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机构地区:[1]东北电力大学电气工程学院,吉林吉林132012 [2]广东电网公司佛山供电局,广东佛山528200 [3]国网山东省电力公司烟台供电公司,山东烟台264000
出 处:《可再生能源》2017年第2期245-251,共7页Renewable Energy Resources
基 金:国家重点基础研究发展计划项目("973"项目)(2013CB228201);吉林省科技发展计划项目(20140101066JC)
摘 要:分布式光伏与储能(PV-BES)接入配电网可将不可控的光伏电源转化为可控电源,进而减小功率损耗并提高电压水平与稳定性。文章建立了以功率损耗变化率为判据的含有功、无功损耗的PV-BES系统出力优化模型;基于遗传算法对模型求解,在配电网不同负荷水平下对PV-BES系统出力进行优化;考虑成本经济性对光伏、储能系统容量进行配置。基于IEEE33节点系统仿真结果表明,文章方法与传统解析法相比,能明显降低功率损耗并提高电压水平。Photovohaic power (PV) systems affects line loss and voltage quality when linking to distribution network, which is one of the important reasons that restrict the development of distributed PV. PV systems will be transformed into controllable sources when combining with battery energy storage (BES) systems linking to the distribution network, which can reduce the power loss and improve the voltage level and stability. The paper proposes PV-BES output optimization model containing of active power loss and reactive power loss which sets loss rate as the criterion;applies genetic algorithm to solve the model, and to PV-BES system output optimization at different load level of the distribution network ; configures the capacity of PV and BES system considering economic costs based on the above. The proposed method is simulated through IEEE 33-bus system, results showing that proposed method can significantly reduce power loss and improve voltage level compared with the traditional analytical method.
关 键 词:分布式光伏-储能系统 可控电源 功率损耗 电压水平 遗传算法
分 类 号:TM615[电气工程—电力系统及自动化]
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