Abstract
This article presents how genetic algorithm (GA) method can be efficiently used to the goal programming (GP) formulation of Economic-Environmental Power Dispatch (EEPD) problem with target intervals in a power system operation and planning environment.
In the proposed approach, first the objectives of the problem, economic power generation and atmospheric emission reduction, are considered interval-valued goals in interval programming. Then, in the model formulation, the defined goals are converted into the standard goals in GP by using interval arithmetic technique [1].
In the solution process, an GA is introduced to reach the aspiration levels of the defined goals of the problem to the extent possible and thereby to arrive at a satisfactory decision in the decision making environment.
To illustrate the potential use of the approach, the problem is tested on IEEE 6-Generator 30-Bus System and the model solution is compared with the solutions obtained in the previous study.
Keywords
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Pal, B.B., Biswas, P., Mukhopadhyay, A. (2012). Using Genetic Algorithm to Goal Programming Model of Solving Economic-Environmental Electric Power Generation Problem with Interval-Valued Target Goals. In: Balasubramaniam, P., Uthayakumar, R. (eds) Mathematical Modelling and Scientific Computation. ICMMSC 2012. Communications in Computer and Information Science, vol 283. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28926-2_17
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DOI: https://doi.org/10.1007/978-3-642-28926-2_17
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