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Two-stage Day-ahead Optimal Microgrid Scheduling with Coordination Between Supply and Demand Considering WCVaR Assessment
Author:
Affiliation:

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

Abstract:

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.

Keywords:

Foundation:

This work is supported by National Natural Science Foundation of China (No. 51777027).

Get Citation
[1]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.
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History
  • Received:May 18,2020
  • Revised:October 19,2020
  • Adopted:September 07,2020
  • Online:
  • Published: