Study of Voltage Control and Var Dispatch Using Genetic Algorithm

碩士 === 國立臺灣科技大學 === 電機工程系 === 91 === Abstract The voltage/reactive power control problem in electrical system is an important issue of utility system operation and management. There are many research papers on the optimal exploration of voltage/reactive power control problem to keep the b...

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Main Authors: Hsu Wan-Pau, 許萬寶
Other Authors: Horng-Ching Hsiao
Format: Others
Language:zh-TW
Published: 2003
Online Access:http://ndltd.ncl.edu.tw/handle/10785988597887215880
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spelling ndltd-TW-091NTUST4421242016-06-20T04:16:01Z http://ndltd.ncl.edu.tw/handle/10785988597887215880 Study of Voltage Control and Var Dispatch Using Genetic Algorithm 以基因演算法進行電壓控制及虛功率調度研究 Hsu Wan-Pau 許萬寶 碩士 國立臺灣科技大學 電機工程系 91 Abstract The voltage/reactive power control problem in electrical system is an important issue of utility system operation and management. There are many research papers on the optimal exploration of voltage/reactive power control problem to keep the bus voltage violation within the allowable deviation zone of standard voltage and to minimize the line losses. This dissertation presents a approach to reduce the electrical network into a simple proposed model applying radial equivalent independent method ( REI method ). Based on reduced equivalent model, a feasible solution for scheduling standard voltage and transformer tap/var control using genetic algorithm is developed. The objective of this proposed solution is properly to monitor the load-center bus and substation buses keeping the voltage violation within the deviation zone of expectation values and to minimize the necessary control operation frequency of the transformer tap changer and reactive power regulating equipment. Although the major contributions of this dissertation is intended for application in the system voltage operation and supervision control, it would also be useful in planning studies. Simulation results supporting the validity of the proposed solution in Taipower substations are presented. Horng-Ching Hsiao 蕭弘清 2003 學位論文 ; thesis 113 zh-TW
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language zh-TW
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description 碩士 === 國立臺灣科技大學 === 電機工程系 === 91 === Abstract The voltage/reactive power control problem in electrical system is an important issue of utility system operation and management. There are many research papers on the optimal exploration of voltage/reactive power control problem to keep the bus voltage violation within the allowable deviation zone of standard voltage and to minimize the line losses. This dissertation presents a approach to reduce the electrical network into a simple proposed model applying radial equivalent independent method ( REI method ). Based on reduced equivalent model, a feasible solution for scheduling standard voltage and transformer tap/var control using genetic algorithm is developed. The objective of this proposed solution is properly to monitor the load-center bus and substation buses keeping the voltage violation within the deviation zone of expectation values and to minimize the necessary control operation frequency of the transformer tap changer and reactive power regulating equipment. Although the major contributions of this dissertation is intended for application in the system voltage operation and supervision control, it would also be useful in planning studies. Simulation results supporting the validity of the proposed solution in Taipower substations are presented.
author2 Horng-Ching Hsiao
author_facet Horng-Ching Hsiao
Hsu Wan-Pau
許萬寶
author Hsu Wan-Pau
許萬寶
spellingShingle Hsu Wan-Pau
許萬寶
Study of Voltage Control and Var Dispatch Using Genetic Algorithm
author_sort Hsu Wan-Pau
title Study of Voltage Control and Var Dispatch Using Genetic Algorithm
title_short Study of Voltage Control and Var Dispatch Using Genetic Algorithm
title_full Study of Voltage Control and Var Dispatch Using Genetic Algorithm
title_fullStr Study of Voltage Control and Var Dispatch Using Genetic Algorithm
title_full_unstemmed Study of Voltage Control and Var Dispatch Using Genetic Algorithm
title_sort study of voltage control and var dispatch using genetic algorithm
publishDate 2003
url http://ndltd.ncl.edu.tw/handle/10785988597887215880
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