文章摘要
田壁源,何 峰,常喜强,刘博文,张新燕.计及综合需求响应的电热气互联能源系统环保经济优化调度[J].电力需求侧管理,2021,23(1):18-24
计及综合需求响应的电热气互联能源系统环保经济优化调度
Environmental economic optimal dispatch of electricity?heat?gas integrated energy system considering integrated demand response
投稿时间:2020-10-01  修订日期:2020-11-16
DOI:DOI:10. 3969 / j. issn. 1009-1831. 2021. 01. 005
中文关键词: 综合能源系统  电热气互联  综合需求响应  非支配排序遗传算法  协同进化论
英文关键词: integrated energy system  electricity?heat?gas interconnection  integrated demand response  NSGA ? II  coevolution theory
基金项目:国家自然科学基金(51667018)
作者单位
田壁源 国网新疆电力有限公司 乌鲁木齐供电公司乌鲁木齐 830011 
何 峰 国网新疆电力有限公司 乌鲁木齐供电公司乌鲁木齐 830011 
常喜强 国网新疆电力有限公司乌鲁木齐 830018 
刘博文 国网新疆电力有限公司乌鲁木齐 830018新疆大学 电气工程学院乌鲁木齐 830047 
张新燕 新疆大学 电气工程学院乌鲁木齐 830047 
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中文摘要:
      为促进综合能源系统多能协同互补互济,提高能效,以电热气互联能源系统为研究对象,提出了一种多目标协同优化的综合需求响应模型及运行策略求解算法。首先,设计了含综合需求响应的电热气互联能源系统架构,采用能量耦合矩阵对互联系统中多能转化关系进行描述,在分时能源价格机制下,构建了混合时间/空间尺度的多能协同综合需求响应数学模型。然后,以最小化的系统用能成本、环境成本和弃风弃光功率为目标,构建了环保经济优化调度模型,采用结合协同进化思想和非支配排序遗传算法的改进优化算法(CoNSGA-Ⅱ)对模型进行求解。仿真结果表明,所提出的模型及优化运行策略能够有效提高多能系统间能量协调能力和综合需求响应能力。
英文摘要:
      In order to promote the multi-energy coordination and mutual assistance of the integrated energy system(IES)and improve energy efficiency, taking the electricity-heat -gas(EHG)-IES as the research object, a multi-objective collaborative optimization integrated demand response(IDR)model and operation strategy solving algorithm are proposed. Firstly, EHG- IES architecture with IDR is designed, and the energy coupling matrix is used to describe the multi - energy conversion relationship in interconnected system. Under the time -sharing energy price mechanism, a multi energy coordinated IDR mathematical model with mixed time or space is constructed. Then, with the goal to minimize system energy cost, environmental cost, abandoning wind and optical power,an optimal dispatch model of environmental economy is constructed. The Co -NSGA -Ⅱ is used to solve this model. The simulation results show that the proposed model and optimal operation strategy can effectively promote the energy coordination ability and comprehensive demand response ability among multi-energy systems.
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