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

fYear

2007

Firstpage

460

Lastpage

464

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CHICC.2006.4347289

Filename

4347289