Electric Power ›› 2022, Vol. 55 ›› Issue (10): 45-53.DOI: 10.11930/j.issn.1004-9649.202206067

Previous Articles     Next Articles

Hierarchical Optimal Scheduling of Microgrid Considering Demand Response and Carbon Emission Quota

ZHOU Mengran, WANG Xu, SHAO Shuai, HU Feng, ZHU Ziwei, ZHANG Yiping   

  1. College of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan 232001, China
  • Received:2022-06-16 Revised:2022-08-25 Online:2022-10-28 Published:2022-10-20
  • Supported by:
    This work is supported by National Key Research & Development Program of China (No.2018YFC0604503), Natural Science Fundation Energy Internet Joint Fund Project of Anhui Province (No.2008085UD06), Major Science & Technology Program of Anhui Province (No.201903a07020013) and Key Projects of Natural Science Research in Anhui Universities (No.KJ2021A0470).

Abstract: In order to realize coordinated resource optimization and improve the economy and environmental protection of the grid-connected microgrids, a hierarchical optimal scheduling model is established with consideration of demand response and carbon emission quota. On the load side, the time of use price and new energy consumption optimization load curve are considered, and multiple indicators are used to evaluate the optimization schemes. On the power generation side, the carbon emission quota is considered, and the distributed power generation within microgrid is optimized to achieve the goal of lowest comprehensive operation cost. The chaos particle swarm optimization (CPSO) is used to solve the optimization problem. The optimization results under the flexible load ratio of 0%, 10%, 20% and different carbon emission limits are analyzed by numerical simulation, which verifies the effectiveness of the proposed model and algorithm.

Key words: optimal scheduling, chaos particle swarm, demand response, electricity satisfaction, carbon emission quota