文章摘要
徐雨田,廖清芬,刘涤尘,等.市场环境下考虑主动管理措施的双层综合能源规划方法[J].电力系统自动化,2018,42(18):114-122. DOI: 10.7500/AEPS20180123005.
XU Yutian,LIAO Qingfen,LIU Dichen, et al.Bi-level Integrated Energy Planning Method Considering Active Management Measures in Electricity Market Environment[J].Automation of Electric Power Systems,2018,42(18):114-122. DOI: 10.7500/AEPS20180123005.
市场环境下考虑主动管理措施的双层综合能源规划方法
Bi-level Integrated Energy Planning Method Considering Active Management Measures in Electricity Market Environment
DOI:10.7500/AEPS20180123005
关键词: 综合能源市场  区域能源供应商  综合能源管理中心  综合能源单元  主动管理措施
KeyWords: integrated energy market  regional energy supplier  integrated energy management center  integrated energy unit  active management measure
上网日期:2018-06-05
基金项目:国家重点研发计划资助项目(2018YFB0904800);国家电网公司科技项目(5211011400BT)
作者单位E-mail
徐雨田 武汉大学电气工程学院, 湖北省武汉市 430072  
廖清芬 武汉大学电气工程学院, 湖北省武汉市 430072 qfliao@whu.edu.cn 
刘涤尘 武汉大学电气工程学院, 湖北省武汉市 430072  
田园园 国网经济技术研究院有限公司, 北京市 100052  
陈懿 武汉大学电气工程学院, 湖北省武汉市 430072  
陈炜 武汉大学电气工程学院, 湖北省武汉市 430072  
摘要:
      在高渗透可再生能源接入配电网的情况下,随着能源市场的逐步开放,综合能源供应商成为综合能源市场内的一个新型利益主体。基于此,提出了一个考虑区域能源供应商和综合能源管理中心净收益双重最大化的双层规划模型,其上层为综合能源管理中心内的各装置容量规划,下层是对综合能源管理中心购电、气策略的确定。同时模型内考虑了可再生能源出力控制、无功补偿的投切、有载变压器的调节3种主动管理措施及可再生能源出力的时序性。采用猫群优化算法与改进的遗传算法对所提模型完成求解计算,并通过IEEE 33节点配电系统验证了模型的合理性。
Abstract:
      In the case of renewable energy with high-permeability access to the distribution network, with the gradual opening of the energy market, the integrated energy suppliers have become a new type of interest subject in the integrated energy market. Thus, a bi-level programming model is proposed, which takes the maximization of net income of regional energy suppliers and the minimization of the total cost of integrated energy management center into account. The upper level of the bi-level programming model is to plan the capacity for each equipment in the integrated energy management center, while the lower level is to determine the electricity and gas buying strategies in the center. The model also takes the renewable energy output control, reactive power compensation switching, on-load transformer regulation of the three active management measures and the timing of renewable energy output into account. The cat swarm optimization algorithm and improved genetic algorithm are used to solve the proposed model, and the rationality of the proposed model is verified by the IEEE 33-node distribution system.
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