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作 者:潘超[1] 孟涛[1] 蔡国伟[1] 尹杭 刘旭[1]
机构地区:[1]东北电力大学电气工程学院,吉林省吉林市132012 [2]长春供电公司,吉林省长春市130600
出 处:《电网技术》2015年第12期3505-3512,共8页Power System Technology
基 金:国家高技术研究发展计划(863)资助项目(SS2014A-A052502);长江学者和创新团队发展计划资助项目(IRT114)~~
摘 要:基于分解协调原理建立了含广义电源的主动配电网多目标优化配置与运行的双层规划模型,上层模型通过网损灵敏度矩阵确定广义电源的最佳安装位置与初始容量;下层模型根据投资与运行经济性、系统电压偏差及环境污染效应建立多目标优化数学模型以确定广义电源的最佳出力。考虑源荷波动的不确定性因素,提出一种内嵌半不变量随机潮流的-粒子群智能优化算法进行多目标优化运行计算。PG&E-69节点系统算例仿真表明,广义电源的合理配置与优化运行在有效提高分布式电源渗透率的基础上能够减少网络损耗并改善系统运行电压水平,且从概率的角度对电压、网损进行评估,为电网规划运行提供辅助决策。Based on principle of decomposition coordination, a bi-level optimization model of generalized power sources(GPS) is established to study reasonable configuration and optimize problem of GPS in active distribution network(ADN). Upper-level optimization is used to determine locations and initial sizes of GPS based on principle of network loss sensitivity. Lower-level optimization model is a multi-objective one, with factors of investment benefit, voltage deviation and pollutant emission considered to determine optimal output of GPS. An intelligent optimization algorithm, combining stochastic load flow method and multi-objective particle swarm optimization algorithm, is proposed to solve the optimization model. Finally, the model and algorithm is tested with PGE-69 node system, and simulation result shows that with reasonable GPS access to ADN, network loss is decreased and voltage level improved. Indexes of voltage and network loss are assessed from the viewpoint of probability, which is helpful to practical engineering application.
关 键 词:主动配电网 广义电源 双层规划模型 多目标粒子群算法 随机潮流
分 类 号:TM715[电气工程—电力系统及自动化]
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