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文章摘要
面向风电消纳的区域综合能源系统鲁棒优化调度
Robust Optimal Dispatch of Regional Integrated Energy System for Wind Power Consumption
Received:March 13, 2021  Revised:April 14, 2021
DOI:10.19753/j.issn1001-1390.2021.12.016
中文关键词: 区域综合能源系统  地源热泵  鲁棒优化  综合需求响应  风电消纳
英文关键词: Regional  Integrated Energy  System, Ground  source heat  pump, Robust  optimization, Comprehensive  demand response, Wind  power consumption
基金项目:国家自然科学基金资助项目( 项目编号)52077120
Author NameAffiliationE-mail
Huang Jingguang College of Electrical New Energy,China Three Gorges University,Hubei Yichang 1377672735@qq.com 
Wang Tan* College of Electrical New Energy,China Three Gorges University,Hubei Yichang wt15172519022@163.com 
Lin Xiangning State Key Laboratory ofAdvanced Electromagnetic Engineering and Technology,Huazhong University of Science and Technology wt15172519022@163.com 
Li Zhenxing State Key Laboratory ofAdvanced Electromagnetic Engineering and Technology,Huazhong University of Science and Technology 18800506@qq.com 
Xiong Huajian College of Electrical New Energy,China Three Gorges University,Hubei Yichang wt15172519022@163.com 
Zhang Changyun College of Electrical New Energy,China Three Gorges University,Hubei Yichang 1129159069@qq.com 
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中文摘要:
      区域综合能源系统(Regional integrated energy system,RIES)的多元消纳技术是解决系统“以热定电”运行方式导致弃风问题的有效途径。首先建立了包含风机、光伏、地源热泵和储能的RIES模型。其次,在源测采用鲁棒优化模型处理风电出力不确定性,在荷侧针对电、气、热三种柔性负荷可调度价值,引入价格需求响应机制,构建计及综合需求响应的RIES鲁棒优化调度模型。算例仿真结果证明了所提模型的有效性;相较于传统模型,计及综合需求响应的RIES鲁棒优化模型具有更加可观的经济效益和风电消纳率。
英文摘要:
      The multi-dissipation technology of the Regional Integrated Energy System (RIES) is an effective way to solve the problem of wind curtailment caused by the system"s "heat-constrained power" operation mode . First, an RIES model including wind turbines, photovoltaics, ground source heat pumps and energy storage was established. Secondly, the robust optimization model is used in the source test to deal with the uncertain wind power output. On the load side, the price demand response mechanism is introduced for the dispatchable value of the three flexible loads of electricity, gas, and heat. Construct the RIES robust optimal scheduling model that takes into account the comprehensive demand response. The simulation results of a numerical example prove the validity of the proposed model; compared with the traditional model, the RIES robust optimization model that takes into account the comprehensive demand response has more considerable economic benefits and wind power consumption rate.
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