DocumentCode :
75708
Title :
Reliability improvement of power system observability with minimum phasor measurement units
Author :
Firouzjah, Khalil Gorgani ; Sheikholeslami, Ali ; Barforoushi, Taghi
Author_Institution :
Fac. of Electr. & Comput. Eng., Babol (Noshirvani) Univ. of Technol., Babol, Iran
Volume :
7
Issue :
2
fYear :
2013
fDate :
Feb. 2013
Firstpage :
118
Lastpage :
129
Abstract :
The size and complexity of power network and the cost of monitoring equipments, make it unfeasible to monitor the whole system variables. Conventional system analysers use voltages and currents of the network for monitoring purposes, which affects the system analysis, control and protection. A strategic placement of phasor measurement units (PMUs) is crucial to monitor the whole system with minimum number of devices. This study improves a topological circuit observation method to find essential PMUs. Besides the observability of the normal network, observability of abnormal network is considered. Consequently, a high level of system reliability is achieved. The reliability is maintained by observability under bad current data (CT errors) and all possible single single-line outage. These limitations are taken into the account in a hybrid genetic particle swarm optimisation strategy to minimise monitoring cost and avoiding unobservability under abnormal conditions. Proposed algorithm is tested on 14, 30, 39 and 118-bus IEEE standard test systems and a 24-bus network of Mazandaran Regional Electric Company located in north of Iran.
Keywords :
genetic algorithms; particle swarm optimisation; phasor measurement; power system reliability; 118-bus IEEE standard test systems; 24-bus network; Iran; Mazandaran Regional Electric Company; abnormal conditions; bad current data; hybrid genetic particle swarm optimisation strategy; monitoring cost; monitoring equipments; monitoring purposes; phasor measurement units; power network; power system observability; reliability improvement; single-line outage; strategic placement; system analysers; system analysis; system reliability; system variables; topological circuit observation method;
fLanguage :
English
Journal_Title :
Generation, Transmission & Distribution, IET
Publisher :
iet
ISSN :
1751-8687
Type :
jour
DOI :
10.1049/iet-gtd.2012.0221
Filename :
6519363
Link To Document :
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