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机构地区:[1]华北电力大学电气与电子工程学院,北京市102206 [2]中国电力科学研究院,北京市100192
出 处:《电力建设》2013年第7期37-42,共6页Electric Power Construction
基 金:国家重点基础研究发展计划(973计划)项目(2009CB219700;2009CB219703)
摘 要:在满足一定负荷需求的前提下,以规划区已有分布式电源的类型、容量和位置及变电站的带负荷能力为约束条件,计及配变、馈线等建设费用及包含供电损耗等的运行费用,同时考虑土地类型等地理信息因素对建站费用和位置的影响,建立了一种考虑分布式电源和地理信息因素影响的变电站综合优化规划模型。通过区间层次分析法求出不同类型地块地理信息因素对建站费用的影响因子;通过量子粒子群算法对所建规划模型进行寻优。通过对某规划新区的实证研究,验证了所提模型和算法的科学性和有效性。Based on the constraint conditions of type, capacity, location of existing distribution generation (DG) in the planning area and substation load-bearing capacity, a comprehensive optimal planning model for substation with load demand satisfied, by considering DG and different block geographic information factors (GIF), the construction cost of distributed substation, the cost of feeder and operation cost including current supply losses, as well as the influence of GIF like land properties on the location and cost of construction. Furthermore, the influencial factors of different block geographic information on construction cost were obtained by means of interval analytical hierarchy process. Finally, optimization was carried out on the planning model by using quantum-behaved particle swarm optimization (QPSO) algorithm, and the proposed model and algorithm were proved to be scientific and effective through the empirical study on a planning area.
关 键 词:分布式电源 变电站规划 地理信息因子 量子粒子群优化算法
分 类 号:TM63[电气工程—电力系统及自动化]
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