• 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 ›› 2020, Vol. 41 ›› Issue (6): 107-113.doi: 10.12204/j.issn.1000-7229.2020.06.014

Previous Articles     Next Articles

Day-ahead Optimized Economic Dispatch of CCHP Microgrid Considering Wind Power Uncertainty

CHEN Xi, XU Qingshan, YANG Yongbiao   

  1. School of Electrical Engineering, Southeast University, Nanjing 210096, China
  • Online:2020-06-01
  • Supported by:
    This work is supported by National Natural Sciences Foundation of China (No.51877044).

Abstract: Distributed renewable energy accounts for a high proportion in combined cooling, heating and power (CCHP) microgrids. Wind power generation has brought challenges to the optimal scheduling of CCHP microgrids for its randomness and fluctuation. In this paper, by minimizing the expected operating cost of the system, an optimized economic dispatch model of CCHP microgrid considering wind power uncertainty is established. On the basis of the truncated versatile distribution model to accurately describe the uncertainty of wind power output, the back-scene reduction technology is used to obtain a typical wind power scene after generating a wind power scene by Monte Carlo simulation method. An example of a park in Tianjin is used to analyze energy storage device working status, wind abandonment and energy shortage, and microgrid operation economy. The results verify the necessity and economy of taking into account the uncertainties of wind power by using the truncated versatile distribution model in the economic dispatch of microgrid optimization.

Key words: combined cooling, heating and power (CCHP), optimize scheduling, truncated versatile distribution model, wind power uncertainty, scene reduction

CLC Number: