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文章摘要
考虑储能并计及光伏随机性的分布式电源优化配置
Considering Energy Storing and Randomness of Photovoltaic
Received:March 20, 2018  Revised:March 22, 2018
DOI:
中文关键词: 双层规划  分布式电源  场景生成  优化配置
英文关键词: bi-level program  distribution generator  scenario generator  optimal allocation
基金项目:国家电网公司科学技术项目资助(SGTYHT/16-JS-198)
Author NameAffiliationE-mail
WANG Yueqiang* State Grid Shanghai Changxing Electric Power Supply Company 35048757@qq.com 
ZHANG Wenbo State Grid Shanghai Changxing Electric Power Supply Company zhangwb-cx@sh.sgcc.com.cn 
LI Weibin State Grid Shanghai Changxing Electric Power Supply Company liwb-cx@sh.sgcc.com.cn 
ZHANG Jiajie State Grid Shanghai Changxing Electric Power Supply Company zhangjj-cx@sh.sgcc.com.cn 
YAO Yuan State Grid Shanghai Changxing Electric Power Supply Company yaoyuan@sh.sgcc.com.cn 
ZHANG Feifei State Grid Shanghai Changxing Electric Power Supply Company zhangfeifei@sh.sgcc.com.cn 
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中文摘要:
      分布式电源接入后会给配电网节点电压、潮流以及网损等方面带来一定的影响,为提高分布式电源接入后的系统收益,对分布式电源的优化配置问题进行了研究。分别从综合社会收益和电力公司收益两个角度出发,建立将规划与运行相结合的分布式电源双层规划模型,在下层以综合社会收益和电力公司收益最大为目标的基础上,上层以年化总成本最低为目标对配网的分布式电源的接入点和接入容量进行优化。针对分布式电源的随机性,构建了基于核密度估计和K-means聚类的分布式电源出力典型日场景生成方法。以光伏和燃气轮机为例,基于典型10kV配网进行了计算分析,验证了本文模型的有效性。
英文摘要:
      The integration of distribution generators (DG) can bring the influences to the distribution network’s voltage, power flow and loss. In order to enhance the system’s profit, the optimal allocation for DGs is studied. Bi-level optimal allocation model that is for DGs and combined planning and working was established. Basing on aiming at maximizing the integrated social income or power company income in lower level, upper level optimize the integration position and capacity of DGs in order to minimize the annual total cost. As for the randomness of DG output, a method of scenario generation of DG output was raised, which was based on the kernel density estimation and K-means cluster. Taking photovoltaic and gas turbine as an example, calculation and analysis based on typical 10kV distribution network was provided, which verified the validity of the model.
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