| 引用本文: | 刘芳芳,吕林,刘友波,等.高渗透清洁能源的城市高压配电网转供调度策略[J].电力系统保护与控制,2020,48(11):1-9.[点击复制] |
| LIU Fangfang,Lü Lin,LIU Youbo,et al.Transfer scheduling strategy for urban high-voltage distribution network with highly-penetrated renewable energy[J].Power System Protection and Control,2020,48(11):1-9[点击复制] |
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| 摘要: |
| 提出一种基于多维度概率评估的网络拓扑风险分析新方法，据此构建了城市电网转供双层优化模型，以解决光伏电站非均匀接入电动汽车高渗透地区电网所造成的局部消纳与阻塞问题。在上层模型中，以提高光伏的消纳为主要目标，确定110 kV网络的可行拓扑状态。在下层阻塞管控模型中，为缓解电动汽车高渗透下的电网局部重载状况，以均衡变电站负载率、降低重载支路为目标进行优化。为提高算法效率，以单元组可行拓扑状态选择变量代替传统编码建模，有效降低求解维度。算例结果表明，所提以网络拓扑风险性评估为指导的方法，通过高压配网可重构性协调光伏能源调节系统局部阻塞，可实现清洁能源大规模接入下城市电网运行的安全管控。 |
| 关键词: 概率评估 光伏消纳 局部阻塞管控 重构 |
| DOI：10.19783/j.cnki.pspc.190837 |
| 投稿时间：2019-07-17修订日期：2020-01-13 |
| 基金项目:国家自然科学基金项目资助(51807127);四川省科技厅项目资助(2019YFG0152) |
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| Transfer scheduling strategy for urban high-voltage distribution network with highly-penetrated renewable energy |
| LIU Fangfang,LÜ Lin,LIU Youbo,HUANG Yang,LIU Chang,CHEN Gang |
| (College of Electrical Engineering and Information Technology, Sichuan University, Chengdu 610065, China;Chengdu Power Supply Company, State Grid Sichuan Electric Power Company, Chengdu 610041, China;State Grid Sichuan Electric Power Company Electric Power Research Institute, Chengdu 610072, China) |
| Abstract: |
| In order to solve the problem of local consumption and overload given a high penetration of electric vehicles and non-uniform integration of photovoltaic power, a bi-level optimal model is proposed based on a method of network topology risk analysis of multi-dimensional probabilistic estimation. The upper model aims to improve the consumption of photovoltaic output and determine the alternative topology of 110 kV network. In the lower model, the optimization goals are the loading rate of the substation and numbers of overloaded lines. In order to improve the efficiency of the algorithm, the alternative topology of a unit group is defined as variable instead of the traditional coding method. This reduces the solution dimension. The result indicates that the proposed method can solve local overload by coordinating the reconfiguration of the high voltage distribution network and photovoltaic energy system. This ensures the security of an urban gird that has a large scale of clean energy integration. This work is supported by National Natural Science Foundation of China (No. 51807127) and Sichuan Science and Technology Department Project (No. 2019YFG0152). |
| Key words: probability assessment photovoltaic consumption local block control reconfiguration |
