DocumentCode
2895929
Title
A connection-mode based optimal united planning for the branch and switch in distributed network
Author
Zhikeng, Li ; Zhigang, Chen ; Gang, Wang ; Longjun, Wang
Author_Institution
Guangdong Electr. Power Design Inst., Guangzhou, China
fYear
2011
fDate
6-9 July 2011
Firstpage
1260
Lastpage
1264
Abstract
The network-planning of a middle-voltage distributed system includes branch planning and switch allocation. This two main aspects determinate the economy and reliability of a planning scheme. Therefore, taking the economy and reliability optimization as the two objectives, a multi-objective optimal model for branches and switches united planning of a distributed system is established in this paper. Based on the Pareto optimum theory, and by the specific genetic operators of Partheno-genetic algorithm (PGA), the proposed model is solved efficiently in specified connection mode. By constructing a rational fitness function and performing elitist preservation strategy, a well-proportioned Pareto solution set is obtained. From which the final network planning scheme can be found according to different actual engineering conditions. A typical example is used to verify the proposed model and algorithm to be effective. The results indicated that the proposed method can satisfied the different demands in engineering, and provides theory basis to flexible network planning of the distributed system.
Keywords
Pareto optimisation; genetic algorithms; power distribution economics; power distribution planning; power distribution reliability; switches; Pareto optimum theory; Partheno-genetic algorithm; connection-mode based optimal united planning; flexible network planning; middle-voltage distributed system; multiobjective optimal model; planning scheme reliability; power distribution economics; rational fitness function; switch allocation; Genetic algorithms; Pareto optimization; Planning; Power system reliability; Reliability; Switches; Distributed Network; Genetic Algorithms; Multi-object; Optimal Planning; Pareto Optimum Theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2011 4th International Conference on
Conference_Location
Weihai, Shandong
Print_ISBN
978-1-4577-0364-5
Type
conf
DOI
10.1109/DRPT.2011.5994089
Filename
5994089
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