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作 者:祁万春 王荃荃 陈庆珠 张群 李辰 黄南天[2] Qi Wanchun;Wang Quanquan;Chen Qingzhu;Zhang Qun;Li Chen;Huang Nantian(State Grid Jiangsu Economic Research Institute,Nanjing 210024,China;College of Electrical Engineering,Northeast Electric Power University,Jilin 132012,China)
机构地区:[1]国网江苏省电力有限公司经济技术研究院,江苏南京210024 [2]东北电力大学电气工程学院,吉林吉林132012
出 处:《可再生能源》2019年第12期1786-1793,共8页Renewable Energy Resources
基 金:国家自然科学基金(51307020);吉林省科技发展计划基金(20160411003XH);江苏省电网公司科技项目(S-129-14-02)
摘 要:高比例光伏电源接入电网后,输电电网的电压和潮流均会发生剧烈波动,从而增加了无功功率的优化难度。文章提出了一种基于自适应粒子群算法的柔性交流输电设备优化配置方法。该优化配置方法以电压稳定性最优、可用输电能力最大、综合费用最小为目标,建立优化模型,并采用基于分布熵改进的自适应粒子群算法确定最佳配置方案。此外,文章还把IEEE-30节点模型的模拟结果和某地区电网的实际光伏出力测量结果进行对比。分析结果表明,文章所提出的优化配置方法能够实现典型柔性交流输电设备的优化配置,该优化配置方法的寻优精度、速度均显著优于传统粒子群算法和遗传算法;利用该优化配置方法确定的最佳配置方案可显著提高电网电压的稳定性和输电能力,降低综合费用,具有工程实用价值。When a high proportion of photovoltaic power supply is connected to the power grid, the system voltage and power flow fluctuation become more severe, and the difficulty of reactive power optimization increases, which affects the voltage stability. A new method of flexible AC transmission system(FACTS) equipment configuring based on adaptive particle swarm optimization(APSO)algorithm is proposed. Aiming at achieve the best voltage stability, the maximum available transmission capacity and the minimum investment cost of the system, a multi-objective optimization model is established to realize the optimal configuration of FACTS equipment which use propose an adaptive particle swarm optimization algorithm based on distributed entropys. The comparative simulation experiments were carried out with the IEEE-30 node model and the actual photovoltaic output data of a regional power grid. The experimental results show that the new method is superior to the traditional particle swarm optimization(PSO) and genetic algorithm(GA).Moreover, the optimal configuration scheme can significantly improve the voltage stability and transmission capacity, reduce the overall cost, and has engineering practical value.
关 键 词:高比例光伏电源 自适应粒子群算法 柔性交流输电 优化配置 电压稳定性
分 类 号:TK51[动力工程及工程热物理—热能工程] TM615[电气工程—电力系统及自动化]
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