• 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 (8): 129-136.doi: 10.12204/j.issn.1000-7229.2020.08.015

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Multi-objective Optimization of Combined Wind-Solar-Thermal Power Dispatching Strategy Considering Economic-Environmental Equilibrium

TAN Qinliang1,2,3, DING Yihong1, LI Yu4, LI Rui5   

  1. 1.School of Economics and Management, North China Electric Power University, Beijing 102206, China; 2.Beijing Energy Development Research Center, Beijing 102206, China; 3.Beijing Key Laboratory of Renewable Electric Power and Low Carbon Development, North China Electric Power University, Beijing 102206, China; 4.State Grid Xinjiang Electric Power Co., Ltd., Urumqi 830018, China; 5. Zhejiang Zheneng Financial Leasing Co., Ltd., Hangzhou 310000, China
  • Online:2020-08-07 Published:2020-08-07
  • Supported by:
    This work is supported by Ministry of Education Key Projects of Philosophy and Social Sciences Research (No.18JZD032) and National Natural Science Foundation of China (No.71874053).

Abstract: The combined dispatching and operation of wind-solar-thermal power system is an effective way to promote the development of renewable energy, which puts forward new requirements for power generation dispatching strategy. In this paper, under the principle of economic-environmental equilibrium, a multi-objective optimization model for combined dispatching of wind-solar-thermal power is constructed with the objectives of minimum power purchase cost, maximum renewable energy generation, and minimum fluctuation of renewable energy output. The main objective priority method is used to transform the model into single objective programming and then solved by Lingo software. The model is applied to the matching power supply of Tianzhong HVDC transmission project. Through the comparative analysis of typical daily dispatching results in four seasons, the role of the proposed optimization model in promoting renewable energy consumption, energy saving, and emission reduction is verified. In addition, the inclusion of auxiliary service fees into power purchase costs makes the load distribution of thermal power units more evenly.

Key words: wind-solar-thermal power system, joint power dispatching, economic-environmental equilibrium, multi-objective optimization

CLC Number: