Mustafa Mosbah - Academia.edu (original) (raw)

Papers by Mustafa Mosbah

Computers, Materials & Continua

2018 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM)

An Optimal Power Flow (OPF) for transmission power system whith presence of photovoltaic based DG... more An Optimal Power Flow (OPF) for transmission power system whith presence of photovoltaic based DG (PV-DG) is proposed by this study. We have minimized power losses using Biogeography-Based Optimization method (BBO) by the objective function. This method has determined the optimal PV-DG size and location in a transmission power system. The BBO method has been examined and tested by the modified IEEE 30_bus, and validated by reduced Algerian power system (114_bus) using MATLAB software.

Renewable Energy - Technologies and Applications

The integration of renewable sources into the power system has now become an unavoidable necessit... more The integration of renewable sources into the power system has now become an unavoidable necessity for these technical and economic advantages and for the protection of the environment. In this chapter, a study is given for the integration of the Distributed Source (DS) in an optimal way and this by looking for the best location (sites) and the best power to be injected (size). The optimization technique used is based on genetic algorithms under technical and safety constraints, with the aim of minimizing active network losses and maximizing voltage stability. These objective functions are handled as a single and multi-objective problem. This study is applied on the standard IEEE 30 bus network under the MATLAB code.

2019 Algerian Large Electrical Network Conference (CAGRE), 2019

The integration of photovoltaic source (PVS), brings new challenges to power system operation. Th... more The integration of photovoltaic source (PVS), brings new challenges to power system operation. This paper proposed the determination of the optimal site and size of PVS in electrical network using differential evolution (DE) method considering technical and security constraints to minimize active loss. The DE technique is applied on Algerian 114 bus power system using MATLAB software.

2018 3rd International Conference on Pattern Analysis and Intelligent Systems (PAIS), 2018

This work presents a multiobjective optimization approach to search the optimal position and size... more This work presents a multiobjective optimization approach to search the optimal position and size of many Wind based on Distributed Generation (WDG) in radial distribution network (DN). The goal are to minimize the active power losses (APL) and to maximize the voltage stability index (VSI). A multiobjective differential evolution with ranking-based mutation operator (MODE-RMO) algorithm is used to obtain the set of optimal Pareto solutions. The technique of fuzzy logic was used in order to chosen the best arrangement solution from the optimal Pareto. The approach is tested on IEEE network (69 bus) and validated on Algerian DN (59 bus).

2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B), 2017

This paper present multi-objective optimization for optimal multi DG location and sizes in radial... more This paper present multi-objective optimization for optimal multi DG location and sizes in radial networks. The objectives fitness considered are minimize active power losses and maximize voltage stability. The hybrid technique based on NSGA-II and Fuzzy logic is used to determine optimal solutions. The proposed technique is tested on diversesizes of IEEE distribution network (10bus, 33bus and 85bus) and validated on Algerian distribution network (116bus).

Journal of Electrical Systems, 2018

The power electrical distribution network have a very weakly meshed reconfiguration, with loops b... more The power electrical distribution network have a very weakly meshed reconfiguration, with loops between different source stations, but the operation is carried out via a tree-based reconfiguration. This reconfiguration is determined by the closing and opening of switches device in objective to optimize the total real losses in consideration of the technical and topological distribution network constraints. In this paper, a Biogeography Based Optimization (BBO) method based on graphs theory is proposed to search an optimal reconfiguration in presence of a distributed generation unit. The proposed method is tested on different types of IEEE distribution networks (33bus, 69bus, 84bus) and validated on Algerian distribution network (116bus). The proposed method was developed under MATLAB software.

2020 International Conference on Electrical Engineering (ICEE), 2020

To modernize the electrical network, it is important to integrate the Distributed-Generation (DG)... more To modernize the electrical network, it is important to integrate the Distributed-Generation (DG)-based on wind energy sources. Such a source has already become necessary due to the limited availability of fossil fuels and the tendency to use clean energy. This work is focused on the study of the optimal integration of Wind Turbines (WT-DG) which takes into account the system constraints. This is achieved by searching for the optimal sites and sizes of WT-DGs for maximize voltage stability using a Genetic Algorithm (GA). The study is performed on the standard 30-bus modified power network using MATLAB code. The simulated results prove the voltage stability improved and power loss reduced as long as the number of WT-DGs increased in the network.

This paper presents a Genetic Algorithm approach for optimal integration of Wind based on Distrib... more This paper presents a Genetic Algorithm approach for optimal integration of Wind based on Distributed Generation (WDG) in smart grid taking in to count technical and security constraints. The optimal integration that is to say, look for the optimal location and size of the WDG to be integrated into the network. The objective function considered in this study is minimize active power losses. The proposed method is applied on IEEE 14 bus using MATLAB software.

