Capacity Release by Shunt Capacitor Placement on Distribution Feeders: A New Voltage-Dependent Model

Grainger, J. J.; Lee, S. H.

doi:10.1109/tpas.1982.317385

Cited by 154 publications

(59 citation statements)

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“…Most of the consumption loads in distribution net-works are single phase domestic loads which are unbalanced. Therefore, it is useful to investigate the capacitor placement for unbalanced distribution networks [1][2][3]. However, it has not been regarded in most of the previous works [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18].…”

Section: Iintroductionmentioning

confidence: 99%

“…These problems include: a) non-clarity of the behavior of feeders' loads, particularly domestic loads, b) complexity of distribution net-works, c) uncertainty of electric distribution companies in returning the initial capital expenditure used for capaci-tor placement and d) variety of the type of network loads. With due regard to these difficulties, in many researches made so far, some assumptions in capacitor placements have been considered to solve the problem in a more simple method [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18], which have not been appealing to distribution companies, so that the losses are still high in the network. Most of the consumption loads in distribution net-works are single phase domestic loads which are unbalanced.…”

Section: Iintroductionmentioning

confidence: 99%

“…On the other hand, in the methods presented in [6][7][8][9][10][11][12][13][14][15]17] the loss reduction has been accomplished only by using the fixed capacitors. Moreover, in many previous methods, the medium voltage capacitors which are more expensive than low voltage ones are used [2,3,[5][6][7][8][9][10][11][12][13][14][15][16][17][18].One of the important issues in the placement of capacitors is considering the load variations of the network. In some methods of load variation has been considered at several different levels, and in some other methods [1,[6][7][8][9][10][11][12][13][14]18], it has not been considered at all, and the load has been presented in a fixed form.…”

Section: Iintroductionmentioning

confidence: 99%

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Voltage Profile Improvement by Capacitor Placement and Control in Unbalanced Distribution Systems Using Differential Evolution Algorithm

Sekhar¹,

Harika²

2014

IJAREEIE

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ABSTRACT:One of the most important methods in loss reduction and controlling the voltages of distribution systems is the utilization of the fixed and switched capacitors. To do this, real modelling of the system in actual operational conditions including unbalanced or balanced loading and for actual feeder structure, ie, radial/meshed configuration, are required. In this paper, a new technique for finding the optimal values of the fixed and switched capacitors in the distribution networks with above properties based on the differential evolution algorithm is presented. For this purpose, the modelling of the loads at different load levels are simulated with low voltage and medium voltage capacitors that are available on the market. Regarding the above factors in addition to the various parameters in the optimization problem, DE Algorithm is used to find the best and real optimal network with the best rate for the capacitors.KEYWORDS: unbalanced distribution networks, ,DE Algorithm, capacitor placement, fuzzy expert system. I.INTRODUCTIONOne of the most effective and useful methods in re-ducing the power losses of distribution networks is uti-lization of optimal capacitor placement. By using shunt capacitors, the reactive power needed for loads is pro-vided so that besides the reduction of losses the voltage profile of nodes is also improved. There are, of course, nu-merous difficulties in optimal placement of capacitors in the purpose of reducing losses. These problems include: a) non-clarity of the behavior of feeders' loads, particularly domestic loads, b) complexity of distribution net-works, c) uncertainty of electric distribution companies in returning the initial capital expenditure used for capaci-tor placement and d) variety of the type of network loads. With due regard to these difficulties, in many researches made so far, some assumptions in capacitor placements have been considered to solve the problem in a more simple method [1-18], which have not been appealing to distribution companies, so that the losses are still high in the network. Most of the consumption loads in distribution net-works are single phase domestic loads which are unbalanced. Therefore, it is useful to investigate the capacitor placement for unbalanced distribution networks [1][2][3]. However, it has not been regarded in most of the previous works [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]. On the other hand, in the methods presented in [6][7][8][9][10][11][12][13][14][15]17] the loss reduction has been accomplished only by using the fixed capacitors. Moreover, in many previous methods, the medium voltage capacitors which are more expensive than low voltage ones are used [2,3,[5][6][7][8][9][10][11][12][13][14][15][16][17][18].One of the important issues in the placement of capacitors is considering the load variations of the network. In some methods of load variation has been considered at several different levels, and in some other methods [1,[6][7][8][9][10][11][12][13][14]18], it has not been considered at all, and ...

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Section: Iintroductionmentioning

confidence: 99%

Section: Iintroductionmentioning

confidence: 99%

Section: Iintroductionmentioning

confidence: 99%

See 1 more Smart Citation

Voltage Profile Improvement by Capacitor Placement and Control in Unbalanced Distribution Systems Using Differential Evolution Algorithm

Sekhar¹,

Harika²

2014

IJAREEIE

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“…Para os testes foram utilizados dados de dois sistemas elétricos de distribuição diferentes, um composto por 11 barras e outro composto por 16 barras, ambos retirados da literatura (GRAINGER;LEE, 1982;SARAIVA, 2012;CIVANLAR et al, 1988). Nos testes, assume-se que cada subestação tem um SuA alocado, assim como em cada carga há um LoA e em cada trechos da rede existe um SwA.…”

Section: Demanda Estáticaunclassified

“…A Figura 40 apresenta a topologia do sistema de 11 barras, baseada em (GRAINGER; LEE, 1982;SARAIVA, 2012) e os dispositivos alocados. A Tabela 15 apresenta as potên-cias ativas e reativas nas cargas, enquanto a Tabela 16 apresenta a resistência e reatância dos alimentadores quando as respectivas chaves estão fechadas.…”

