Collaborative Optimal Scheduling Strategy of New Energy Microgrid Considering Flexible Load Regulation

Through the participation of flexible and flexible resources in scheduling, the full consumption of new energy and the economic and stable operation of microgrid system can be fully guaranteed. Therefore, this paper proposes a collaborative optimization scheduling strategy of new energy microgrid considering load flexible adjustment. Firstly, by constructing a flexible load response model, a regulation strategy is proposed to preferentially move the peak period of flexible load to the peak period of new energy output. Secondly, combined with the regulation characteristics of flexible load, an optimal scheduling model with the goal of maximizing the annual comprehensive profit of microgrid system is constructed. Then, aiming at the problem of high difficulty in solving the optimal scheduling model, an improved particle swarm optimization algorithm combining Tent chaos and spiral search is proposed to optimize the solution. Finally, IEEE39 is used for simulation verification, which verifies that the proposed method can effectively reduce costs and improve the absorptive capacity of new energy.