Distributed Optimal Power Flow Using Bacterial Swarming Algorithm

摘要：

With the increasing use of distributed intelligent devices and the demand of separated power network management,distributed control of a complex power system becomes more and more important in practice.In distributed Optimal Power Flow (OPF) problems,the cost of the network can be optimised by coordinating the control variables of generators and taps in a subsystem.In this paper,distributed OPF problems are handled by the proposed Bacterial Swarming Algorithm (BSA).BSA is designed from a searching framework that combines the underlying mechanisms of bacterial chemotaxis and quorum sensing.The algorithm has been evaluated by simulation studies,which were undertaken on an IEEE 118-bus test system,in comparison with a Genetic Algorithm (GA) and Particle Swarm Optimiser (PSO).

关键词： Distributed optimal power flow bacterial swarming algorithm optimisation

作者: Q.H.Wu T.Y.Ji M.S.Li Z.Lu L.Jiang

作者单位: Electrical Engineering and ElectronicsThe University of Liverpool,Liverpool,L69 3GJ,U.K. Electrical Engineering and Electronics The University of Liverpool,Liverpool,L69 3GJ,U.K.

会议类型: 国际会议

会议名称: International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)

会议地点: 上海

会议语种:英文

在线出版日期: 2008-06-29（万方平台首次上网日期，不代表论文的发表时间）