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A Sensitivity Analysis of PSO Parameters Solving the P2P Electricity Market Problem

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Resumo:Energy community markets have emerged to promote prosumers' active participation and empowerment in the electrical power system. These initiatives allow prosumers to transact electricity locally without an intermediary such as an aggregator. However, it is necessary to implement optimization methods that determine the best transactions within the energy community, obtaining the best solution under these models. Particle Swarm Optimization (PSO) fits this type of problem well because it allows reaching results in short optimization times. Furthermore, applying this metaheuristic to the problem is easy compared to other available optimization tools. In this work, we provide a sensitivity analysis of the impact of different parameters of PSO in solving an energy community market problem. As a result, the combination of parameters that lead to the best results is obtained, demonstrating the effectiveness of PSO solving different case studies.
Autores principais:Vieira, Miguel
Outros Autores:Faia, Ricardo; Lezama, Fernando; Canizes, Bruno; Vale, Zita
Assunto:Local electricity markets Particle Swarm Optimization Peer-to-Peer transactions Sensitivity analysis Swarm intelligence
Ano:2022
País:Portugal
Tipo de documento:documento de conferência
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico do Porto
Idioma:inglês
Origem:Repositório Científico do Instituto Politécnico do Porto

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