Real coded genetic algorithm for stochastic hydrothermal generation scheduling |
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Authors: | Jarnail S Dhillon J S Dhillon D P Kothari |
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Institution: | 1. G.Z.S. College of Engineering and Technology, Bathinda- 151001, Punjab, India 2. Sant Longowal Institute of Engineering and Technology, Longowal Sangrur-148106, Punjab, India 3. Vindhya Institute of Technology and Science, Indore, Indore, Madhya Pradesh, India |
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Abstract: | The intent of this paper is to schedule short-term hydrothermal system probabilistically considering stochastic operating
cost curves for thermal power generation units and uncertainties in load demand and reservoir water inflows. Therefore, the
stochastic multi-objective hydrothermal generation scheduling problem is formulated with explicit recognition of uncertainties
in the system production cost coefficients and system load, which are treated as random variable. Fuzzy methodology has been
exploited for solving a decision making problem involving multiplicity of objectives and selection criterion for best compromised
solution. A real-coded genetic algorithm with arithmetic-average-bound-blend crossover and wavelet mutation operator is applied
to solve short-term variable-head hydrothermal scheduling problem. Initial feasible solution has been obtained by implementing
the random heuristic search. The search is performed within the operating generation limits. Equality constraints that satisfy
the demand during each time interval are considered by introducing a slack thermal generating unit for each time interval.
Whereas the equality constraint which satisfies the consumption of available water to its full extent for the whole scheduling
period is considered by introducing slack hydro generating unit for a particular time interval. Operating limit violation
by slack hydro and slack thermal generating unit is taken care using exterior penalty method. The effectiveness of the proposed
method is demonstrated on two sample systems. |
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Keywords: | Stochastic multi-objective optimization real-coded genetic algorithm fuzzy set economic load dispatch |
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