• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

Electric Power Construction ›› 2016, Vol. 37 ›› Issue (7): 20-26.doi: 10.3969/j.issn.1000-7229.2016.07.003

Previous Articles     Next Articles

Robust Optimization Planning Model for Microgrid System

ZENG Ming1, YANG Yongqi1,FAN Shiyuan1,Sun Chenjun2   

  1. 1. School of Economics and Management, North China Electric Power University, Beijing 102206, China;2. State Grid Hebei Electric Power Company, Shijiazhuang 050000, Hebei Province, China
  • Online:2016-07-01
  • Supported by:
    Project supported by National Natural Science Foundation of China(71271082);Fundamental Research Funds for the Central Universities(2015XS43)

Abstract: The uncertainty of distributed renewable energy generation has brought serious negative influence on the optimization planning of microgrid system. This paper studies the robustness constraints based on the deviation between real deviation and estimated deviation of distributed generation, constructs the robust optimization model with system planning cost and operation cost as objective function, and proposes related NSGA-II optimization algorithm. At last, the example analysis results show that the proposed robust optimization model can get the optimal system planning scheme under the certain conditions of robust constraints and system operation constraints, which can provide decision basis for the robust optimization planning of microgrid system.

Key words: microgrid, robust optimization, distributed generation, NSGA-II algorithm

CLC Number: