考虑源荷不确定的多园区微网与共享储能电站协同优化运行

共享储能作为一种新兴能源存储技术正在迅速发展。为提高含共享储能电力系统的经济性，提出一种基于源荷不确定性的两阶段鲁棒多园区微网与共享储能合作博弈模型。首先，建立共享储能主体和各园区微网主体间的电能交易优化运行模型。其次，考虑可再生能源及负荷的不确定性，建立园区微网的两阶段鲁棒调度模型。然后，基于纳什谈判理论建立多园区微网-共享储能多主体合作运行模型，并将其等效为合作成本最小化子问题与电能谈判支付子问题。为了保护各主体隐私，运用交替方向乘子法对上述两个子问题进行分布式求解。最后,通过算例验证所提合作运行模型以及分布式算法的有效性。仿真结果表明共享储能与各园区微网协同优化运行能够减少各主体的运行成本。

Collaborative optimization operation of multi park microgrids and shared energy storage power stations considering source load uncertainty

Shared energy storage, as an emerging energy storage technology, is rapidly developing. To improve the economy of power systems with shared energy storage, a two-stage robust multi park microgrid and shared energy storage cooperative game model based on source load uncertainty is proposed. First, an optimized operation model is established for electricity trading between shared energy storage entities and microgrid entities in each park. Second, considering the uncertainty of renewable energy and load, a two-stage robust scheduling model for the park microgrid is established. Then, based on Nash negotiation theory, a multi park microgrid shared energy storage multi-entity cooperative operation model is established, and it is equivalent to the cooperation cost minimization subproblem and the electricity negotiation payment subproblem. In order to protect the privacy of each entity, the alternating direction multiplier method is used to solve the above two subproblems in a distributed manner. Finally, the effectiveness of the proposed cooperative operation model and distributed algorithm is verified through numerical examples. The simulation results indicate that the collaborative optimization of shared energy storage and microgrids in various parks can reduce the operating costs of various entities.