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A Hybrid CS-ABC Optimization Technique for Solving Unit Commitment Problem with Wind Power Uncertainty |
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PP: 417-429 |
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doi:10.18576/amis/13S145
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Author(s) |
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A. Amudha,
Mary P. Varghese,
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Abstract |
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| The strength of the power system is completely based in the power flow analysis, examination and design. It is mandatory to perform planning, operating, economic scheduling and power exchange in the available utilities. The voltage and magnitude phase angle at the bus and real/reactive power flow in the transmission lines are the primary function of the power flow examination. This investigation anticipates a solution to power system’s optimal power flow (OPF) integrating wind power. The wind related costs estimation parameters are (i) estimation of wind generator output based on reserve cost arising (ii) cost for not utilizing completely offered wind power which incorporated in conventional OPF. A hybrid cuckoo search optimization technique and artificial bee colony optimization technique is employed for resolving wind power OPF model. Modified IEEE bus systems are used as test systems and it is show that the cuckoo searches and artificial bee colony executes better than conventional swarm optimization. The cost estimation is performed in MATLAB environment. The minimum operating cost is $156000000 at load demand 78MW and wind probability is 0.8269. Similarly, the maximum operating cost is $ 416000000 for 20th hour at load demand 102MW and the wind probability is 1.
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