Title :
Applying power domination with hybrid search to optimal PMU placement problems
Author :
Chung-Shou Liao ; Tsung-Jung Hsieh ; Xian-Chang Guo ; Jian-Hong Liu ; Chia-Chi Chu
Author_Institution :
Dept. of Ind. Eng. & Eng. Manage., Nat. Tsing Hua Univ., Hsinchu, Taiwan
Abstract :
The aim of the optimal PMU placement (OPP) problem is to minimize the number of PMUs and to ensure the complete observability of the entire power grid simultaneously. A hybrid two-phase algorithm for this problem is proposed. In phase 1, based on the graph-theoretic approach for the power domination (PD) problem in sparse graphs, possible locations of PMUs derived by a decomposition technique are quickly identified. In the second phase, the minimum number of PMUs can be achieved by using a local search heuristic method, the Artificial Bee Colony (ABC) algorithm. By using similar approaches for treating the zero injection node for further reducing the number of PMUs, all load buses are assumed to be described by ZIP load models. The hybrid algorithm can be applied with minor modifications. Numerical studies on various IEEE test systems are carried out to demonstrate the feasibility and superior performances of the proposed algorithm.
Keywords :
graph theory; optimisation; phasor measurement; power grids; search problems; ABC; IEEE test systems; OPP; ZIP load models; artificial bee colony algorithm; decomposition technique; graph-theoretic approach; hybrid search; hybrid two-phase algorithm; load buses; local search heuristic method; optimal PMU placement problems; phasor measurement units; power domination problem; power grid observability; sparse graphs; zero injection node; Approximation algorithms; Load modeling; Numerical models; Observability; Phasor measurement units; Power systems; Tin; Artificial Bee Colony (ABC) Algorithm; Optimal PMU Placement (OPP); Power Domination (PD); ZIP Load Models;
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
DOI :
10.1109/PESMG.2013.6672844