Title :
Multi-objective Optimization of Reactive Power Dispatch Using a Bacterial Swarming Algorithm
Author :
Zhen, Lu ; Mengshi, Li ; Wenjia, Tang ; Wu, Q.H.
Author_Institution :
Liverpool Univ., Liverpool
Abstract :
This paper presents a novel optimization algorithm for solving reactive power dispatch problem. The problem is formulated as a nonlinear constrained multi-objective optimization problem with real power losses and voltage stabilities to be optimized simultaneously. This problem is handled by a bacteria swarming algorithm (BSA) proposed in this paper. The BSA has been evaluated on an IEEE 30-bus test system and the results demonstrate its capabilities of generating superior solutions to the conventional weighted sum-based methods.
Keywords :
load dispatching; optimisation; reactive power; IEEE 30-bus test system; bacterial swarming algorithm; nonlinear constrained multiobjective optimization algorithm; reactive power dispatch problem; real power loss; voltage stability; Constraint optimization; Microorganisms; Optimization methods; Pareto optimization; Power generation; Power system stability; Reactive power; Reactive power control; System testing; Voltage; Bacterial Swarming Algorithm; Multi-objective optimization; Reactive power dispatch;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4347289
