| 引用本文: | 王 杰,王维庆,王海云,武家辉,王帅飞.主动配电网中考虑条件风险价值的智能软开关的规划方法[J].电力系统保护与控制,2022,50(2):1-11.[点击复制] |
| WANG Jie,WANG Weiqing,WANG Haiyun,WU Jiahui,WANG Shuaifei.Planning method of soft open point for an active distribution network considering conditional value-at-risk[J].Power System Protection and Control,2022,50(2):1-11[点击复制] |
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| 摘要: |
| 针对高比例可再生分布式能源的接入造成主动配电网运行电压越限和支路过载问题，提出了计及网络重构基于条件风险价值理论(conditional value-at-risk, CVaR)的智能软开关(soft open point, SOP)三层规划模型。首先，为了模拟分布电源出力不确定性，建立了基于Wasserstein距离的最优场景。其次，上层模型兼顾了综合成本最小化、安全风险最小化两个目标以确定SOP位置与容量；中层模型以每个场景运行成本最小化为目标进行网络重构；下层运行优化模型中考虑了有载调压变压器、投切电容器组、需求响应以及SOP功率传输多种主动调节措施。为了降低模型求解复杂度，采用基于灰靶决策技术的LDBAS算法和二阶锥优化的混合方法进行求解。最后，以修改的IEEE 33节点配电系统为例，对提出的规划模型进行了验证和分析。 |
| 关键词: 主动配电网 智能软开关 条件风险价值(CVaR) 容量规划 灰靶决策技术 LDBAS算法 |
| DOI：DOI: 10.19783/j.cnki.pspc.210412 |
| 投稿时间：2021-04-15修订日期：2021-06-24 |
| 基金项目:国家自然科学基金项目资助(52067020，51667020)；自治区教育厅重点项目资助(XJEDU2019I009) |
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| Planning method of soft open point for an active distribution network considering conditional value-at-risk |
| WANG Jie,WANG Weiqing,WANG Haiyun,WU Jiahui,WANG Shuaifei |
| (1. Engineering Research Center of Education Ministry for Renewable Energy Power Generation and
Grid-connected Control, Xinjiang University, Urumqi 830047, China; 2. Huizhou Power
Supply Bureau of Guangdong Power Grid Company, Huizhou 516001, China) |
| Abstract: |
| There are problems of voltage violations and branch overload caused by the high proportion of renewable distributed energy in a distribution network. Thus a three-layer planning model of soft open point (SOP) is proposed based on network reconstruction and conditional value-at-risk (CVaR) theory. First, in order to simulate the output uncertainty of distributed generation, an optimal scenario is constructed based on Wasserstein distance. Secondly, the upper layer model determines the location and capacity of SOPs considering the two objectives of minimizing the annual comprehensive cost and security risk simultaneously; the middle level model carries out network reconstruction with the goal of minimizing the running cost of each scene; in the optimization model of the lower layer, active various regulation measures such as on-load tap changers, switching capacitor banks, demand response and power transmission of SOPs are considered. In order to reduce the calculation complexity of the model, the hybrid method of the LDBAS algorithm based on grey target decision-making technology and second-order cone optimization is used to analyze the three-layer planning model. Finally, the proposed planning model is verified and analyzed by taking the modified IEEE 33 bus distribution system as an example.
This work is supported by the National Natural Science Foundation of China (No. 52067020 and No. 51667020). |
| Key words: active distribution network soft open point conditional value at risk (CVaR) capacity planning grey target decision-making technology LDBAS algorithm |
