DocumentCode :
2614447
Title :
Optimization of inverter placement for mass rapid transit systems using genetic algorithm
Author :
Chuang, Hui-Jen ; Chen, Chao-Shun ; Lin, Chia- Hung ; Chu, Shi-Hong
Author_Institution :
Dept. of Electr. Eng., Kao Yuan Inst. of Technol., Lu Chu
fYear :
2005
fDate :
2005
Firstpage :
1
Lastpage :
6
Abstract :
This paper has presented a methodology to solve the optimal planning of inverter substations for an electrified mass rapid transit (MRT) system by using the genetic algorithm (GA). The mathematical models of power converters in traction substations have been derived for different operation modes. With the variation of power demand of train sets along the main line, the AC/DC load flow analysis has been performed to find the energy consumption and braking regeneration restoration at each power converting substation for system peak and off peak operation over the study period. The overall cost of power consumption, inverter investment, and service reliability are included in the objective function, and each feasible solution is expressed as a chromosome in the GA simulation process. The fitness is then enhanced by considering the diversity of chromosomes so that the global optimization during the solution process can be obtained. It is found that the energy regeneration, which has been resulted from braking operation of train sets approaching the next station, can be restored effectively by the optimal planning of inverters using the proposed genetic algorithm
Keywords :
DC-AC power convertors; genetic algorithms; invertors; load flow; railway electrification; rapid transit systems; regenerative braking; substations; traction power supplies; AC-DC load flow analysis; GA; MRT; braking regeneration restoration; chromosome; costing; electrified mass rapid transit systems; energy consumption; energy regeneration; genetic algorithm; global optimization; inverter placement; optimal inverter substations planning; power consumption; power converters; power converting substation; power demand; pulse uncontrolled rectifier; rails; service reliability; traction substations; Biological cells; Energy consumption; Genetic algorithms; Inverters; Load flow analysis; Mathematical model; Power demand; Power system planning; Power system restoration; Substations; 12 Pulse Uncontrolled Rectifier; AC/DC Load Flow; Genetic Algorithm(GA); Inverter Substation Planning; Mass Rapid Transit (MRT);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES
Conference_Location :
Dalian
Print_ISBN :
0-7803-9114-4
Type :
conf
DOI :
10.1109/TDC.2005.1546968
Filename :
1546968
Link To Document :
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