Optimal phasor measurement units placement to maintain network observability using a novel binary particle swarm optimization and fuzzy system

Article type: Research Article

Authors: Abiri, Ebrahim | Rashidi, Farzan

Affiliations: Electrical and Electronic Engineering Department, Shiraz University of Technology, Shiraz, Iran

Note: [] Corresponding author. Farzan Rashidi, Electrical and Electronic Engineering Department, Shiraz University of Technology, Shiraz, Iran. E-mail: f.rashidi@ece.ut.ac.ir

Abstract: This paper presents a hybrid modified binary particle swarm optimization and fuzzy system for obtaining the optimal number of PMUs which makes the power system completely observable. Observability assessment is done by means of topological observability rules. Moreover a new rule is employed which can decrease the number of required PMUs for full network observability. In all of the investigations, the effect of zero-injection buses in the power system is considered. Developed PMU placement method is illustrated using IEEE standard systems to demonstrate the effectiveness of the proposed algorithm. The results show that the whole system can be observable with installing PMUs on less than 20% of system buses.

Keywords: Phasor measurement units (PMUs), state estimation, binary linear programming, binary particle swarm optimization, fuzzy systems, power system observability

DOI: 10.3233/IFS-141324

Journal: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 477-483, 2015