适应自愈要求的配电网开关优化配置

doi:10.11930/j.issn.1004-9649.2016.03.076.07

中国电力 ›› 2016, Vol. 49 ›› Issue (3): 76-82.DOI: 10.11930/j.issn.1004-9649.2016.03.076.07

适应自愈要求的配电网开关优化配置

袁月¹，王守相¹，蒋菱²，周建华³，孙蓉³

1. 天津大学智能电网教育部重点实验室，天津 300072;
2. 国网天津市电力公司电力科学研究院，天津 300384;
3. 国网江苏省电力公司电力科学研究院，江苏南京 211103

收稿日期:2015-10-08 出版日期:2016-03-20 发布日期:2016-04-08
作者简介:袁月（1991—），女，山东德州人，硕士研究生，从事配电系统优化研究。E-mail: yuanyue_91@163.com
基金资助:
国家自然科学基金资助项目（51377115）；国家电网公司科技项目（SGTJDK00DWJS1500101）

Switch Configuration Optimization Based on Self-healing Requirement of Distribution Network

YUAN Yue¹, WANG Shouxiang¹, JIANG Ling², ZHOU Jianhua³, SUN Rong³

1. Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China;
2. Tianjin Electric Power Company Research Institute, Tianjin 300384, China;
3. Jiangsu Electric Power Company Research Institute, Nanjing 211103, China

Received:2015-10-08 Online:2016-03-20 Published:2016-04-08
Supported by:
This work is supported by National Natural Science Foundation of China (No. 51377115) and Science and Technology Project of SGCC (No. SGTJDK00DWJS1500101).

摘要/Abstract

摘要： 自愈是智能配电系统的重要特征，通过对配电网分段开关的优化配置，不仅可以使配电网满足经济性和可靠性要求，更能使网架本身具有良好的自愈性。为体现自愈要求，分别从自愈时间、用户和负荷的角度提出了智能配电网自愈能力的评价指标以及负荷自愈率的分块计算法，在传统开关优化配置的目标函数中加入停电中断费用，在约束条件中增加了最小自愈率的约束，并通过对惯性系数和学习因子的调整改进二进制粒子群算法来求解适应自愈要求的配电网开关优化配置问题。最后，通过算例结果验证了所建模型的合理性和所提方法的有效性。

关键词: 配电网, 自愈, 评价指标, 开关优化配置, 粒子群算法

Abstract: Self-healing is the most important characteristics of the smart distribution system. Through switch configuration optimization, the distribution network can not only satisfy the requirement of reliability and economy, but also have good self-healing property. In order to reflect the requirement of self-healing, the paper proposes the self-healing evaluation indicators and the blocked algorithm of load self-healing rate for the smart distribution system in terms of self-healing time, customer and load. The outage interruption cost is added to the objective function of the traditional switch configuration optimization, and the minimum healing rate is added to the constraints. An improved binary particle swarm optimization algorithm is proposed through adjustment of the inertia coefficient and learning factors to realize the switch configuration optimization of the distribution network that is adaptable to the self-healing requirement. A case study has proved the model’s rationality and the proposed method’s effectiveness.

Key words: distribution system, self-healing, evaluation indicator, switch configuration optimization, PSO algorithm

中图分类号:

TM642

袁月，王守相，蒋菱，周建华，孙蓉. 适应自愈要求的配电网开关优化配置[J]. 中国电力, 2016, 49(3): 76-82.

YUAN Yue, WANG Shouxiang, JIANG Ling, ZHOU Jianhua, SUN Rong. Switch Configuration Optimization Based on Self-healing Requirement of Distribution Network[J]. Electric Power, 2016, 49(3): 76-82.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.2016.03.076.07

