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河北工业大学
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考虑自愈功能的配电网多阶段规划方法研究.

Title: 考虑自愈功能的配电网多阶段规划方法研究.
Alternate Title: Research of power distribution network multi-stage expansion planning considering self-healing.
Language: Chinese
Authors: 葛斐1 297470305@qq.com
张伊宁1 guochuangxin@zju.edu.cn
王绪利1
叶斌1
周贤正2
郭创新2
Source: Journal of Mechanical & Electrical Engineering. May2016, Vol. 33 Issue 5, p614-619. 6p.
Document Type: Article
Author-Supplied Keywords: distribution network planning ; genetic algorithm(GA) ; life circle cost ; multi-stage ; self-healing ; 全生命周期成本 ; 多阶段 ; 自愈 ; 遗传算法 ; 配电网规划 ; distribution network planning ; genetic algorithm(GA) ; life circle cost ; multi-stage ; self-healing ; Language of Keywords: English; Chinese
Abstract (English): Aiming at power supply reliability in the operation of power distribution network, self-healing control technology was applied to the distribution network expansion planning. A multi-stage expansion planning method considering self-healing functions was carried out. The proposed method was analyzed in a 24-bus test system, and sloved the mix-integer nonlinear programming problem by genetic algorithms. On the one hand, self-healing functions were added to the distribution expansion planning, enabled the distribution network to prevent and recover from power failure automatically, reduced outage cost and decreased outage time. On the other hand, the model was based on life circle cost, considered short-time and long-term investment, made the expansion planning economic. The results indicate that multi-stage expansion planning method considering self-healing functions can improve reliability of distribution network operation, and profits are larger. [ABSTRACT FROM AUTHOR]
Abstract (Chinese): 针对配电网供电可靠性问题, 对配电网的多阶段规划方案进行了研究, 对自愈控制技术在配电网中的故障前自我监测、发生故障时快速定位、自动恢复供电等功能进行了总结, 提出了一种考虑自愈功能的配电网多阶段规划方法, 通过遗传算法解决了混合整数非线性问题, 并以24节点测试网络为例进行了分析。采用了基于全生命周期成本的规划方案, 以总收益最大为目标函数, 考虑网络的长短期投资与回报, 使规划方案更具经济效益。加入了配电网自愈功能, 减少了故障停电时间, 降低了停电损失。研究结果表明, 含自愈功能的配电网规划方案不仅能提高配电网运行可靠性, 且更具经济效益, 是一种行之有效的规划方法。 [ABSTRACT FROM AUTHOR]
(Copyright applies to all Abstracts.)
Author Affiliations: 1国家电网安徽省电力公司经济技术研究院,安徽 合肥,230022 ; 2浙江大学电气工程学院,浙江 杭州,310027
ISSN: 1001-4551 (Sherpa/RoMEO, JCR)
PageCount: 614-620
volume: 33
issue: 5
issn: 10014551
pubdate: 2016
DOI: https://doi.org/10.3969/j.issn.1001-4551.2016.05.021
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