2020 International Conference on Electrical Engineering (ICEE), 2020

This paper presents the problem of integrating Photovoltaic (PV) based on decentralized sources i... more This paper presents the problem of integrating Photovoltaic (PV) based on decentralized sources into distribution power networks. The objective of this study is to search for the optimal site and size of a single PV Distributed Generation (PVDG or PVDS) to improve the voltage profile under technical, physical and operational constraints. The Biogeography-Based optimization (BBO) algorithm is applied to 10, 69, 85 and 118 bus test IEEE distribution networks using the MATLAB platform. The study yielded that voltage profiles of different test networks are significantly improved after optimal PVDG installation using the proposed algorithm.

Artificial Intelligence and Renewables Towards an Energy Transition, 2020

Among the advantages of a smart grid is to optimize the power flow by using distribution-manageme... more Among the advantages of a smart grid is to optimize the power flow by using distribution-management-system (D-M-S) function. Finding of an optimal dynamic configuration is one of the important tasks in D-M-S. The purpose of this paper is to suggest an optimization method based on Genetic Algorithm (GA) to determine the dynamic reconfiguration in one-hour intervals by considering the load variation and generation variation of PV sources in the day. In each hour, the configuration gives minimum active losses under all operating constraints. The GA method is tested on the IEEE 69 bus network and validated on the Algerian network using MATLAB. The proposed method yielded effective results that encourages use it in real time.

Artificial Intelligence and Renewables Towards an Energy Transition, 2020

This paper proposed the Optimal Power Flow (OPF) for power system in presence of DG-unit, conside... more This paper proposed the Optimal Power Flow (OPF) for power system in presence of DG-unit, considering the objective of minimal power losses using genetic algorithm method. This method determines the optimal DG-units location and size in a transmission system. The efficiency of the optimization method discussed in this work has been validated on standard test network IEEE 30_busand Algerian114_bus power system using MATLAB softwer. Keywords– Photovoltaic, distributed generation, location and size, Loss rduction, Transmission system, Optimal power flow, Genetic Algorithm.

International Review of Electrical Engineering-iree, 2013

The present paper describes a multi-objective optimization approach to determine the optimal plac... more The present paper describes a multi-objective optimization approach to determine the optimal placement and sizing of Distributed Generation (DG) units in radial distribution systems. The main objectives are to minimize the active power loss and to enhance the voltage stability. Non-dominated Sorting Genetic Algorithms II (NSGA-II) is used to obtain the set of Pareto optimal solutions, which form a numerous set of non-dominated solutions and will be employed by the Decision Maker (power system operator) to select the best compromise solution. A detailed performance analysis is applied on 12, 33, 69 and 85 bus systems to illustrate the effectiveness of the proposed method.

Renewable Energy for Smart and Sustainable Cities, 2018

The distribution network have a very weakly meshed reconfiguration, with loops between different ... more The distribution network have a very weakly meshed reconfiguration, with loops between different source stations, but the operation is carried out via a tree-based reconfiguration. This reconfiguration is determined by the opening and closing of switches in order to minimize the total power losses taking account the technical, security and topological distribution network constraints. In this paper, a Genetic Algorithm (GA) method based on graphs theory is proposed to design an optimal reconfiguration in presence of a photovoltaic based Distributed Generation source. The proposed method is tested on IEEE distribution network (69 bus) and validated on Algerian distribution network (116 bus). The proposed method was developed under MATLAB software. Certain results are better then others papers viewpoint active losses.

Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities, 2021

2016 8th International Conference on Modelling, Identification and Control (ICMIC), 2016

The integration of shunts capacitor in the distribution system can have significant effects on th... more The integration of shunts capacitor in the distribution system can have significant effects on the behavior of the system. An improper insertion of this equipment can cause negative impacts, the solution of these impacts requires an optimal location of shunt capacitors with adequate power injected. The main objective of this study is to determine the optimal placement and size so that the maximum annual benefit due to peak power and reduce energy loss, compared to the cost of installation be minimal. So it is necessary to use optimization techniques that we used the Particle Swarm Optimization (PSO) algorithm to solve this problem. The technique has been validated and tested on different types of distribution network including three IEEE standard networks (10 bus, 15 bus and 34 bus) and applied on a real network of Algerian distribution system.

Artificial Intelligence in Renewable Energetic Systems, 2018

This paper, a Genetic Algorithm (GA) method based on graphs theory is proposed to determine the d... more This paper, a Genetic Algorithm (GA) method based on graphs theory is proposed to determine the distribution network reconfiguration in presence of wind turbine based DG considering all technical and topological constraints. The objective function considered in this study is the minimization of real power loss. A detailed performance analysis is applied on (33 bus, 69 bus and 84 bus networks) to illustrate the effectiveness of the proposed method. Then this method was validated on Algerian distribution network (116 bus).

Computers, Materials & Continua

2018 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM)

An Optimal Power Flow (OPF) for transmission power system whith presence of photovoltaic based DG... more An Optimal Power Flow (OPF) for transmission power system whith presence of photovoltaic based DG (PV-DG) is proposed by this study. We have minimized power losses using Biogeography-Based Optimization method (BBO) by the objective function. This method has determined the optimal PV-DG size and location in a transmission power system. The BBO method has been examined and tested by the modified IEEE 30_bus, and validated by reduced Algerian power system (114_bus) using MATLAB software.

Renewable Energy - Technologies and Applications

The integration of renewable sources into the power system has now become an unavoidable necessit... more The integration of renewable sources into the power system has now become an unavoidable necessity for these technical and economic advantages and for the protection of the environment. In this chapter, a study is given for the integration of the Distributed Source (DS) in an optimal way and this by looking for the best location (sites) and the best power to be injected (size). The optimization technique used is based on genetic algorithms under technical and safety constraints, with the aim of minimizing active network losses and maximizing voltage stability. These objective functions are handled as a single and multi-objective problem. This study is applied on the standard IEEE 30 bus network under the MATLAB code.

2019 Algerian Large Electrical Network Conference (CAGRE), 2019

The integration of photovoltaic source (PVS), brings new challenges to power system operation. Th... more The integration of photovoltaic source (PVS), brings new challenges to power system operation. This paper proposed the determination of the optimal site and size of PVS in electrical network using differential evolution (DE) method considering technical and security constraints to minimize active loss. The DE technique is applied on Algerian 114 bus power system using MATLAB software.

2018 3rd International Conference on Pattern Analysis and Intelligent Systems (PAIS), 2018

This work presents a multiobjective optimization approach to search the optimal position and size... more This work presents a multiobjective optimization approach to search the optimal position and size of many Wind based on Distributed Generation (WDG) in radial distribution network (DN). The goal are to minimize the active power losses (APL) and to maximize the voltage stability index (VSI). A multiobjective differential evolution with ranking-based mutation operator (MODE-RMO) algorithm is used to obtain the set of optimal Pareto solutions. The technique of fuzzy logic was used in order to chosen the best arrangement solution from the optimal Pareto. The approach is tested on IEEE network (69 bus) and validated on Algerian DN (59 bus).

2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B), 2017

This paper present multi-objective optimization for optimal multi DG location and sizes in radial... more This paper present multi-objective optimization for optimal multi DG location and sizes in radial networks. The objectives fitness considered are minimize active power losses and maximize voltage stability. The hybrid technique based on NSGA-II and Fuzzy logic is used to determine optimal solutions. The proposed technique is tested on diversesizes of IEEE distribution network (10bus, 33bus and 85bus) and validated on Algerian distribution network (116bus).

Journal of Electrical Systems, 2018

The power electrical distribution network have a very weakly meshed reconfiguration, with loops b... more The power electrical distribution network have a very weakly meshed reconfiguration, with loops between different source stations, but the operation is carried out via a tree-based reconfiguration. This reconfiguration is determined by the closing and opening of switches device in objective to optimize the total real losses in consideration of the technical and topological distribution network constraints. In this paper, a Biogeography Based Optimization (BBO) method based on graphs theory is proposed to search an optimal reconfiguration in presence of a distributed generation unit. The proposed method is tested on different types of IEEE distribution networks (33bus, 69bus, 84bus) and validated on Algerian distribution network (116bus). The proposed method was developed under MATLAB software.

2020 International Conference on Electrical Engineering (ICEE), 2020

To modernize the electrical network, it is important to integrate the Distributed-Generation (DG)... more To modernize the electrical network, it is important to integrate the Distributed-Generation (DG)-based on wind energy sources. Such a source has already become necessary due to the limited availability of fossil fuels and the tendency to use clean energy. This work is focused on the study of the optimal integration of Wind Turbines (WT-DG) which takes into account the system constraints. This is achieved by searching for the optimal sites and sizes of WT-DGs for maximize voltage stability using a Genetic Algorithm (GA). The study is performed on the standard 30-bus modified power network using MATLAB code. The simulated results prove the voltage stability improved and power loss reduced as long as the number of WT-DGs increased in the network.

This paper presents a Genetic Algorithm approach for optimal integration of Wind based on Distrib... more This paper presents a Genetic Algorithm approach for optimal integration of Wind based on Distributed Generation (WDG) in smart grid taking in to count technical and security constraints. The optimal integration that is to say, look for the optimal location and size of the WDG to be integrated into the network. The objective function considered in this study is minimize active power losses. The proposed method is applied on IEEE 14 bus using MATLAB software.

