Pacific-Asia Workshop on Computational Intelligence and Industrial Application, IEEE (2008)
Dec. 19, 2008 to Dec. 20, 2008
The Pareto Ant Colony Algorithm (PACA) for Multi-Objective Power Network Planning is presented according to the Current Situation of resolve Multi-Objective Power Network Planning by translate Multi-Objective problem to single-Objective problem. The weights are determined randomly for each objective, make all the objective have the same status and avoid the difficulty of determine weights. It can greatly reduce the quantity of calculation by solve the multiple objective optimization problems directly. Get the Pareto-front, and then the relation of the objectives is present by a map. The correctness of the proposed method is verified by the example of the 18-bus system.
Multi-Objective, Power network planning, Pareto Ant Colony Algorithm, Economic, Reliability
F. Yang, C. Jia-lin, M. Ling-he and Z. Lan, "The Application of Pareto Ant Colony Algorithm in Multi-Objective Power Network Planning," 2008 Pacific-Asia Workshop on Computational Intelligence and Industrial Application. PACIIA 2008(PACIIA), Wuhan, 2008, pp. 794-798.