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文章摘要
配电终端全寿命周期成本模型与智能优化求解
Life cycle cost model and intelligent optimization of distribution automation terminal unit
Received:September 29, 2019  Revised:October 15, 2019
DOI:10.19753/j.issn1001-1390.2020.20.012
中文关键词: 配电自动化终端  全寿命周期成本  布点优化  可靠性  智能算法
英文关键词: distribution automation terminal units, life cycle cost, placement optimization, reliability, intelligent algorithm
基金项目:国家自然科学基金项目(51777078)
Author NameAffiliationE-mail
Zhang Junxiao Grid Planning Research Center,Guangdong Power Grid Co,Ltd,CSG,Guangzhou Guangdong 11919619@qq.com 
Lin Dan* South China University of Technology lindan0203@foxmail.com 
Tang Junxi Grid Planning Research Center,Guangdong Power Grid Co,Ltd,CSG,Guangzhou Guangdong tangjunxi89@163.com 
Cao Huazhen Grid Planning Research Center,Guangdong Power Grid Co,Ltd,CSG,Guangzhou Guangdong 13922120994@139.com 
Gao Chong Grid Planning Research Center,Guangdong Power Grid Co,Ltd,CSG,Guangzhou Guangdong gaochong25903257@qq.com 
Yu Tao South China University of Technology taoyu1@scut.edu.cn 
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中文摘要:
      为了解决由配电网盲目配置“三遥”终端而导致浪费投资费用的问题,文章从全寿命周期成本的角度建立了新颖的综合考虑经济成本和供电可靠性的集中式馈线自动化终端布点优化模型,该模型还同时考虑了配网系统可靠性的多个评价指标及用户重要性差异。针对模型中的可靠性计算,文章详细提出并运用了考虑馈线自动化“一遥”“二遥”“三遥”终端的配电网可靠性分析方法。鉴于配网可靠性不能显式表达与文中模型的NP难性质,文章运用了多种经典智能算法对模型进行对比求解。通过对RBTS BUS5系统进行算例分析,验证了该模型及方法的对终端布点优化问题的可行性和有效性。
英文摘要:
      In order to solve the problem of wasteful investment cost caused by blindly configuring the “three remote” terminals in the distribution network, this paper establishes a novel model to optimize the placement of centralized feeder automation terminal units, which considers not only economic cost and power supply reliability, but also the difference in user importance and multiple reliability indicators. What’s more, this paper presents a detailed analysis method of distribution network reliability considering the access impact of "one-remote", "two-remote" and "three-remote" terminal units. This model is solved by a variety of classical intelligent algorithms, and their results are compared in detail. The feasibility and effectiveness of the model and method for this terminal units placement optimization problem are verified by a case study of RBTS BUS5 system.
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