Analysis of Practical Constraints using Hybrid Cuckoo Search Algorithm
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Abstract
In this paper a proposed Hybrid Cuckoo
Search Algorithm (HCSA) is used to solve optimal power flow
problem. The evolutionary techniques are based on the randomness
of the values within its variable limits. Hence choosing best starting
solution value and obtaining best final solution within less number of
iterations is one of the challenging tasks. In this the conventional
Cuckoo Search Algorithm (CSA) is combined along with the real
coded Genetic Algorithm (GA) cross over operation to improve the
effectiveness of solution. In reality solution of objective optimal
power flow with satisfying equality and inequality constraints along
with additional constraints of ramp-rate limit and prohibited
operating zone limits (POZ) needs a lot of practice. The complete
procedure is solved on IEEE-30 bus systems with the supporting
results
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