Multi-objective Day-ahead Optimal Scheduling of Wind-solar-storage Microgrids Considering V2G and P2G Techniques

Aiming at the energy crisis and environmental pollution problems, this paper proposes a multi-objective day-ahead optimal scheduling model for wind-solar-storage microgrids integrating V2G and P2G technologies. The model aims to achieve both economic and environmental objectives of the microgrid by integrating the modelling of devices such as wind, photovoltaic, micro gas turbine, P2G devices and PV loads. An improved multi-objective grey wolf algorithm is used in the study, and the results of the arithmetic analysis demonstrate the effectiveness of the scheduling strategy in both the economic and environmental optimal cases.