Title :
Reactive power optimization in power system based on chaos ant colony algorithm
Author :
Liu, Zhe ; Wang, Xiaohua ; Li, Chaowei
Author_Institution :
Power Control Center, Henan Puyang Power Supply Co., Puyang, China
Abstract :
A novel co-operative agents approach, ant colony optimization (ACO) algorithm, for solving problems of combinatorial optimization, is put forward by M. Dorigo. The main characteristics of ACO are positive feedback, distributed computation. Preliminary study has shown that it has many promising futures. This paper reviews recent work on ant algorithms and applications, the chaos ant colony optimization (CACO) algorithm is used in reactive power optimization problem in electric power system. The model of reactive power optimization is established taking the minimum network losses as the objective. Its validity is verified through arithmetic examples of IEEE30 node and the practical area network of Puyang city.
Keywords :
feedback; optimisation; power systems; reactive power; CACO; IEEE30 node; chaos ant colony algorithm; combinatorial optimization; cooperative agents approach; distributed computation; positive feedback; power system; reactive power optimization; Algorithm design and analysis; Chaos; Cities and towns; Generators; Optimization; Reactive power; Ant Colony Algorithm; Chaos sequence; Electric power system; Practical network; Reactive optimization;
Conference_Titel :
Electricity Distribution (CICED), 2010 China International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4577-0066-8
