Title :
Optimal incremental placement of PMUs for power system observability
Author :
Wang, F. ; Zhang, W. ; Li, P.
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Hong Kong, Hong Kong, China
Abstract :
This paper presents a series of optimization models for Phasor Measurement Unit (PMU) placement with new considerations. Extended from the formulations based on integer linear programming, issues concerning uncertainty propagation are discussed and an improved model is proposed to alleviate the impact. Furthermore, as it is more valuable in practice with incrementally placing PMUs, a multistage installation framework based on dynamic programming is developed. With a novel index introduced, the presented framework is implemented with uncertainty propagation controlled in a certain level for each stage. Unlike other available approaches, when processing the immediate stage in this paper, current and future installations are simultaneously considered rather than just making decisions from fixed PMU locations. Minimum number of PMUs is guaranteed meanwhile with each installation. In addition, a postprocessing optimization for selection from multiple solutions in integer programming models is also presented. The proposed models are tested in IEEE 14-, 30-, 57- and 118-bus systems. With the results analyzed and discussed, it indicates the improved model can limit the uncertainty propagation in a fixed level, and the proposed multistage framework could be employed as a practical strategy for PMU placement planning.
Keywords :
IEEE standards; dynamic programming; integer programming; linear programming; phasor measurement; power system planning; IEEE 118-bus systems; IEEE 14-bus systems; IEEE 30-bus systems; IEEE 57-bus systems; PMU locations; PMU optimal incremental placement; PMU placement; PMU placement planning; dynamic programming; integer linear programming; optimization models; phasor measurement unit placement; postprocessing optimization; power system observability; uncertainty propagation; Fluid flow measurement; Linear programming; Load flow; Mathematical model; Phasor measurement units; Power measurement; Uncertainty; Optimal placement; PMU; incremental installation; observability; state estimation; uncertainty propagation;
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
DOI :
10.1109/PESGM.2012.6345003