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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
程浩忠(1962—),男,教授,中国电机工程学会会士,主要研究方向:电力系统规划与运行、电压稳定、电力市场、电能质量。E-mail:hzcheng@sjtu.edu.cn
张程铭(1993—),男,通信作者,博士研究生,主要研究方向:发输电系统运行与规划、鲁棒优化。E-mail:zcm_sjtu@sjtu.edu.cn
柳璐(1983—),女,副研究员,主要研究方向:输电网规划、经济性评估、投资管控。E-mail:liulu52@163.com
收稿日期:2020-08-25,
修回日期:2020-12-11,
网络出版日期:2021-02-04,
纸质出版日期:2021-05-25
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程浩忠,张程铭,柳璐等.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[J].电力系统自动化,2021,45(10):68-76.
CHENG Haozhong,ZHANG Chengming,LIU Lu,et al.Robust Planning Method for Power Generation and Transmission with Renewable Energy Integration Considering Short-circuit Current Limit[J].Automation of Electric Power Systems,2021,45(10):68-76.
程浩忠,张程铭,柳璐等.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[J].电力系统自动化,2021,45(10):68-76. DOI: 10.7500/AEPS20200825012.
CHENG Haozhong,ZHANG Chengming,LIU Lu,et al.Robust Planning Method for Power Generation and Transmission with Renewable Energy Integration Considering Short-circuit Current Limit[J].Automation of Electric Power Systems,2021,45(10):68-76. DOI: 10.7500/AEPS20200825012.
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.
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