Title :
A CGS-MSM PGA Based on Multi-agent and Its Application in Reactive Power Optimization
Author :
Zhao, Tinhong ; Wang, Zhijun ; Man, Zibin
Author_Institution :
Sch. of Fluid Power & Control, Lanzhou Univ. of Technol., Lanzhou
Abstract :
Reactive power optimization of power system is a dispersed, many variables, many restraint and non-linearly combination optimization problem, so it is very difficult to find optimum solving in theory. This paper combines Multi-Agent theory with the CGS-MSM PGA together, and make a certain improvement to heredity operate, set up a kind of improvement CGS-MSM PGA based on Multi-Agent, this algorithm is made up of many sub-MSM PGA, which is made up of one manage Agent (master course) and many algorithm(slaver course). This algorithm, by utilizing the good communication and coordination inner the Multi-Agent system, not only utilize the advantages of the original CGS-MSM PGA in full, but also overcome the difficult of original algorithm. And compared with other algorithm, using this CGS-MSM PGA based on Multi-Agent to solve the problem of reactive power optimization of power system has rapid computer speed and high precision, and can obtain the more excellent solve than other algorithm.
Keywords :
multi-agent systems; optimisation; power engineering computing; reactive power; CGS-MSM PGA; multiagent theory; optimization problem; power system; reactive power optimization; Algorithm design and analysis; Electronics packaging; Genetic algorithms; Grain size; Multiagent systems; Optimization methods; Power system modeling; Power system stability; Power systems; Reactive power; Agent union; MSM-PGA; Multi-Agent; Self-adaptive genetic algorithm; Self-adaptive genetic algorithm. Reactive power optimization of power system; TSP;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.1341