2020 International Conference on Electrical Engineering (ICEE), 2020

This paper presents the problem of integrating Photovoltaic (PV) based on decentralized sources i... more This paper presents the problem of integrating Photovoltaic (PV) based on decentralized sources into distribution power networks. The objective of this study is to search for the optimal site and size of a single PV Distributed Generation (PVDG or PVDS) to improve the voltage profile under technical, physical and operational constraints. The Biogeography-Based optimization (BBO) algorithm is applied to 10, 69, 85 and 118 bus test IEEE distribution networks using the MATLAB platform. The study yielded that voltage profiles of different test networks are significantly improved after optimal PVDG installation using the proposed algorithm.

Artificial Intelligence and Renewables Towards an Energy Transition, 2020

Among the advantages of a smart grid is to optimize the power flow by using distribution-manageme... more Among the advantages of a smart grid is to optimize the power flow by using distribution-management-system (D-M-S) function. Finding of an optimal dynamic configuration is one of the important tasks in D-M-S. The purpose of this paper is to suggest an optimization method based on Genetic Algorithm (GA) to determine the dynamic reconfiguration in one-hour intervals by considering the load variation and generation variation of PV sources in the day. In each hour, the configuration gives minimum active losses under all operating constraints. The GA method is tested on the IEEE 69 bus network and validated on the Algerian network using MATLAB. The proposed method yielded effective results that encourages use it in real time.

Artificial Intelligence and Renewables Towards an Energy Transition, 2020

This paper proposed the Optimal Power Flow (OPF) for power system in presence of DG-unit, conside... more This paper proposed the Optimal Power Flow (OPF) for power system in presence of DG-unit, considering the objective of minimal power losses using genetic algorithm method. This method determines the optimal DG-units location and size in a transmission system. The efficiency of the optimization method discussed in this work has been validated on standard test network IEEE 30_busand Algerian114_bus power system using MATLAB softwer. Keywords– Photovoltaic, distributed generation, location and size, Loss rduction, Transmission system, Optimal power flow, Genetic Algorithm.

International Review of Electrical Engineering-iree, 2013

The present paper describes a multi-objective optimization approach to determine the optimal plac... more The present paper describes a multi-objective optimization approach to determine the optimal placement and sizing of Distributed Generation (DG) units in radial distribution systems. The main objectives are to minimize the active power loss and to enhance the voltage stability. Non-dominated Sorting Genetic Algorithms II (NSGA-II) is used to obtain the set of Pareto optimal solutions, which form a numerous set of non-dominated solutions and will be employed by the Decision Maker (power system operator) to select the best compromise solution. A detailed performance analysis is applied on 12, 33, 69 and 85 bus systems to illustrate the effectiveness of the proposed method.

Renewable Energy for Smart and Sustainable Cities, 2018

The distribution network have a very weakly meshed reconfiguration, with loops between different ... more The distribution network have a very weakly meshed reconfiguration, with loops between different source stations, but the operation is carried out via a tree-based reconfiguration. This reconfiguration is determined by the opening and closing of switches in order to minimize the total power losses taking account the technical, security and topological distribution network constraints. In this paper, a Genetic Algorithm (GA) method based on graphs theory is proposed to design an optimal reconfiguration in presence of a photovoltaic based Distributed Generation source. The proposed method is tested on IEEE distribution network (69 bus) and validated on Algerian distribution network (116 bus). The proposed method was developed under MATLAB software. Certain results are better then others papers viewpoint active losses.

Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities, 2021

2016 8th International Conference on Modelling, Identification and Control (ICMIC), 2016

The integration of shunts capacitor in the distribution system can have significant effects on th... more The integration of shunts capacitor in the distribution system can have significant effects on the behavior of the system. An improper insertion of this equipment can cause negative impacts, the solution of these impacts requires an optimal location of shunt capacitors with adequate power injected. The main objective of this study is to determine the optimal placement and size so that the maximum annual benefit due to peak power and reduce energy loss, compared to the cost of installation be minimal. So it is necessary to use optimization techniques that we used the Particle Swarm Optimization (PSO) algorithm to solve this problem. The technique has been validated and tested on different types of distribution network including three IEEE standard networks (10 bus, 15 bus and 34 bus) and applied on a real network of Algerian distribution system.

Artificial Intelligence in Renewable Energetic Systems, 2018

This paper, a Genetic Algorithm (GA) method based on graphs theory is proposed to determine the d... more This paper, a Genetic Algorithm (GA) method based on graphs theory is proposed to determine the distribution network reconfiguration in presence of wind turbine based DG considering all technical and topological constraints. The objective function considered in this study is the minimization of real power loss. A detailed performance analysis is applied on (33 bus, 69 bus and 84 bus networks) to illustrate the effectiveness of the proposed method. Then this method was validated on Algerian distribution network (116 bus).