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考虑配电网重构的城市多能源配电/气/热网扩展规划 被引量:18

Expansion Planning of Urban Multi-energy Electricity-Gas-Heating Distribution Network Incorporating Electrical Reconfiguration
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摘要 城市多能源配网(UMEDN)处于能源互联网末端,实现UMEDN的协同规划与运行对提升多能量供给的可靠性与经济性至关重要。从能源配送网络的角度出发,提出了融合配电网重构的配电/气/热网扩展规划模型。首先,构建了能源集线器的数学模型;然后,考虑城市配电网、配气网、配热网以及能源集线器的相关约束,通过小时级别时间尺度模拟UMEDN的运行工况,以总成本最小为目标,建立了混合整数二次规划模型。采用所提模型可得到能量源、配送管道及能源集线器的最优建设类型、投运时间以及建设位置。仿真结果表明考虑配电网重构以及能源集线器的UMEDN协同规划能显著提升系统可靠性,降低相关设备的配置容量,减少能量传输损耗,从而显著降低总体规划与运行费用。 Urban multi-energy distribution network(UMEDN) belongs to the terminal of Energy Internet’s planning and operation. The coordinated planning of UMEDN is vital to improve the reliability and economy of energy supply. From the perspective of energy distribution network, an electricity/natural gas/heat distribution network coupling model that integrates electrical reconfiguration is proposed. First, a mathematical model of energy hub(EH) is constructed. Then, considering the constraints of urban distribution network, gas distribution network, heat distribution network and EH, simulating the working condition of UMEDN by hourly time scale, aiming at the minimum total cost, a mixed integer quadratic programming model is established. The best type, time and location of energy source, pipelines and EH via the proposed model are obtained. The simulation results show that the collaborative planning and operation of UMEDN incorporating electrical reconfiguration and EH can significantly improve system reliability, and reduce the capacity of related equipment, decrease energy distribution loss and the overall costs of planning and operation.
作者 周贤正 郭创新 董树锋 陈玮 ZHOU Xianzheng;GUO Chuangxin;DONG Shufeng;CHEN Wei(College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)
出处 《电力系统自动化》 EI CSCD 北大核心 2019年第7期23-33,共11页 Automation of Electric Power Systems
基金 国家重点研发计划资助项目(2017YFB0902600) 国家自然科学基金资助项目(51877190)~~
关键词 配电网 重构 扩展规划 能源互联网 热网 天然气网 混合整数二次规划 distribution network reconfiguration expansion planning Energy Internet heating network natural gas network mixed integer quadratic programming
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