| 引用本文: | 凌 松,张 莹.计及相关性的主动配电网动态鲁棒规划方法研究[J].电力系统保护与控制,2021,49(10):178-187.[点击复制] |
| LING Song,ZHANG Ying.Research on a dynamic robust planning method for an active distribution network considering correlation[J].Power System Protection and Control,2021,49(10):178-187[点击复制] |
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| 摘要: |
| 为进一步科学地制定配电网不确定规划策略，考虑到分布式电源及多元负荷的不确定性及相关性，提出了一种计及相关性的主动配电网动态鲁棒规划方法。利用Cholesky分解将具有相关性的随机变量转换为相互独立的变量。同时利用多面体不确定性集合表征的方法，将随机变量的不确定性通过无分布的有界区间来表示。提出了主动配电网二阶段鲁棒规划方法，以修改后的IEEE33节点系统作为算例，与传统鲁棒规划方法和不考虑相关性情况下进行了对比分析。仿真结果表明，所提方法提高了配电网不确定性规划策略的合理性和经济性。 |
| 关键词: 不确定性 相关性 Cholesky分解 二阶段鲁棒优化 |
| DOI：DOI: 10.19783/j.cnki.pspc.200983 |
| 投稿时间：2020-08-13修订日期：2020-08-13 |
| 基金项目:国家电网有限公司总部科技项目资助(5442PD 200001) |
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| Research on a dynamic robust planning method for an active distribution network considering correlation |
| LING Song1,ZHANG Ying2 |
| (1. State Grid Anhui Electric Power Company, Hefei 230001, China; 2. Hefei Power Supply Company,
State Grid Anhui Electric Power Company, Hefei 230001, China) |
| Abstract: |
| This paper addresses the issue of scientifically formulating an uncertainty planning strategy of the distribution network. It considers the uncertainty and relevance of distributed power sources and multiple loads. To this end a dynamic robust planning method for active distribution networks is proposed. Cholesky decomposition is used to transform the correlated random variables into mutually independent variables. Using the method of polyhedral uncertainty set representation, the uncertainty of random variables is expressed by an undistributed bounded interval. A two-stage robust planning model for an active distribution network is proposed, using the modified IEEE33-node system as an example, and the model is compared with the traditional robust planning method and without considering the correlation. The simulation results show that the method in this paper improves the rationality and economy of the uncertainty planning strategy of the distribution network.
This work is supported by the Science and Technology Project of the Headquarters of State Grid Corporation of China (No. 5442PD200001). |
| Key words: uncertainty correlation Cholesky decomposition two-stage robust optimization |
