DocumentCode :
1777488
Title :
Research of distribution network reconfiguration with renewable energy power generation unit
Author :
Tian Hao ; Lv Lin ; Wang Yanhan
Author_Institution :
Sichuan Univ., Chengdu, China
fYear :
2014
fDate :
20-22 Oct. 2014
Firstpage :
2680
Lastpage :
2685
Abstract :
In order to make the high permeability of renewable energy of distribution network reconfiguration work more practical and effective, this paper put forward a new model which can absorb wind and photovoltaic generation. Firstly, we setup the mathematical model of renewable energy power generation unit which conclude wind and photovoltaic power generation, and made the output of wind and photovoltaic power generation discretization, divide a day time into three reconfiguration partition depend on load characteristic. Secondly, improve the basic genetic algorithm about chromosome coding method, reduce the initial population of infeasible solution vector space, and adaptively regulates the crossover ratio and mutation ratio during optimization process, improve the speed and effect of the optimization algorithm. Finally, using the improved genetic algorithm to distribution network reconfiguration optimization of each reconfiguration partition. Through the simulation analysis was carried out on the modified IEEE-33 system, verify the correctness and effectiveness of the proposed method.
Keywords :
distributed power generation; genetic algorithms; load distribution; permeability; power distribution economics; power generation economics; solar power; wind power; chromosome coding method; distributed generation; distribution network reconfiguration optimization; genetic algorithm; load distribution; modified IEEE-33 system; photovoltaic power generation discretization; renewable energy permeability; renewable energy power generation unit; vector space; wind power generation discretization; Mathematical model; Photovoltaic systems; Renewable energy sources; Switches; Wind turbines; distribution network; genetic algorithm; network reconfiguration; photovoltaic power generation; wind power generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power System Technology (POWERCON), 2014 International Conference on
Conference_Location :
Chengdu
Type :
conf
DOI :
10.1109/POWERCON.2014.6993665
Filename :
6993665
Link To Document :
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