Distributed tabu search algorithm for solving the economic dispatch problem

Khamsawang, S.; Pothiya, S.; Boonseng, C.

doi:10.1109/tencon.2004.1414813

Cited by 12 publications

(6 citation statements)

References 7 publications

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“…Para este caso, os algoritmos propostos (ED AP e ED P M ), obtiveram os melhores valores para os três indicadores de custo: mínimo (24164,05), médio (24164,05) e máximo (24164,05) com desvio padrão nulo (0,00), indicando que todas as execuções conseguiram atingir o valor mínimo conhecido. Destaca-se que dentre os algoritmos da literatura apenas o SDE consegue achar o valor mínimo, ou seja, considerando todos os [Khamsawang et al 2004] 24169,95 ---DE [Noman and Iba 2008] 24169,91 24169,91 24169,91 -SSA [Yu and Li 2015] 24169,91 24169,91 24169,91 -DPO [Han et al 2015] 24169.90 24169.90 24169.90 -HCRO-DE [Roy et al 2014] 24164,82 24164,98 24165,34 0.06 TLBO [Banerjee et al 2015] 24197,00 ---ORCSA [Nguyen and Vo 2015] 24169 O segundo estudo de caso considera o mesmo conjunto de 13 geradores do estudo de caso anterior, mas com demanda de 1800 MW [Coelho and Mariani 2006]. Este problema do despacho econômico de energia possui vários mínimos locais e seu mínimo globalé difícil de ser determinado [Coelho et al 2009].…”

Section: Resultados Para O Primeiro Estudo De Caso -Caso 13 Geradoresunclassified

Seleção Adaptativa de Operadores Aplicada ao Problema do Despacho Econômico de Energia Elétrica

Gonçalves¹,

Almeida²,

Venske³

et al. 2016

Anais Do XLIII Seminário Integrado De Software E Hardware (SEMISH 2016)

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O Despacho Econômico de Energia Elétrica é um dos mais importantes problemas na área de geração e distribuição de energia elétrica. A Evolução Diferencial é um algoritmo evolutivo eficiente para otimização contínua. Diferentes operadores da Evolução Diferencial são adequados para a resolução de problemas com características diferentes, contudo a escolha do operador mais adequado é uma tarefa complexa. Neste trabalho são investigadas duas técnicas de seleção adaptativa de operadores (Adaptive Pursuit e Probability Matching) para escolher em tempo de execução qual o operador mais eficiente para a resolução do Despacho Econômico de Energia Elétrica. Os algoritmos propostos são validados em problemas de teste que consideram 13 e 40 geradores térmicos e levam em consideração efeitos de ponto de válvula. Os métodos propostos superam os resultados reportados na literatura obtidos por metaheurísticas modernas, sendo capazes de encontrar o melhor valor de custo mínimo conhecido para todos os sistemas de teste considerados.

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Section: Resultados Para O Primeiro Estudo De Caso -Caso 13 Geradoresunclassified

Seleção Adaptativa de Operadores Aplicada ao Problema do Despacho Econômico de Energia Elétrica

Gonçalves¹,

Almeida²,

Venske³

et al. 2016

Anais Do XLIII Seminário Integrado De Software E Hardware (SEMISH 2016)

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“…A distributed TS algorithm is developed in [24] in order to solve the economic dispatch problem for thermal plants.…”

Section: B Economic Dispatchmentioning

confidence: 99%

High performance computing for electric power systems: Applications and trends

Green

Wang

Alam

2011

2011 IEEE Power and Energy Society General Meeting

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The last significant works that made an effort to review and summarize the relationship between High Performance Computing (HPC) and Power Systems Analysis were published in the mid 1990's. Since that time significant changes have occurred in both fields. HPC has seen the maturation of cluster computing, the advent of multicore, the creation of Grid Computing, the rise of the GPU for general purpose computing and the gradual ending of Moore's law. Power systems have also changed and matured at a rapid pace through deregulation, the integration of renewable energy, the integration of distributed energy production and storage, concerns regarding climate change, and recent discussions concerning the smart grid. Considering the vast amount of change that has occurred in both industries, this work reviews ways in which HPC has been used in the field of power systems over the last 15 years while also identifying some emerging trends and suggesting possible future applications.

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“…Khamsawang and Pothiya have suggested a novel method on simple Tabu search algorithm (TSA) to solve economic dispatch (ED) problem for thermal power plants, which we call Distributed Tabu Search algorithm (DTSA) [5]. It consists of thirteen generating units with valve point effect fuel functions.…”

Section: Kmanikandanmentioning

confidence: 99%

Economic Thermal Power Dispatch with Emission Constraint and Valve Point Effect Loading Using Improved Tabu Search Algorithm

Senthil¹,

Manikandan²

2010

IJCA

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Economic load dispatch (ELD) is an important optimization task in power system. It is the process of allocating generation among the committed units such that the constraints imposed are satisfied and the energy requirements are minimized. There are three criteria in solving the economic load dispatch problem. They are minimizing the total generator operating cost, total emission cost and scheduling the generator units. Each of the above criteria is used with the following constraints such as power balance constraints, generator limit constraints, valve point coefficients and emission constraints. In this paper the Improved Tabu Search (ITS) solution to economic dispatch problem is very useful when addressing heavily constrained optimization problem in terms of solution accuracy. Results obtained from this technique clearly demonstrate that the algorithm is more efficient in terms of number of evolution to reach the global optimum point. The result also shows that the solution method is practical and valid for real time applications. In this paper an Improved Tabu Search (ITS) algorithm solves economic load dispatch (ELD) power system problem of three generator system, six generator system with emission constraints and thirteen generator system with valve point effect loading.. The Improved Tabu Search (ITS) algorithm was used to check the validity, quality of the solution and the results are tabulated. The validity and quality of the solution obtained using proposed Improved Tabu Search (ITS) based economic load dispatch method are checked and compared with

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Distributed tabu search algorithm for solving the economic dispatch problem

Cited by 12 publications

References 7 publications

Seleção Adaptativa de Operadores Aplicada ao Problema do Despacho Econômico de Energia Elétrica

Seleção Adaptativa de Operadores Aplicada ao Problema do Despacho Econômico de Energia Elétrica

High performance computing for electric power systems: Applications and trends

Economic Thermal Power Dispatch with Emission Constraint and Valve Point Effect Loading Using Improved Tabu Search Algorithm

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