DocumentCode :
2538754
Title :
Optimum generation direction for transmission system maximum loading margin considering static voltage stability
Author :
Chang, Ya-Chin ; Su, Chin-Lien
Author_Institution :
Dept. of Electr. Eng., Cheng Shiu Univ., Kaohsiung
fYear :
2008
fDate :
20-24 July 2008
Firstpage :
1
Lastpage :
7
Abstract :
Owing to the difficulties in building new generators and transmission facilities to accommodate the regionally increasing load demands, it becomes vulnerable to voltage instability from over-utilization of the existing facilities or any contingency. In addition to installing FACTS devices, a good generation direction (GD) can also alleviate voltage instability and thus increase loading margin (LM) for more power transferred to the loads. This paper proposes an optimum GD seeking method based on the particle swarm optimization (PSO) algorithm, involving in the continuation power flow (CPF) process to compute the maximum LM (MLM) for the particles, each of which represents a candidate GD for the participating generators. Three objective functions are suggested for possible purposes. The first one is simply used to solve for the MLM without considering operating cost, therefore the MLM derived is the largest. The second one is to minimize the operating cost and accordingly a corresponding MLM is derived. While, the last one is simultaneously to minimize the operating cost as well as maximize the MLM; thus a compromised result is obtained. Also, the results obtained with cost participating factor (Cost PF) approach are used to compare with the propose method and the effectiveness of the proposed method can be validated from the test results.
Keywords :
electric power generation; flexible AC transmission systems; load flow; particle swarm optimisation; power system stability; FACTS devices; PSO algorithm; continuation power flow; cost participating factor; generation direction; load demands; particle swarm optimization algorithm; static voltage stability; transmission system maximum loading margin; Control systems; Cost function; Load flow; Particle swarm optimization; Power generation; Power system dynamics; Power system faults; Reactive power; Stability; Voltage control; Continuation Power Flow; Generation Direction; Maximum Loading Margin; Particle Swarm Optimization; Voltage Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
Conference_Location :
Pittsburgh, PA
ISSN :
1932-5517
Print_ISBN :
978-1-4244-1905-0
Electronic_ISBN :
1932-5517
Type :
conf
DOI :
10.1109/PES.2008.4596494
Filename :
4596494
Link To Document :
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