• 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 ›› 2019, Vol. 40 ›› Issue (9): 64-72.doi: 10.3969/j.issn.1000-7229.2019.09.008

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Optimal Scheduling of Combined Cooling Heating and Power Microgrid Based on Demand Response and Multi-Energy Coordination

YUAN Guili, DONG Jinfeng, WEI Geng, JIA Xinchao   

  1. School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
  • Online:2019-09-01

Abstract: Taking into account the multi-complementary power supply side and the load-side demand response (DR) is an important means to improve the coordination power generation capacity of the source and the load side, and can promote peak-shaving and valley-filling and increase economic benefits. In view of the problems of the randomness and mismatch of cooling, heating and power load, considering that human has certain adaptability to the temperature, this paper combines photovoltaic, wind power and  gas turbine combined cooling heating and power (CCHP), and proposes a source-load coordinated CCHP microgrid based on DR. Under the typical scene, considering the uncertainty of new energy output, an optimal scheduling model is established. The model aims to minimize the economic cost, and is solved by immune genetic algorithm. The relationship between dispatching cost and different DR modes, temperature deviation is discussed, and whether the system introduces electric heating equipment is discussed. The analysis of the example shows that the optimal scheduling method based on DR and multi-energy coordination for CCHP microgrid can effectively reduce cost and has significant economic and social value.

Key words: combined cooling, heating and power(CCHP), demand response(DR), economic optimal scheduling model, immune genetic algorithm, comfort degree, multiple scenes

CLC Number: