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Bi-objective optimal active and reactive power flow management in grid-connected AC/DC hybrid microgrids using metaheuristic-PSO

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Clean Energy 2023年第6期7卷 1356-1380页

作者： ssadik charadi Houssam Eddine Chakir Abdelbari Redouane Abdennebi El Hasnaoui Mehdi Et-taoussi Electronics Power and Control Team Mohammadia School of Engineers(EMI)Mohammed V UniversityRabatMorocco SMARTiLab Moroccan School of Engineering Sciences(EMSI)RabatMorocco EEIS-Lab ENSET MohammediaHassan II UniversityCasablancaMorocco Ecole des mines de Rabat(ENSMR) RabatMorocco

In the context of evolving energy needs and environmental concerns,efficient management of distributed energy resources within microgrids has gained *** paper addresses the optimization of power flow management in a hybrid AC/DC microgrid through an energy management system driven by particle swarm *** traditional approaches that focus solely on active power distribution,our energy management system optimizes both active and reactive power allocation among *** leveraging 24-hour-ahead forecasting data encompassing load predictions,tariff rates and weather conditions,our strategy ensures an economically and environmentally optimized microgrid *** proposed energy management system has dual objectives:minimizing costs and reducing greenhouse gas *** optimized operation of polluting sources and efficient utilization of the energy storage system,our approach achieved significant cost savings of~15%compared with the genetic algorithm *** was largely attributed to the streamlined operation of the gas turbine system,which reduced fuel consumption and associated ***,particle swarm optimization maintained the efficiency of the gas turbine by operating at~80%of its nominal power,effectively lowering greenhouse gas *** effectiveness of our proposed strategy is validated through simu-lations conducted using the MATLAB®software environment.

关键词： distributed energy resources hybrid AC/DC microgrids particle swarm optimization renewable energy cost reduction

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