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基于相关场景聚类的发输电联合扩展规划
引用本文:洪绍云,程浩忠,曾平良,黄丽娜. 基于相关场景聚类的发输电联合扩展规划[J]. 电力系统自动化, 2016, 40(22): 71-76
作者姓名:洪绍云  程浩忠  曾平良  黄丽娜
作者单位: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,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,中国电力科学研究院, 北京市 100192,江西省邮电规划设计院, 江西省南昌市 330002
基金项目:国家自然科学基金重点资助项目(51337005);国家电网公司科技项目(XT71-15-040)
摘    要:电源规划和输电网规划是相互影响的,为应对电源和输电网联合规划,建立了多场景发输电联合扩展规划模型。该模型把支路分为已有支路和待选支路,并分别建立直流潮流方程以使得发输电联合扩展规划成为混合整数线性规划问题,其求解可使用成熟的混合整数线性规划软件。发输电联合扩展规划中负荷和风电的场景确定需要考虑相关性和空间分布特征,提出了保持相关性的负荷风电场景聚类方法。最后,通过在MATLAB平台上编写计算程序,使用标准Garver-6节点和IEEE RTS-24节点系统算例验证了所提方法的有效性,并通过对比说明了负荷空间分布对发输电联合扩展规划的影响。

关 键 词:输电网扩展规划  发输电联合规划  负荷和风电相关性  混合整数线性规划
收稿时间:2015-11-29
修稿时间:2016-08-08

Coordinated Generation and Transmission Expansion Planning with Clusters of Correlative Scenarios
HONG Shaoyun,CHENG Haozhong,ZENG Pingliang and HUANG Lina. Coordinated Generation and Transmission Expansion Planning with Clusters of Correlative Scenarios[J]. Automation of Electric Power Systems, 2016, 40(22): 71-76
Authors:HONG Shaoyun  CHENG Haozhong  ZENG Pingliang  HUANG Lina
Affiliation:Key Laboratory of Control of Power Transmission and Transformation (Shanghai Jiao Tong University), Ministry of Education, Shanghai 200240, China,Key Laboratory of Control of Power Transmission and Transformation (Shanghai Jiao Tong University), Ministry of Education, Shanghai 200240, China,China Electric Power Research Institute, Beijing 100192, China and Jiangxi Planning & Designing Institute of Post & Telecommunications, Nanchang 330002, China
Abstract:Generation expansion planning and transmission expansion planning interact with each other. In order to integrate generation expansion planning and transmission expansion planning, this paper proposes a multi-scenario generation and transmission expansion planning(MGTEP)model. In the MGTEP model, DC power flow constraints on candidate and existing branches are respectively formulated for linearization. The MGTEP model is a mixed integer linear programming(MILP)problem, which can be solved by mature optimization software. The scenarios of load and wind power output in MGTEP need consider temporal and spatial relations. This paper applies K-means clustering to the calculation of these scenarios containing temporal and spatial relations. Finally, case studies with standard Garver-6 bus and IEEE RTS-24 bus system have testified to the validation of these methods through MATLAB platform and expansion planning of different scenarios are compared to illustrate the impact of load spatial distribution on generation and transmission expansion planning. This work is supported by State Key Program of National Natural Science Foundation of China(No. 51337005)and State Grid Corporation of China(No. XT71-15-040).
Keywords:transmission network expansion planning   coordinated planning of generation and transmission   correlation of load and wind power   mixed integer linear programming(MILP)
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