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Optimal Capacitor Planning of Distribution Feeders Using Immune Algorithm

Power System consists of generation, transmission and distribution systems to deliver the power service to customers. Distribution systems cover a very wide area with components such as main transformers, primary feeders, laterals, distribution transformers, low tension lines and meters. All these components contribute distribution line loss to deteriorate system operation efficiency. With the power system deregulation and Kyoto Protocol, it becomes an important issue for utility companies to achieve loss minimization by various strategies. The objective of this thesis is to derive both the optimal planning of capacitor placement and the operation strategy of switched capacitors by considering the loss reduction and investment cost of capacitors. A practical distribution feeder in Taipower has been selected for three-phase load flow analysis to solve power loss by considering the mutual-coupling effect and feeder daily load curve. The loading in each service zone is analyzed according to the feeder network configuration and power consumption of customers served. The immune algorithm is utilized to derive the optimal locations and capacity of capacitors to be installed along the feeder.
To demonstrate the effectiveness of the proposed capacitor planning, Feeder BW34, which served by Shang-Liao secondary substation of Feng-Shan District, is selected for computer simulation. The installation locations of both fixed and switched capacitors as well as the operation time of switched capacitors are determined according to the reactive power loading profiles of distribution feeders and distribution transformers. With the optimal capacitor planning proposed, the feeder power loss can be reduced effectively and cost benefit of capacitor investment can be enhanced too.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0705106-222615
Date05 July 2006
CreatorsWu, Jiun-De
ContributorsChan-Nan Lu, Tsai-Hsiany Chen, Chao-Shun Chen, J-Lung Show
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageCholon
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0705106-222615
Rightscampus_withheld, Copyright information available at source archive

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