1.Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology (Northeast Electric Power University), Ministry of Education, Jilin 132012, China;2.State Grid Jilin Power Supply Company, Jilin 132012, China
In view of the high degree of autonomy of the microgrid and the uncertainty of renewable energy output, this paper proposes a two-stage day-ahead optimal scheduling framework of coordination of supply and demand from the perspective of a grid-connected microgrid operator. First of all, a bi-level optimization model of supply and demand collaborative scheduling is established based on the master-slave Stackelberg game. The upper operator’s problem includes two stages: day-ahead scheduling and real-time control. In the real-time control stage, the worst-case conditional value at risk is utilized to assess the cost risk caused by the uncertainty of renewable energy resources in the worst-case scenario. Then the Karush-Kuhn-Tucker condition,the Big-M method and strong duality theory of linear programming are used to transform the bi-level optimization problem into a mixed integer linear programming problem. Case analysis indicates that the proposed model can decide the optimal day-ahead scheduling scheme under the worst-case probability distribution of renewable energy output, simultaneously optimize the electricity price and load curve, and reduce the system operation cost and risk.
This work is supported by National Natural Science Foundation of China (No. 51777027).
|||ZHANG Hong, MA Hongjun, YAN He, et al. Two-stage Day-ahead Optimal Microgrid Scheduling with Coordination Between Supply and Demand Considering WCVaR Assessment[J/OL]. Automation of Electric Power Systems, http://doi. org/10.7500/AEPS20200518002.|