https://www.electricpower.com.cn/CN/Y2016/V49/I3/76

参考文献

[1] 王明俊. 自愈电网与分布能源[J]. 电网技术，２００７，３１（６）：１－７．
WANG Mingjun. Self-healing grid and distributed energy resource[J]. Power System Technology, 2007, 31(6): 1-7.
[2] 任江波，郭志忠. 电网自愈控制中的状态估计模式研究[J]. 电网技术，２００７，３１（３）：59-63.
REN Jiangbo, GUO Zhizhong. A study on state estimation mode for self-healing control of power grid[J]. Power System Technology, 2007, 31(3): 59-63.
[3] 王成山，王守相，郭力. 我国智能配电技术展望[J]. 南方电网技术，２０１０，４（１）：18-22.
WANG Chengshan, WANG Shouxiang, GUO Li. Prospect over the techniques of smart distribution network in China[J]. Southern Power System Technology, 2010, 4(1): 18-22.
[4] LEVITIN G, MAZAL-TOV S, ELMAKIS D. Optimal sectionalizer allocation in electric distribution systems by genetic algorithm[J]. Electrical Power System Research, 1994, 31(2): 97-102.
[5] BILLINTON R, JONNAVITHULA S. Optimal switching device placement in radial distribution systems[J]. IEEE Trans on Power Systems,1996, 11(3): 1646-1651.
[6] AMIN M. Toward self-healing energy infrastructure systems [J]. IEEE Computer Applications in Power, 2001, 14(1): 20-28.
[7] 李祥珍，何清素，孙寄生. 智能配电网通信组网技术研究及应用[J]. 中国电力，２０１１，４４（１２）：７８－８１．
LI Xiangzhen, HE Qingsu, SUN Jisheng. Research and application on communication technology in smart distribution and utilization grid [J]. Electric Power, 2011, 44(12): 78-81.
[8] 李天友，徐丙垠. 智能配电网自愈功能与评价指标[J]. 电力系统保护与控制，２０１０，38（２２）：１０５－１０８．
LI Tianyou, XU Bingyin. Self-healing and its benchmarking of smart distribution grid[J]. Power System Protection and Control, 2010, 38(22): 105-108.
[9] 王鲸涛，谢开贵，曹侃，等. 配电网开关优化配置研究现状与展望[J]. 电网技术，２００８，３２（１６）：４７－５２．
WANG Jingtao, XIE Kaigui, CAO Kan. Present situation and prospect of optimal configuration of switching devices in distribution network[J]. Power System Technology, 2008, 32(16): 47-52.
[10] 徐翀．全寿命周期成本管理在电力设备管理中的应用探讨[J]．中国电力，2０１０，４３（３）：７２－７４．
XU Chong． Research of the application in power equipment LCC management [J]． Electric Power, 2010, 43(3): 72-74．
[11] KENNEDY J, EBERHART R C. Particle swarm optimization[C]//Proc of IEEE International Conference on Neural Networks. Piscataway: IEEE Service Center, 1995: 1942-1948.
[12] KENNEDY J, EBERHART R C. A discrete binary version of the particle swarm algorithm[C]//Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on. IEEE, 1997, 5: 4104-4108.
[13] BILLINTON R, JONNAVITHULA S. A test system for teaching overall power system reliability assessment[J]. IEEE Trans on Power Systems, 1996, 11(4): 1670-1676.
[14] 李蕊，李跃，苏剑，等．配电网重要电力用户停电损失及应急策略[J]．电网技术，２０１１，３５（１０）：１７０－１７６．
LI Rui, LI Yue, SU Jian, et al. Power supply interruption cost of important power consumers in distribution network and its emergency management[J]. Power System Technology, 2011, 35(10): 170-176．

[1]	刘雨姗, 陈俊儒, 常喜强, 刘牧阳. 构网型储能变流器并网性能的多层级评价指标体系及应用[J]. 中国电力, 2025, 58(3): 193-203.
[2]	贺春光, 王林峰, 曹媛, 安佳坤, 雷子健, 宋关羽, 冀浩然. 考虑综合收益的多电压等级配电网柔性互联装置协同规划方法[J]. 中国电力, 2025, 58(1): 78-84.
[3]	倪筹帷, 陈杨, 张雪松, 林达, 杜凯健, 陈健. 考虑安全性风险的电热氢系统优化配置方法[J]. 中国电力, 2024, 57(9): 124-135.
[4]	祝士焱, 许寅, 和敬涵, 王颖. 基于多微电网投影的配电系统协调恢复方法[J]. 中国电力, 2024, 57(9): 224-230.
[5]	张亚健, 陈茨, 薛飞, 马丽, 郑敏. 电制氢协同的含高比例光伏配电网两阶段电压随机优化控制[J]. 中国电力, 2024, 57(8): 23-35.
[6]	孙东磊, 孙毅, 刘蕊, 孙鹏凯, 张玉敏. 计及多层级配电网的分布式新能源最大消纳空间分解测算[J]. 中国电力, 2024, 57(8): 108-116.
[7]	凡鹏飞, 李宝琴, 侯江伟, 李嵘, 宋崇明, 林凯骏. 配电网分布式电源经济可承载力评估[J]. 中国电力, 2024, 57(7): 196-202.
[8]	王家武, 赵佃云, 刘长锋, 陈康, 张玉敏. 基于目标级联法的多主体主动配电网自治协同优化[J]. 中国电力, 2024, 57(7): 214-226.
[9]	韩璟琳, 胡平, 侯若松, 陈志永, 李洪涛, 柴园园. 计及多光储一体机的配电网电压优化控制策略[J]. 中国电力, 2024, 57(6): 69-77, 152.
[10]	徐峰亮, 王克谦, 王文豪, 王鹏, 王文烨, 张帅, 赵凤展. 计及激励型需求响应的低压配电网混合储能优化配置[J]. 中国电力, 2024, 57(6): 90-101.
[11]	乔俊峰, 周爱华, 彭林, 王一清, 沈晓峰, 潘森, 杨佩, 黄晨宏. 基于多源数据深度融合的配电网运行评价方法[J]. 中国电力, 2024, 57(6): 193-203.
[12]	张宇, 魏新迟, 冯凯辉, 时珊珊, 孟子涵, 梁媛. 计及分布式光伏承载力的配电网侧独立储能充放电策略[J]. 中国电力, 2024, 57(4): 111-117.
[13]	魏明江, 李鹏, 于浩, 冀浩然, 宋关羽, 习伟. 数字配电网边缘计算模拟实验平台[J]. 中国电力, 2024, 57(3): 12-19.
[14]	焦昊, 殷岩岩, 吴晨, 刘建, 徐春雷, 徐贤, 孙国强. 基于安全强化学习的主动配电网有功-无功协调优化调度[J]. 中国电力, 2024, 57(3): 43-50.
[15]	刘国强, 李国春, 郝亚楠, 李贵海, 吴中杰. 低压直流配电网强弱电弧特征及检测算法[J]. 中国电力, 2024, 57(2): 94-102.

适应自愈要求的配电网开关优化配置

Switch Configuration Optimization Based on Self-healing Requirement of Distribution Network

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

模态框（Modal）标题

适应自愈要求的配电网开关优化配置

Switch Configuration Optimization Based on Self-healing Requirement of Distribution Network

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics