

District heating networks are commonly addressed in the literature as one of the most effective s... more District heating networks are commonly addressed in the literature as one of the most effective solutions for decreasing the greenhouse gas emissions from the building sector. These systems require high investments which are returned through the heat sales. Due to the changed climate conditions and building renovation policies, heat demand in the future could decrease, prolonging the investment return period. The main scope of this paper is to assess the feasibility of using the heat demand-outdoor temperature function for heat demand forecast. The district of Alvalade, located in Lisbon (Portugal), was used as a case study. The district is consisted of 665 buildings that vary in both construction period and typology. Three weather scenarios (low, medium, high) and three district renovation scenarios were developed (shallow, intermediate, deep). To estimate the error, obtained heat demand values were compared with results from a dynamic heat demand model, previously developed and validated by the authors. The results showed that when only weather change is considered, the margin of error could be acceptable for some applications (the error in annual demand was lower than 20% for all weather scenarios considered). However, after introducing renovation scenarios, the error value increased up to 59.5% (depending on the weather and renovation scenarios combination considered). The value of slope coefficient increased on average within the range of 3.8% up to 8% per decade, that corresponds to the decrease in the number of heating hours of 22-139h during the heating season (depending on the combination of weather and renovation scenarios considered). On the other hand, function intercept increased for 7.8-12.7% per decade (depending on the coupled scenarios). The values suggested could be used to modify the function parameters for the scenarios considered, and improve the accuracy of heat demand estimations.