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

TAN Qinliang; DING Yihong; LI Yu; LI Rui

doi:10.12204/j.issn.1000-7229.2020.08.015

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Electric Power Construction ›› 2020, Vol. 41 ›› Issue (8) : 129-136. DOI: 10.12204/j.issn.1000-7229.2020.08.015

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

TAN Qinliang^1,2,3, DING Yihong¹, LI Yu⁴, LI Rui⁵

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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

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TAN Qinliang, DING Yihong, LI Yu, LI Rui. Multi-objective Optimization of Combined Wind-Solar-Thermal Power Dispatching Strategy Considering Economic-Environmental Equilibrium[J]. Electric Power Construction. 2020, 41(8): 129-136 https://doi.org/10.12204/j.issn.1000-7229.2020.08.015

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Funding

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）.