1.浙江大学电气工程学院,浙江省 杭州市 310027;2.国网浙江杭州市萧山区供电有限公司,浙江省 杭州市 311200
为科学指导区域综合能源系统中能源站的建设数量、位置以及供能管线布局,研究了考虑区域综合能源系统拓扑特性的能源站和管线规划方法。首先总结了区域综合能源系统的拓扑特性,根据城市规划方案和地理信息系统获得可供选择的能源站站址和管线通道。进而基于能流平衡约束和热网特性建立能源系统的拓扑描述模型,以初期投资建设和后期运行成本最小化为目标,建立能源站和供能管线布局规划模型,并利用正交多项式逼近等方法对优化模型进行合理的简化处理。算例分析结果表明所提方法可得到更为经济的规划方案。
国家重点研发计划资助项目(2016YFB0901300)。
徐成司(1995—),男,硕士研究生,主要研究方向:综合能源系统规划。E-mail:3140103128@zju.edu.cn
董树锋(1982—),男,通信作者,博士,副教授,主要研究方向:状态估计、有源配电网分析。E-mail:dongshufeng@ zju.edu.cn
吴金城(1991—),男,硕士研究生,主要研究方向:配电网规划、储能系统规划。E-mail:21710148@zju.edu.cn
1.College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;2.Hangzhou Xiaoshan Power Supply Company of State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 311200, China
In order to scientifically determine the number and location of energy stations and the distribution of energy supply pipelines in regional integrated energy system, the planning method of energy stations and pipelines considering topological characteristics of regional integrated energy system is proposed. Firstly, the topological characteristics of regional integrated energy system are summarized. According to the urban planning scheme and geographic information system, the optional energy station sites and pipeline channels are obtained. Secondly, a topological description model of energy system is established based on energy flow balance constraints and heating network characteristics. To minimize the cost of initial construction and later operation, the layout planning model of energy station and energy supply pipeline is established, and orthogonal polynomial approximation is used to simplify the optimization model. The simulation results show that the proposed method could obtain a more economical planning scheme.
[1] | 徐成司,董树锋,吴金城,等.考虑区域综合能源系统拓扑特性的能源站和管线规划[J].电力系统自动化,2020,44(3):74-82. DOI:10.7500/AEPS20190520010. XU Chengsi, DONG Shufeng, WU Jincheng, et al. Planning of Energy Station and Pipeline Considering Topological Characteristics of Regional Integrated Energy System[J]. Automation of Electric Power Systems, 2020, 44(3):74-82. DOI:10.7500/AEPS20190520010. |