Power Loss Minimization for Distribution Networks with Load Tap Changing Using Genetic Algorithm and Environmental Impact Analysis

This paper presents an investigation of the IEEE 34 bus test system benefits with deployment of distribution static compensator (DSTATCOM) and distributed generation (DG) in the aspect of power loss minimization, bus voltage stability and greenhouse gas emission mitigation. Power loss minimization i...

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Autores principales:	Talha Enes Gümüş*, Ceyda Aksoy Tirmikçi, Cenk Yavuz, Mehmet Ali Yalçin, Mustafa Turan
Formato:	article
Lenguaje:	EN
Publicado:	Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2021
Materias:	bus voltage stability distributed generation distribution static compensator emission mitigation Genetic Algorithm Load tap changing Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/3db0a40f86aa4150a9ca956c381e83cb
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spelling	oai:doaj.org-article:3db0a40f86aa4150a9ca956c381e83cb2021-11-07T00:35:06ZPower Loss Minimization for Distribution Networks with Load Tap Changing Using Genetic Algorithm and Environmental Impact Analysis1330-36511848-6339https://doaj.org/article/3db0a40f86aa4150a9ca956c381e83cb2021-01-01T00:00:00Zhttps://hrcak.srce.hr/file/383557https://doaj.org/toc/1330-3651https://doaj.org/toc/1848-6339This paper presents an investigation of the IEEE 34 bus test system benefits with deployment of distribution static compensator (DSTATCOM) and distributed generation (DG) in the aspect of power loss minimization, bus voltage stability and greenhouse gas emission mitigation. Power loss minimization is carried out by adjusting tap changer positions of the load tap changing transformer with one of the well-known metaheuristic algorithms, Genetic Algorithm (GA). To check the voltage stability of the system after minimization, bus voltage profile index is developed. Similarly, environmental profile is evaluated by three different indices. The behaviour of the system is analysed for four different cases as follows. In Case 1, voltage and reactive power control is provided by capacitor banks. In Case 2, capacitor banks are replaced with DSTATCOM. In Case 3 and Case 4, Case 1 and Case 2 are reinvestigated in the presence of additional DG. All cases are evaluated with both traditional Newton- Raphson optimization algorithm and evolutionary-based GA optimization algorithm. The results indicate that GA optimization provides more energy savings than traditional optimization in all cases with bus voltage index within the allowed range. Besides voltage profile of the system in all cases with two algorithms supports the fact that evolutionary-based metaheuristics offer the best choices for a non-linear optimization problem in comparison with the traditional optimization methods. The overall results reveal that Case 4, test system with DSTATCOM and DG, is the best case which provides minimum power losses and a significant amount of emission savings with greenhouse payback time (GPBT) of 0.458 years.Talha Enes Gümüş*Ceyda Aksoy TirmikçiCenk YavuzMehmet Ali YalçinMustafa TuranFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek articlebus voltage stabilitydistributed generationdistribution static compensatoremission mitigationGenetic AlgorithmLoad tap changingEngineering (General). Civil engineering (General)TA1-2040ENTehnički Vjesnik, Vol 28, Iss 6, Pp 1927-1935 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	bus voltage stability distributed generation distribution static compensator emission mitigation Genetic Algorithm Load tap changing Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	bus voltage stability distributed generation distribution static compensator emission mitigation Genetic Algorithm Load tap changing Engineering (General). Civil engineering (General) TA1-2040 Talha Enes Gümüş* Ceyda Aksoy Tirmikçi Cenk Yavuz Mehmet Ali Yalçin Mustafa Turan Power Loss Minimization for Distribution Networks with Load Tap Changing Using Genetic Algorithm and Environmental Impact Analysis
description	This paper presents an investigation of the IEEE 34 bus test system benefits with deployment of distribution static compensator (DSTATCOM) and distributed generation (DG) in the aspect of power loss minimization, bus voltage stability and greenhouse gas emission mitigation. Power loss minimization is carried out by adjusting tap changer positions of the load tap changing transformer with one of the well-known metaheuristic algorithms, Genetic Algorithm (GA). To check the voltage stability of the system after minimization, bus voltage profile index is developed. Similarly, environmental profile is evaluated by three different indices. The behaviour of the system is analysed for four different cases as follows. In Case 1, voltage and reactive power control is provided by capacitor banks. In Case 2, capacitor banks are replaced with DSTATCOM. In Case 3 and Case 4, Case 1 and Case 2 are reinvestigated in the presence of additional DG. All cases are evaluated with both traditional Newton- Raphson optimization algorithm and evolutionary-based GA optimization algorithm. The results indicate that GA optimization provides more energy savings than traditional optimization in all cases with bus voltage index within the allowed range. Besides voltage profile of the system in all cases with two algorithms supports the fact that evolutionary-based metaheuristics offer the best choices for a non-linear optimization problem in comparison with the traditional optimization methods. The overall results reveal that Case 4, test system with DSTATCOM and DG, is the best case which provides minimum power losses and a significant amount of emission savings with greenhouse payback time (GPBT) of 0.458 years.
format	article
author	Talha Enes Gümüş* Ceyda Aksoy Tirmikçi Cenk Yavuz Mehmet Ali Yalçin Mustafa Turan
author_facet	Talha Enes Gümüş* Ceyda Aksoy Tirmikçi Cenk Yavuz Mehmet Ali Yalçin Mustafa Turan
author_sort	Talha Enes Gümüş*
title	Power Loss Minimization for Distribution Networks with Load Tap Changing Using Genetic Algorithm and Environmental Impact Analysis
title_short	Power Loss Minimization for Distribution Networks with Load Tap Changing Using Genetic Algorithm and Environmental Impact Analysis
title_full	Power Loss Minimization for Distribution Networks with Load Tap Changing Using Genetic Algorithm and Environmental Impact Analysis
title_fullStr	Power Loss Minimization for Distribution Networks with Load Tap Changing Using Genetic Algorithm and Environmental Impact Analysis
title_full_unstemmed	Power Loss Minimization for Distribution Networks with Load Tap Changing Using Genetic Algorithm and Environmental Impact Analysis
title_sort	power loss minimization for distribution networks with load tap changing using genetic algorithm and environmental impact analysis
publisher	Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
publishDate	2021
url	https://doaj.org/article/3db0a40f86aa4150a9ca956c381e83cb
work_keys_str_mv	AT talhaenesgumus powerlossminimizationfordistributionnetworkswithloadtapchangingusinggeneticalgorithmandenvironmentalimpactanalysis AT ceydaaksoytirmikci powerlossminimizationfordistributionnetworkswithloadtapchangingusinggeneticalgorithmandenvironmentalimpactanalysis AT cenkyavuz powerlossminimizationfordistributionnetworkswithloadtapchangingusinggeneticalgorithmandenvironmentalimpactanalysis AT mehmetaliyalcin powerlossminimizationfordistributionnetworkswithloadtapchangingusinggeneticalgorithmandenvironmentalimpactanalysis AT mustafaturan powerlossminimizationfordistributionnetworkswithloadtapchangingusinggeneticalgorithmandenvironmentalimpactanalysis
_version_	1718443604536459264

Power Loss Minimization for Distribution Networks with Load Tap Changing Using Genetic Algorithm and Environmental Impact Analysis

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