• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2020, Vol. 41 ›› Issue (8): 129-136.doi: 10.12204/j.issn.1000-7229.2020.08.015

• 智能电网 • 上一篇    

考虑经济环境平衡的风光火联合外送调度策略多目标优化

檀勤良1,2,3, 丁毅宏1, 李渝4, 李锐5   

  1. 1.华北电力大学经济与管理学院,北京市 102206;2.北京能源发展研究基地,北京市 102206;3.新能源电力与低碳发展研究北京市重点实验室(华北电力大学),北京市 102206;4.国网新疆电力有限公司,乌鲁木齐市 830018;5.浙江浙能融资租赁有限公司,杭州市310000
  • 出版日期:2020-08-07 发布日期:2020-08-07
  • 作者简介:檀勤良(1969),男,博士生导师,教授,通信作者,主要研究方向为能源环境建模与优化、资源管理与政策研究、决策分析与运作管理等; 丁毅宏(1995),男,博士研究生,主要研究方向为能源环境建模与优化; 李渝(1969),男,高级工程师,主要从事电力调度控制工作; 李锐(1995),男,硕士,主要从事企业生产运作管理决策咨询工作。
  • 基金资助:
    教育部哲学社会科学重大课题攻关项目(18JZD032);国家自然科学基金项目(71874053)

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).

摘要: 风光火电联合调度运行是推动可再生能源发展的重要途径,并对发电调度策略提出了新要求。文章在经济环境平衡的原则下,以企业购电成本最小、可再生能源发电量最大、可再生能源出力波动最小为目标构建风光火电联合调度多目标优化模型,使用主要目标优先级法转成单目标规划后借助Lingo软件求解,并应用于天中直流输电工程的配套电源中,通过4个季节下的典型日调度结果对比分析,验证了所提出的优化模型在促进可再生能源消纳和节能减排方面的作用。此外,辅助服务费用纳入购电成本使得火电机组负荷分配更加平均。

关键词: 风光火电力系统, 联合调度, 经济环境平衡, 多目标优化

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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