DocumentCode :
2592700
Title :
The Enhancement of Protective System Reliability with Immune Algorithm
Author :
Tsai, C.T. ; Chen, C.S. ; Lin, C.H. ; Kang, M.S.
Author_Institution :
The Nat. Sun Yat-Sen Univ.
fYear :
2006
fDate :
11-15 June 2006
Firstpage :
1
Lastpage :
8
Abstract :
This paper is to derive the optimal planning of protective relay schemes for a transmission network by immune algorithm. The historical data of protective relay malfunction in Taipower has been used to determine the failure rate and repair rate of each type of protective relays in Taipower system. The Markov models of protective relays are determined and integrated with the transmission network to solve the customer service interruption due to protection relay malfunction for each substation. According to the load composition and service interruption cost of customers served, the outage cost of each substation is calculated- The objective function of system reliability cost is then formulated by considering the customer interruption cost of all substations and the investment cost of protective relay systems. By minimizing the system reliability cost with the proposed IA algorithm, the optimal planning of protective relay system is therefore obtained to achieve the best cost effectiveness of protection relay investment
Keywords :
Markov processes; costing; power transmission planning; power transmission protection; power transmission reliability; relay protection; substation protection; Markov models; Taipower systems; cost; immune algorithm; optimal planning; protective relay scheme; protective system reliability; substation; transmission network; Circuit faults; Cost function; Investments; Power system planning; Power system protection; Power system relaying; Power system reliability; Power transmission lines; Protective relaying; Substation protection; Immune Algorithm; Markov Model; Optimization; Protection Relays; Reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Probabilistic Methods Applied to Power Systems, 2006. PMAPS 2006. International Conference on
Conference_Location :
Stockholm
Print_ISBN :
978-91-7178-585-5
Type :
conf
DOI :
10.1109/PMAPS.2006.360346
Filename :
4202358
Link To Document :
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