| 引用本文: | 宋淼,王克文.主动配电网中考虑空间与时间相关性的分布式光伏并网规划[J].电力系统保护与控制,2019,47(5):106-114.[点击复制] |
| SONG Miao,WANG Kewen.Planning of distributed PV grid-access considering the space and time correlation in active distribution network[J].Power System Protection and Control,2019,47(5):106-114[点击复制] |
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| 摘要: |
| 在考虑光伏出力空间与时间相关性的基础上，利用机会约束规划方法建立了主动配电网下计及光伏总费用、电网运行成本、主动管理费用的多目标分布式光伏并网规划模型。首先建立不同类型光伏出力的空间与时序概率模型，并引入随机变量。当光伏出力为空间概率模型时，利用等概率转换原则与Cholesky分解技术处理随机变量在空间上的相关性；当光伏出力为时序概率模型时，利用舍选抽样法处理随机变量在时间上的相关性并形成样本矩阵。最后在求解模型时采用一种随机模拟技术与基于粒子群算法的布谷鸟算法(CAPSO)相结合的混合智能算法进行求解。选取IEEE33系统进行算例分析，仿真结果表明，该模型提高了分布式电源并网渗透率，同时降低了主动配电网规划过程中的综合经济成本。 |
| 关键词: 主动配电网 分布式光伏电源 空间相关性 时间相关性 机会约束规划 |
| DOI：10.7667/PSPC180379 |
| 投稿时间：2018-04-03修订日期：2018-05-23 |
| 基金项目:国家自然科学基金资助项目(61473265) |
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| Planning of distributed PV grid-access considering the space and time correlation in active distribution network |
| SONG Miao,WANG Kewen |
| (School of Electrical & Electronic Engineering, North China Electric Power University, Beijing 102206, China;School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, China) |
| Abstract: |
| On the basis of considering the space and time correlation of photovoltaic (PV), a multi-objective distributed PV grid-access planning model including PV total cost, power grid operation cost and active management fee is established by using the chance constrained programming under the active power distribution network. Firstly, the spatial and temporal probability models of different types of PV are established and the random variables are introduced. When the PV is the spatial probability model, the equal probability conversion principle and the Cholesky decomposition technology are used to deal with the spatial correlation of the random variables; when the PV is the time probability model, the method of selection sampling is used to deal with the temporal correlation and form the sample matrix. Finally, a hybrid intelligent algorithm combining random simulation techniques and Cuckoo Algorithm based on Particle Swarm Optimization (CAPSO) is used to solve the above model. The IEEE33 system is selected for example analysis, the simulation results show that the proposed method improves the distributed PV network penetration and reduces the comprehensive economic cost in the process of active distribution network planning. This work is supported by National Natural Science Foundation of China (No. 61473265). |
| Key words: active distribution network distributed photovoltaics power spatial correlation temporal correlation chance constrained optimization |
