DocumentCode
3082800
Title
Study on Lv and Mv integrated reactive power optimization in distribution networks
Author
Zhang, Yongjun ; Chen, Chao ; Liao, Minchuan
Author_Institution
Coll. of Electr. Power, South China Univ. of Technol., Guangzhou, China
fYear
2008
fDate
10-13 Dec. 2008
Firstpage
1
Lastpage
5
Abstract
It will achieve better effect in power energy saving of distribution networks by rationally use several low and medium voltage reactive compensations. A mathematical model integrating 10/0.4 kV reactive power compensation is presented in this paper for comprehensive optimal configuration in medium voltage (MV) distribution feeders and lower voltage (LV) side of public transformers based upon the engineering factors of reactive power compensation, whose objective is to minimize the annual expenditure involving voltage the devices investment and the income of energy saving, with satisfying all sorts of operation, fixing and maintenance constrains. The control variables include the capacitor banks´ number and capacity of various compensation schemes. Cataclysmic genetic algorithm with grouped integer encoding is adopted to solve this problem. The results applied in a real distribution feeof distribution networks by rationally use several low and medium voltage reactive compensations. A mathematical model integrating 10/0.4 kV reactive power compensation is presented in this paper for comprehensive optimal configuration in medium voltage (MV) distribution feeders and lower voltage (LV) side of public transformers based upon the engineering factors of reactive power compensation, whose objective is to minimize the annual expenditure involving the devices investment and the income of energy saving, with satisfying all sorts of operation, fixing and maintenance constrains. The control variables include the capacitor banks´ number and capacity of various compensation schemes. Cataclysmic genetic algorithm with grouped integer encoding is adopted to solve this problem. The results applied in a real distribution feeder show that the proposed model is preponderantder show that the proposed model is preponderant and the algorithm is valid.
Keywords
distribution networks; genetic algorithms; power transformers; reactive power; LV integrated reactive power optimization; MV integrated reactive power optimization; capacitor bank number; cataclysmic genetic algorithm; devices investment; distribution network; integer encoding; low voltage reactive compensation; lower voltage distribution feeder; mathematical model; medium voltage distribution feeder; medium voltage reactive compensation; power energy saving; public transformer; voltage 0.4 kV; voltage 10 kV; Chaos; Genetic algorithms; Investments; Low voltage; Mathematical model; Medium voltage; Power engineering and energy; Reactive power; Transformers; Voltage control; distribution networks; genetic algorithm; low and high voltage; reactive power optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Electricity Distribution, 2008. CICED 2008. China International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-4244-3373-5
Electronic_ISBN
978-1-4244-3372-8
Type
conf
DOI
10.1109/CICED.2008.5211753
Filename
5211753
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