可再生能源接入下考虑短路电流限制的发输电鲁棒规划方法  

Robust Planning Method for Power Generation and Transmission with Renewable Energy Integration Considering Short-circuit Current Limit

作　　者：程浩忠[1] 张程铭 柳璐[1] 张啸虎 励刚 王峥 CHENG Haozhong;ZHANG Chengming;LIU Lu;ZHANG Xiaohu;LI Gang;WANG Zheng(Key Laboratory of Control of Power Transmission and Conversion,Ministry of Education(Shanghai Jiao Tong University),Shanghai 200240,China;East China Branch of State Grid Corporation of China,Shanghai 200210,China)

机构地区：[1]电力传输与功率变换控制教育部重点实验室(上海交通大学),上海市200240 [2]国家电网有限公司华东分部,上海市200210

出　　处：《电力系统自动化》2021年第10期68-76,共9页Automation of Electric Power Systems

基　　金：国家重点研发计划资助项目(2016YFB0900100);国家自然科学基金资助项目(51807116)。

摘　　要：随着用电负荷密度增大、电网结构紧密程度提高及可再生能源接入带来的不确定性,短路电流越限问题突出。文中提出了一种可再生能源接入下满足短路电流限制的发输电系统鲁棒规划方法。首先,改进了计及网络拓扑结构和电源接入的短路电流计算方法,并内嵌网络结构优化和机组开停机操作优化短路电流水平。其次,采用自适应多面体不确定集合,考虑可再生能源出力不确定性和N-1随机故障,建立发输电系统三层鲁棒规划模型。上层为短路电流限制下的规划决策问题,以输电网扩展、电源建设年投资成本以及最差场景下的年运行成本之和最小为目标;中层寻找包含可再生能源出力与N-1随机故障的最差组合场景;下层为满足不确定场景运行约束的最优潮流问题。然后,利用对偶变换将三层问题转化为经典双层模型,采用列与约束生成算法进行有效求解。最后,IEEE 24节点系统的结果表明,规划方案在可再生能源出力不确定性下均能满足短路电流要求。With the increase of power load density and network structure tightness and the uncertainty caused by renewable energy integration, the problem of excessive short-circuit current becomes prominent. This paper proposes a robust planning method for power generation and transmission system that can satisfy the short-circuit current limit with renewable energy integration. Firstly,the calculation method of short-circuit current considering network topology and power supply integration is improved, where network topology optimization and unit startup/shutdown are employed to optimize the short-circuit current level. Secondly, a three-level robust planning model of the generation and transmission system is built by the adaptive polyhedral uncertainty set considering the uncertainty of renewable energy output and N-1 random failure. The top level is the planning decision problem with short-circuit constraints, whose goal is to minimize the sum of the annual investment cost of transmission network expansion and power construction as well as the annual operation cost in the worst scenario. At the middle level, the worst-case scenario including the combination of renewable energy output and N-1 random failure is found. The lower level is the optimal power flow problem satisfying the operation constraints in uncertain scenarios. Then, the three-level problem is transformed into a bi-level problem by dual transformation and solved by the column-and-constraint algorithm. Finally, the results of IEEE 24-bus system show that the planning scheme can meet the short-circuit current requirements under the uncertainty of renewable energy output.

关 键 词：电力系统 发输电规划 短路电流 鲁棒规划 可再生能源 

分 类 号：TM715[电气工程—电力系统及自动化]