MULTI-OBJECTIVE OPTIMAL SCHEDULING OF MICROGRID CONSIDERING DISTRIBUTED GENERATION UNCERTAINTY

• DOI: 10.1049/icp.2021.2237
• Publication Date: 2021-12-15T20:07:27Z
• Authors: S. Li; L. Shi; Z. Yao
• Keywords: Microgrid; Demand Response

With the continuous increase of distributed wind power/photovoltaic (PV) grid-connected capacity, uncertainties and PV power outputs have brought new problems severe challenges to day-ahead optimal scheduling microgrids. Based on forecasting error information wind/PV output peak-valley time-of-use electricity price mechanism, from perspective meeting load demand microgrid, this paper proposes a dual-objective optimization model that minimizes operation cost microgrid maximizes accommodation rate subject series system constraints. The established comprehensively takes maintenance costs turbine PV, battery charging discharging, energy exchange with main grid into account. proposed is solved by multi-objective feasibility enhanced particle swarm algorithm realize generation, interaction energy, all-day management scheme storage system. Finally, numerical simulations are performed test verify effectiveness strategy.