Optimal Reactive Power Planning of Power Systems Using Genetic Algorithms

碩士 === 國立臺北科技大學 === 電機工程系碩士班 === 91 === ABSTRACT The purpose of this dissertation is to study the Taipower transmission and substation project on 2003 and 2006, Due to build site difficulty to obtain of overhead line, and use a large number underground cable to cause overvoltage of load p...

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Bibliographic Details
Main Authors: Hai-Wen Chao, 趙海文
Other Authors: Chao-Rong Chen
Format: Others
Language:zh-TW
Published: 2003
Online Access:http://ndltd.ncl.edu.tw/handle/60929602446878251860
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Summary:碩士 === 國立臺北科技大學 === 電機工程系碩士班 === 91 === ABSTRACT The purpose of this dissertation is to study the Taipower transmission and substation project on 2003 and 2006, Due to build site difficulty to obtain of overhead line, and use a large number underground cable to cause overvoltage of load part. We use optimal shunt compensator for control system of offpeak to reasonable voltage range. First we will analysis voltage characteristic for kinds of underground cable on no-load and offpeak load condition, compute all of the charger reactive power of system offpeak, and use programming simulation to find the voltage rank for install the optimal shunt reactor, and to fit in with voltage control and economic effect. This paper to bring up use linear programming and genetic algorithm to achieve the optimal reactive power planning, Thus, after programming simulation to coordination spot price and install space of taipower station substation, and to obtain unity shunt reactor capacity for kinds of voltage rank. Finally to use genetic algorithm to compare, and to demonstrate genetic algorithm can search the solution for globe optimal. The paper also present static var compensator and static synchronous compensator two equipments of flexible AC transmission systems, by means of demonstrate to keep voltage control, and install STATCOM in Chiamin bus to improve lost double circuit contingencies steady state voltage and to supply dynamic damping.