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文章摘要
计及不确定性与节点边际容量成本的分布式光伏电源规划
Distributed photovoltaic generation planning considering uncertainty and locational marginal capacity cost
Received:July 27, 2018  Revised:July 27, 2018
DOI:
中文关键词: 分布式光伏电源  节点边际容量成本  不确定性  电源规划
英文关键词: distributed photovoltaic generation  locational marginal capacity cost  uncertainty  generation planning
基金项目:国家重点基础研究发展计划(973计划)
Author NameAffiliationE-mail
Yang Jianlin State Grid Shanghai Economic Research Institute yjlscuttjusjtu@126.com 
ZHU Zean School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University whuzza@163.com 
Huang Yichao State Grid Shanghai Economic Research Institute huangyc@sh.sgcc.com 
Fei Fei State Grid Shanghai Economic Research Institute feif@sh.sgcc.com.cn 
Wang Xu* School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University wangxu1989@sjtu.edu.cn 
Jiang Chuanwen School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University jiangcw@sjtu.edu.cn 
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中文摘要:
      从时序性与波动性两方面描述不确定性,构建了考虑不确定性的光伏电源(PV)出力模型与负荷模型。对配电网节点边际容量成本(LMCC)的分析推导与应用进行了改进,明确了含PV与不含PV的LMCC计算方法。利用序贯蒙特卡洛模拟法处理不确定性,利用LMCC的计算指导分布式光伏的选址定容,在此基础上考虑安全性、经济性等多方约束,构建了基于序贯蒙特卡洛模拟与节点边际容量成本的PV规划模型,提出了相应的算法流程。将模型应用于简单馈线分析与IEEE33节点系统规划,验证了方法的有效性;并初步探讨了电网公司针对PV可采取的运营策略,为后续研究指明了方向。
英文摘要:
      The uncertainties are depicted from aspects of time-sequence and randomness, so as to construct a model describing the photovoltaic(PV) power output and load with uncertainties. The derivation and application of locational marginal capacity cost(LMCC) has been improved, and the calculation method of LMCC with and without PV has been clarified. The sequential Monte Carlo simulation method is used to deal with uncertainties, and the calculation of LMCC is applied to guiding the sitting and sizing of distributed PV generation, based on which the PV planning model is established, and the corresponding algorithm flow is proposed. The model is applied in simple feeder analysis as well as IEEE33 node system planning to verify the effectiveness of the method proposed. Besides, the operational strategy of the grid company for PV is also preliminarily discussed, which indicates the direction for subsequent research.
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