Title :
Optimal placement of PMUs in power systems using heuristic algorithms and Mixed Integer Non Linear Programming methods
Author :
Mazlumi, K. ; Vahedi, H. ; Ezzati, S.M.
Author_Institution :
Electr. Eng. Dept., Zanjan Univ., Zanjan, Iran
Abstract :
This paper aims to optimize the PMU (Phasor Measurement Unit) placement for a full observation of the power network and the minimum number of PMUs. In this paper competition of Mixed Integer Non-Linear Programming and heuristically algorithms such as Bacterial Foraging Algorithm was presented. The results are demonstrated with PMU placement optimization simulation and a redundancy measurement analysis by using IEEE14-bus and Tehran Regional electric company 41-bus networks..
Keywords :
integer programming; nonlinear programming; power system measurement; IEEE14-bus; Tehran Regional electric company 41-bus networks.; bacterial foraging algorithm; heuristic algorithms; mixed integer nonlinear programming methods; phasor measurement unit placement; power network; power systems; redundancy measurement analysis; Heuristic algorithms; Linear programming; Monitoring; Observability; Performance evaluation; Phasor measurement units; Power systems; State estimation; Substations; Voltage;
Conference_Titel :
Electrical Engineering/Electronics Computer Telecommunications and Information Technology (ECTI-CON), 2010 International Conference on
Conference_Location :
Chaing Mai
Print_ISBN :
978-1-4244-5606-2
Electronic_ISBN :
978-1-4244-5607-9
