Bi-level Optimal Operation Strategy of Energy Storage with Large-scale New Energy System under the Participation of Virtual Power Plant

In response to the flexible operation scheduling of the energy storage of large-scale new energy system, a bi-level optimal model with the participation of virtual power plant (VPP) is proposed. Weibull, Beta and Gumble distribution are used to describe the uncertainty of wind, PV and hydropower, and the overestimation and underestimation cost of new energy output are considered. Introducing VPP to improve the flexibility, the model takes VPP as an independent market subject to participate in scheduling, and solves the problem alternately between the two levels to achieve collaborative optimization. According to the characteristics of mixed integer, nonconvex, nonlinear and multi-objective, a novel multi group pseudo parallel multi-objective algorithm is proposed to solve the problem. The modified IEEE39 bus system is used as an example to verify the model, it can balance the market entities at all levels, ensure the safe operation of the system and maximize the operating profit, and effectively realize the sustainable development of the power system. The effectiveness and competitiveness of the algorithm are verified simultaneously.