Abstract In order to comprehensively achieve monitoring and diagnosis of the power quality disturbance events in the smart grid as well as consider the optimization of system costs and the interconnection of distributed generators, this paper analyzes the deficiencies of the existing optimal allocation methods for the power quality (PQ) monitors. The model and steps of the binary particle swarm optimization (BPSO) are improved, and a new evaluation function is constructed. Considering the entirely observable network in the domain of the node voltage sag and the completeness of the current information, a novel allocation method based on improved particle swarm optimization is proposed. The improved BPSO is used to iterate the optimal allocation of PQ monitoring sites. Thus the system optimization between the performance and the costs is achieved. Finally, the simulations are carried out using four kinds of distribution networks. The results show that, with fast convergence and good applicability, the proposed algorithm can effectively achieve the diagnosis and optimal allocation of the PQ monitoring sites at a low cost.
Weng Guoqing,Huang Feiteng,Nan Yurong等. Optimize Allocation of Power Quality Monitoring Sites with Distributed Generators[J]. Transactions of China Electrotechnical Society, 2017, 32(13): 229-238.
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2017, Vol. 32 
