| 考虑直接负荷控制与风电不确定性的输电网扩展规划 |
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| 引用本文： | 蒋霖,郑倩薇,王枫,仉梦林,刘巨,艾小猛,姚伟,文劲宇.考虑直接负荷控制与风电不确定性的输电网扩展规划[J].电力系统保护与控制,2020,48(3):138-146. |
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| 作者姓名： | 蒋霖 郑倩薇 王枫 仉梦林 刘巨 艾小猛 姚伟 文劲宇 |
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| 作者单位： | 国网湖北省电力有限公司,湖北武汉430077;水火电资源优化配置与仿真技术实验室(国网湖北省电力有限公司经济技术研究院),湖北武汉430077;强电磁工程与新技术国家重点实验室,电力安全与高效湖北省重点实验室(华中科技大学电气与电子工程学院),湖北武汉430074;水火电资源优化配置与仿真技术实验室(国网湖北省电力有限公司经济技术研究院),湖北武汉430077 |
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| 基金项目： | 中国博士后科学基金项目资助(M2018642841); 国家自然科学基金项目资助(51707070); 国网湖北省电力有限公司科学技术项目资助“大型枢纽电网主配网协调规划技术研究” |
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| 摘 要： | 需求响应项目的推广以及风电并网后电源侧出力的不确定性,给电力系统的输电网规划带来了新的机遇和挑战。为利用需求响应减少建线投资,建立了考虑直接负荷控制参与N?1预想故障潮流调整的输电网规划模型。采用基于历史数据凸包顶点的极限场景法处理风电不确定性,保证所建立的输电网规划模型为易于求解的混合整数规划问题。结合实际工程参数,基于改进的IEEE24节点系统进行仿真。仿真结果体现了直接负荷控制在缓解潮流越限、减少建线成本方面的作用,说明需求响应措施在保证系统运行安全性的前提下能够提高规划经济性,通过调整凸包范围能够有效调节所提模型的经济性与鲁棒性。
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| 关 键 词： | 输电网规划 需求响应 预想故障 极限场景法 混合整数线性规划 |
| 收稿时间： | 2019/3/13 0:00:00 |
| 修稿时间： | 2019/4/28 0:00:00 |
Transmission network expansion planning considering direct load control and wind power uncertainty |
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| JIANG Lin,ZHENG Qianwei,WANG Feng,ZHANG Menglin,LIU Ju,AI Xiaomeng,YAO Wei and WEN Jinyu.Transmission network expansion planning considering direct load control and wind power uncertainty[J].Power System Protection and Control,2020,48(3):138-146. |
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| Authors: | JIANG Lin ZHENG Qianwei WANG Feng ZHANG Menglin LIU Ju AI Xiaomeng YAO Wei and WEN Jinyu |
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| Affiliation: | State Grid Hubei Electrical Power Co., Ltd., Wuhan 430077, China;Hydrothermal Power Resource Optimization and Simulation Laboratory State Grid Hubei Electrical Power Co., Ltd.Economics Research Institute, Wuhan 430077, China,State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China,State Grid Hubei Electrical Power Co., Ltd., Wuhan 430077, China;Hydrothermal Power Resource Optimization and Simulation Laboratory State Grid Hubei Electrical Power Co., Ltd.Economics Research Institute, Wuhan 430077, China,State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China,Hydrothermal Power Resource Optimization and Simulation Laboratory State Grid Hubei Electrical Power Co., Ltd.Economics Research Institute, Wuhan 430077, China,State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China,State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China and State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China |
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| Abstract: | The promotion of demand response programs and the uncertainty caused by wind power integration create opportunity and challenge to transmission network expansion planning.To defer the transmission line investment with demand response,the transmission expansion planning model is proposed considering direct load control in generation re-dispatch for N-1 contingency.The extreme scenario method based on the convex hull vertices of history data is utilized to tackle with wind power uncertainty,which ensures the proposed model is a solvable mixed integer linear programming model.The modified IEEE 24-node system is tested with practical parameters.The function of demand response in relieving power flow overload and reducing transmission line investment is presented in the simulation results,which indicates demand response can improve the economy of power grid planning with the guarantee of system operation security.By adjusting the range of convex hull,the balance between economy and robustness of the proposed model can be reached. |
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| Keywords: | transmission network planning demand response N-1 contingency extreme scenario method mixed integer linear programming |
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