Section: Testes No Sistema De 11 Barrasunclassified

Aplicações híbridas entre sistemas multiagentes e técnicas de inteligência artificial para redes inteligentes de distribuição de energia elétrica

Saraiva¹

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AgradecimentosEsta tese é resultado de muito trabalho e esforço empreendido para desenvolver algo em uma área diferente da qual me formei, mas que acabou por apresentar-se como um importante campo para estudos e aplicações dos mais diferentes conceitos da computação. Para além desse esforço empregado durante a realização, este trabalho também representa uma série de vivências e parcerias que, direta ou indiretamente, influenciaram durante diferentes fases desta pesquisa. Portanto, sou bastante grato às seguintes pessoas e instituições que tiveram, à sua maneira, participação nesta trajetória:J À FAPESP, financiadora desta pesquisa, que proveu o suporte necessário para que eu me dedicasse a este trabalho. A agência patrocinou-me em dois projetos: a bolsa de doutorado regular (processo 2011/22411-7), realizado na USP -Universidade de São Paulo, São Carlos -Brasil, vinculada ao projeto de pesquisa temático "Desenvolvimentos Tecnológicos para a Proteção, Análise, Supervisão e Automação dos Sistemas Elétricos do Futuro" (processo 2010/01690-2) sob coordenação do Dr. Denis Vinicius Coury, e a bolsa de estágio em pesquisa no exterior (processo 2014/23935-8), realizado na KTH -Royal Institute of Technology, Estocolmo -Suécia.J Ao meu orientador, Prof. Dr. Eduardo Asada, pela confiança de que conseguiríamos criar algo original, instigante e interessante. Por ter acreditado em meu potencial desde o início e estar sempre disposto a me recomendar conselhos e sugestões, a cada passo da pesquisa e a cada resultado obtido. Agradeço também pelas longas conversas que invariavelmente enveredavam por temas para além do trabalho.J Ao meu orientador durante o período de estágio em pesquisa no exterior, Prof. Dr.Lars Nordström, por ter se mostrado receptivo desde o primeiro contato quando pedi admissão ao laboratório liderado por ele, PSMIX -Power System Management with related Information Exchange. Também agradeço pela orientação e paciência dispendida durante o estágio. Essa temporada foi de fundamental importância para parte do trabalho aqui apresentado, a saber, as simulações utilizando a plataforma Raspberry Pi.J Gostaria de estender meus agradecimentos a Mikel Armendariz, Daniel Brodén, Mehrdad Kazemtabrizi, Muhammad Hassan Fidai, Davood Babazadeh e Nicholas Honeth, integrantes do laboratório PSMIX, por me auxiliarem com os contatos e trabalhos realizados na KTH e também com o "nordic way of life". J Aos professores que estiveram no exame de qualificação desta pesquisa, e com suas contribuições tornaram a qualidade do texto agora apresentado melhor, mais completo e didático, sem desleixar do rigor que espera-se presente em uma tese. Obrigado aos professores Dr. José Carlos de Melo Vieira Júnior e Dr. Rafael Heitor Bordini.J Aos funcionários e professores do departamento, sempre muito atenciosos. Gostaria de externar meus agradecimentos, em especial, à Marisa Fortulan e Jussara Zoia, por toda a dedicação e ajuda com a burocracia universitária, e aos professores Dr. Eduardo Asada, Dr. Ivan Nunes da Silva e Dr. José Carlos de Melo...

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Congestion management of integrated transmission and distribution network with RES and ESS under stressed condition

Prajapati

Mahajan

Padhy

2021

Int Trans Electr Energ Syst

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Summary In this article, the multi‐objective optimization‐based congestion management approach for integrated transmission and distribution system under stressed condition is presented. The congestion is managed by optimized charging and discharging of energy storage systems (ESSs). The coordination among transmission system operator (TSO) and distribution system operator (DSO) takes place for the economic and optimum exchange of power. The main intent of this study is to minimize the amount of load shedding (MW) and its cost ($/MWh) by minimizing the generation cost ($/MWh). These are conflicting objectives as for less load shedding, the system has to have more generation and hence higher cost. The negotiable solution among conflicting objectives is obtained by using the fuzzy min‐max approach. The ESS charging and discharging are optimized for their maximum contribution. This increases the available power (MW), thereby reducing the uncertainty of renewable energy sources and hence lesser load shedding. The analysis is conducted for constant load modeling (CLM) and voltage‐dependent load modeling. The results show that CLM has less load shedding. The proposed approach is implemented on a modified IEEE‐30‐bus test system integrated with the nine‐bus distribution network. Simulations and validations are done using General Algebraic Modeling Solver.

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Capacity Release by Shunt Capacitor Placement on Distribution Feeders: A New Voltage-Dependent Model

Cited by 154 publications

References 1 publication

Voltage Profile Improvement by Capacitor Placement and Control in Unbalanced Distribution Systems Using Differential Evolution Algorithm

Voltage Profile Improvement by Capacitor Placement and Control in Unbalanced Distribution Systems Using Differential Evolution Algorithm

Aplicações híbridas entre sistemas multiagentes e técnicas de inteligência artificial para redes inteligentes de distribuição de energia elétrica

Congestion management of integrated transmission and distribution network with RES and ESS under stressed condition

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