中国电力 ›› 2019, Vol. 52 ›› Issue (6): 11-18.DOI: 10.11930/j.issn.1004-9649.201903084

• 综合能源系统关键技术专栏 • 上一篇    下一篇

考虑多能互补的主动配电网规划与高效Benders求解方法

黄河1, 高松1, 朱磊1, 韩俊2, 刘鹏翔3, 吴志3, 顾伟3   

  1. 1. 国网江苏省电力有限公司, 江苏 南京 210024;
    2. 国网江苏省电力有限公司经济技术研究院, 江苏 南京 210008;
    3. 东南大学 电气工程学院, 江苏 南京 210096
  • 收稿日期:2019-03-26 修回日期:2019-05-15 出版日期:2019-06-05 发布日期:2019-07-02
  • 作者简介:黄河(1978-),男,硕士,高级工程师,从事配电网规划及运行控制研究,E-mail:huh@js.sgcc.com.cn 吴志(1897-),男,博士,讲师,从事输电网及配电网规划、分布式发电、电力市场等研究,E-mail:zwu@seu.edu.cn 顾伟(1981-),男,博士,教授,从事电力系统运行控制、分布式发电与微电网、配电网及综合能源系统等领域的研究,E-mail:wgu@seu.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(51707033);国网江苏省电力有限公司科技项目(J2018003)。

Active Distribution Network Planning Model and Benders Solution Strategy Considering Multi-energy Complementation

HUANG He1, GAO Song1, ZHU Lei1, HAN Jun2, LIU Pengxiang3, WU Zhi3, GU Wei3   

  1. 1. State Grid Jiangsu Electric Power Company, Nanjing 210024, China;
    2. Economic Technical Research Institute, State Grid Jiangsu Electric Power Company, Nanjing 210008, China;
    3. College of Electrical Engineering, Southeast University, Nanjing 210096, China
  • Received:2019-03-26 Revised:2019-05-15 Online:2019-06-05 Published:2019-07-02
  • Supported by:
    This work is supported by National Natural Science Foundation of China (No.51707033) and the Science and Technology Project of State Grid Jiangsu Electric Power Company (No.J2018003).

摘要: 提出了一种考虑风、光多能互补的主动配电网规划模型及求解策略。考虑了多种可再生能源自身的不确定性和相互间的互补特性,采用局部密度峰值的聚类法生成典型场景,以配电网的全寿命周期成本效益最优为目标函数,构建了基于二阶锥规划的主动配电网规划模型。由于多能互补环境下的配电网规划是一个包含大量场景的混合整数非线性规划问题,在Branch-and-Cut求解框架下,基于现代Benders分解算法给出了规划模型的高效求解策略。最后采用IEEE-24节点测试系统进行了算例分析,测试结果验证了规划模型的合理性以及求解策略的高效性。

关键词: 配电网规划, 可再生能源, 密度峰值聚类, 二阶锥规划, 现代Benders分解

Abstract: An active distribution network planning model and a solution strategy is proposed in this paper considering the multi-energy complementation. With consideration of the uncertainties and complementary characteristics of various renewable energy sources, typical scenarios are generated using the density-based clustering method, and an active distribution network planning model is build based on second order cone programming with the optimal cost-benefit of the distribution network as objective function. Considering that the distribution network planning in multi-energy complementary environment is a mixed integer nonlinear programming problem with a large number of scenarios, an efficient solution strategy is provided for the planning model based on the modern Benders decomposition algorithm under the framework of Branch-and-cut solution. In the end, the IEEE-24 node test system is used for case study, and the result has verified the validity of the planning model and the efficiency of the solution strategy.

Key words: distribution network planning, renewable energy, density-based clustering method, second order cone programming, modern Benders decomposition

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