DocumentCode
3247959
Title
Time coordination method for power system protection by evolutionary algorithm
Author
So, C.W. ; Li, K.K.
Author_Institution
Hong Kong Polytech. Univ., Kowloon, Hong Kong
Volume
4
fYear
1999
fDate
1999
Firstpage
2348
Abstract
A typical industrial power network may consist up to hundreds of pieces of equipment and requires even more protection relays to protect the system. Each protection relay in the power network needs to be coordinated with the relays protecting the adjacent equipment. The overall protection coordination is thus very complicated. A new concept of protection coordination by time is introduced in this paper to formulate all the system relays and system equipment operation into a set of optimization equations and constraints. Its purpose is to search for an optimal protection setting to minimize the system disturbance time as well as the time of interruption of power supply. An evolutionary algorithm is applied as a constraint satisfaction optimization tool to search for the optimal relay setting. This method can find out the best protection relay coordination that cannot be achieved by traditional methods. This is the most significant achievement
Keywords
evolutionary computation; industrial power systems; optimisation; power system faults; power system planning; power system protection; power system relaying; relay protection; constraint satisfaction optimization tool; constraints; evolutionary algorithm; industrial power network; optimal protection setting; optimization equations; power system disturbances; power system protection; protection coordination; protection relays; time coordination method; Circuit faults; Constraint optimization; Electricity supply industry; Equations; Evolutionary computation; Fault detection; Power supplies; Power system protection; Power system relaying; Protective relaying;
fLanguage
English
Publisher
ieee
Conference_Titel
Industry Applications Conference, 1999. Thirty-Fourth IAS Annual Meeting. Conference Record of the 1999 IEEE
Conference_Location
Phoenix, AZ
ISSN
0197-2618
Print_ISBN
0-7803-5589-X
Type
conf
DOI
10.1109/IAS.1999.799171
Filename
799171
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