A Probabilistic Multi-Objective Approach for Power Flow Optimization in Hybrid Wind-Based Power Systems Using Grasshopper Optimization Algorithm
| Autor: | Barun Mandal, Provas Kumar Roy |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Mathematical optimization
Optimization algorithm Computer science 020209 energy 020208 electrical & electronic engineering Probabilistic logic 02 engineering and technology Computer Science Applications Electric power system Power flow Computational Theory and Mathematics Artificial Intelligence Objective approach 0202 electrical engineering electronic engineering information engineering |
| Zdroj: | International Journal of Swarm Intelligence Research. 11:61-86 |
| ISSN: | 1947-9271 1947-9263 |
| DOI: | 10.4018/ijsir.2020100103 |
| Popis: | This article introduces a grasshopper optimization algorithm (GOA) to efficiently prove its superiority for solving different objectives of optimal power flow (OPF) based on a mixture thermal power plant that incorporates uncertain wind energy (WE) sources. Many practical constraints of generators, valve point effect, multiple fuels, and the various scenarios incorporating several configurations of WEs are considered for both singles along with multi-objectives for the OPF issue. Within the article, the considered method is verified on two common bus experiment systems, i.e. IEEE 30-bus as well as the IEEE 57-bus. Here, the fuel amount minimization and emission minimization are studied as the primary purposes of a GOA-based OPF problem. However, the proposed algorithm yields a reasonable conclusion about the better performance of the wind turbine. Computational results express the effectiveness of the proposed GOA approach for the secure and financially viable of the power system under various uncertainties. The comparison is tabulated with the existing algorithms to provide superior results. |
| Databáze: | OpenAIRE |
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