基于广义斯塔克尔伯格博弈的微电网能源管理

In order to realize the optimal energy management of microgrid and maximize social benefit of single microgrid and multiple consumers, a generalized Stackelberg game model between a microgrid and multiple consumers is built based on noncooperative game theory, in which, the microgrid, as the leader, takes the maximum revenue as the objective to optimize the electricity price and guide the consumers to adjust their power consumption strategies, while the consumers, as the followers, takes their respective maximum utility functions as the objective to decide power consumption strategies under the given price and influence the electricity price setting. The generalized Nash equilibrium problem is converted into variational inequality, which is solved by the projection algorithm with constant step and the best response algorithm. The effectiveness of the proposed model is verified by a practical example of a community microgrid.Optimal control strategy of source-load coordinated frequency regulation in microgrid considering ancillary serviceLOU　Peijie¹, BIAN　Xiaoyan¹, CUI　Yong², WANG　Xiaoyu¹, LIN　Shunfu¹, ZHAO　Yao¹(1. College of Electric Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China;2. State Grid Shanghai Municipal Electric Power Company, Shanghai 200122, China)In a renewable-dominated microgrid, the shortage of frequency regulation resources and the low willingness of power sources and loads to participate in frequency regulation negatively impact the power system frequency stability. An optimal control strategy of source-load coordinated frequency regulation in microgrid is proposed, in which the optimal comprehensive economic benefits are considered, and wind turbines and controllable loads are motivated to provide frequency regulation ancillary services by the ancillary service mechanism. Additionally, the benefits and costs are calculated according to the ancillary service provided by frequency regulation of DFIG(Doubly-Fed Induction Generator), primary frequency regulation of controllable load and inertia frequency regulation and primary frequency regulation of diesel engine. The present work comprehensively considers economic benefits and frequency regulation effects of microgrid, the parameters of load shedding rate, virtual inertia, droop control of DFIG, and control parameters of controllable load are optimized by DBN(Deep Belief Network). Hence, the proposed model achieves coordinated frequency regulation of DFIG, controllable load and diesel engine between multiple time scales. The effectiveness of the proposed strategy is verified by an isolated microgrid model with high penetration of renewable energy. Simulative results demonstrate that this strategy provides economic operating decisions and positively improves the frequency regulation ability, and the potential capability of source-load coordination to provide ancillary services for frequency regulation is exploited.