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Power System Distribution Network Planning Based on Hybrid Algorithm
Author: WuJing
Tutor: ShengSiQing
School: North China Electric Power University (Hebei)
Course: Proceedings of the
Keywords: Distribution network planning Associate degree Particle swarm optimization Powell algorithm Infeasible solutions
CLC: TM715
Type: Master's thesis
Year: 2010
Downloads: 78
Quote: 0
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Abstract
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Scientific and effective distribution network optimization planning can save investment costs , reduce network losses , improve the quality of power supply , it is the power sector is an extremely important task . In this paper, the line funding , network loss, supply reliability and covers an area of ??multi-objective function to establish the mathematical model . By multi- objective function and inequality constraints is divided into multiple sub- objectives fuzzy optimization and rough set theory to determine the degree of association between the sub- goal , resulting in the characterization of the relative importance of each goal weight coefficient . Thus the pursuit of multi-objective optimization into seeking the overall satisfaction of the multi-objective optimal . PSO global optimization algorithm and Powell will improve local optimization algorithm combined to optimize the distribution network planning , and selective repair infeasible solutions , increased development capabilities of the algorithm , and improve the ability of local optimization . The examples show that the method has certain feasibility and effectiveness .
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CLC: > Industrial Technology > Electrotechnical > Transmission and distribution engineering, power network and power system > Theory and Analysis > Power system planning
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