AN EXAMINATION OF IMPROVED FAULT LOCATION ON POWER SYSTEM TRANSIMMISION LINES USING FUZZY LOGIC APPROACH
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- NGN 3000
BACKGROUND
The reliable operation of large power systems with small stability margin is highly dependent on systems and protection devices. The application of microprocessor based (numeric) relaying protection has improved performance over time but, this has not led to a major impact on speed, sensitivity, and selectivity of primary protective relays. However decision making based on elements of artificial intelligence (AI) can, in my view, lead to a major impact in the aforementioned especially as quick fault removal in lines maintenance is concerned here.
POWER SYSTEM PROTECTION
Designing a fail-free power system, is neither economically justifiable nor technically feasible (Nagrath et al, 1994). Failure of apparatus due to surges or other causes leads to faults on a power system. Strictly speaking, a fault is any abnormal state of the system. In general faults consist of ‘short circuit’ (Stevenson, 1982). Open circuit faults pose potential hazards to personnel, but, they are less server that short circuit faults. Hence they (short circuit faults) must be removal from the system as fast as possible. In modern power systems, this short circuit fault removal process is done automatically, and the equipment that does it is called ‘protective system’ (Stevenson, 1982). This is a combination of transducers, relays and circuit breakers. Although this thesis does not concern the isolation of any part of the system in event of fault, the above premises is inevitable since fault location is a measure for ensuring speedy fault clearing, and fault clearing can only take place if the system is adequately protected.
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