A novel method for loss minimization in distribution networks

控制重构 缩小 还原(数学) 计算机科学 功率损耗 计算 数学优化 功率(物理) 控制理论(社会学) 算法 数学 控制(管理) 嵌入式系统 物理 几何学 量子力学 人工智能
作者
M.A. Kashem,Velappa Ganapathy,G.B. Jasmon,Seyed M. Buhari
标识
DOI:10.1109/drpt.2000.855672
摘要

Network reconfiguration for loss minimization is the determination of switching-options that minimizes the power losses for a particular set of loads on a distribution system. In this paper, a novel method is proposed by formulating an algorithm to reconfigure distribution networks for loss minimization. An efficient technique is used to determine the switching combinations, select the status of the switches, and find the best combination of switches for minimum loss. In the first stage of the proposed algorithm, a limited number of switching combinations is generated and the best switching combination is determined. In the second stage, an extensive search is employed to find out any other switching combination that may give rise to minimum loss compared to the loss obtained in the first stage. The proposed method has been tested on a 33-bus system, and the test results indicate that it is able to determine the appropriate switching-options for optimal (or near optimal) configuration with less computation. The results have been compared with those of established methods reported earlier and a comparative study is presented. With the proposed method, for any input load conditions of the system, the optimum switching configuration can automatically be identified within a reasonable computer time and hence the method can be effectively employed for continuous reconfiguration for loss reduction. The method can be effectively used to plan and design power systems before actually implementing the distribution networks for locating the tie-switches and providing the minimum number of sectionalizing switches in the branches to reduce installation and switching costs.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
量子星尘发布了新的文献求助10
1秒前
读读读发布了新的文献求助10
2秒前
量子星尘发布了新的文献求助10
3秒前
CHENYINGYING完成签到 ,获得积分10
5秒前
7秒前
虚拟的哲瀚完成签到 ,获得积分10
11秒前
12秒前
14秒前
xzj完成签到 ,获得积分10
18秒前
leo完成签到,获得积分10
18秒前
20秒前
粗暴的坤发布了新的文献求助10
20秒前
量子星尘发布了新的文献求助30
26秒前
量子星尘发布了新的文献求助10
26秒前
星辰大海应助粗暴的坤采纳,获得10
27秒前
稳重母鸡完成签到 ,获得积分10
27秒前
jason完成签到 ,获得积分10
31秒前
32秒前
32秒前
BowieHuang应助科研通管家采纳,获得10
33秒前
33秒前
33秒前
33秒前
33秒前
33秒前
33秒前
BowieHuang应助科研通管家采纳,获得10
33秒前
33秒前
科研通AI2S应助科研通管家采纳,获得10
33秒前
LELE完成签到 ,获得积分10
33秒前
淡然的青旋完成签到 ,获得积分10
38秒前
pangminmin完成签到,获得积分10
38秒前
凶狠的土豆丝完成签到 ,获得积分10
40秒前
43秒前
47秒前
量子星尘发布了新的文献求助10
49秒前
曹国庆完成签到 ,获得积分10
51秒前
灯座完成签到,获得积分10
53秒前
量子星尘发布了新的文献求助10
55秒前
Nnn完成签到,获得积分10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Quaternary Science Reference Third edition 6000
Encyclopedia of Forensic and Legal Medicine Third Edition 5000
Introduction to strong mixing conditions volume 1-3 5000
Aerospace Engineering Education During the First Century of Flight 3000
Electron Energy Loss Spectroscopy 1500
Tip-in balloon grenadoplasty for uncrossable chronic total occlusions 1000
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5789276
求助须知:如何正确求助?哪些是违规求助? 5717838
关于积分的说明 15474408
捐赠科研通 4917162
什么是DOI,文献DOI怎么找? 2646802
邀请新用户注册赠送积分活动 1594470
关于科研通互助平台的介绍 1548951