径向配电系统DG优化配置技术综述

Purva Sharma, Ankush Tandon
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引用次数: 14

摘要

电力市场的重构、发电技术的升级和全球温室气体减排的对应为发电量的增加铺平了道路。全新世的电力开发和大型发电厂的建设和维护所带来的困难,引起了人们对分布式发电的极大兴趣。从发挥设备维修间隔和减少线路损耗的角度出发,DG是调节负荷成熟、线路过载、供电木材和可靠性问题的可执行方案之一。分布式发电是一种将电力系统建立在离用户尽可能近的地方,然后与集中式发电厂进行比较的技术。但是在径向系统中DG的布放存在许多困难和复杂性,因此为了克服这些问题(如有功和无功损耗、电压分布、DG的尺寸和位置、可靠性),研究人员采用了一些生物(或)进化算法(解析法、数值法、元启发式方法和混合方法)。这些算法遵循这样一种策略,即设计变量(位置、大小、类型、数量)。(DG的)和负载变量(恒功率、变功率)必须根据要求进行考虑。这些算法在不同的总线系统上进行了测试。本文简要介绍了径向配电系统中DG优化配置的技术,并证明了这些技术的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Techniques for optimal placement of DG in radial distribution system: A review
Electricity market reconstituting relegates in power generation technologies and correspondence on the diminution of global greenhouse gas emission have paved the way for an increase in the use of generation. Holocene exploitation in the electric power and difficulty originate from construction and maintenance of large power plants have embossed a gravid deal of interest in distributed power generation. DG is one of the executable option for moderation of problem of load maturation, overloading of lines, timber of supply and reliability in term of exerting equipments maintenance intervals and to abbreviate line losses. Distributed generation is the technique where establishment of the power system as nearer as possible to the consumers and then compare it with the centralized power plants. But there are many difficulties and complexities in placement of DG in radial system, so to overcome these problems (i.e. active and reactive power loss, voltage profile, sizing and sitting of DG, reliability) researchers were used some biological (or) evolutionary algorithms( analytical method, numerical approach, meta-heuristic approach and hybrid approaches). These algorithms follow a strategy where design variables (location, size, type, no. of DG's) and load variables (constant power, variable power) must be considered according to the requirement. These algorithms were tested on a various bus system. This paper presents a brief review of techniques proposed for optimal placement of DG in radial distribution system and those techniques has been shown there effective results.
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