HYBRID METHOD FOR ACHIEVEING PARETO FRONT ON ECONOMIC EMISSION DISPATCH

Kummari Rajesh, N Visali

Abstract


In this paper hybrid method, Modified Nondominated Sorted Genetic Algorithm(MNSGA-II) and Modified Population Variant Differential Evolution(MPVDE) have been placed in effect in achieving the best optimal solution of Multiobjective economic emission load dispatch optimization problem. In this technique latter, one is used to enforce the assigned percent of the population and the remaining with the former one. Performance and convergence characteristics are achieved and diversity preserving mechanism is achieved with the concept of elitism, and from the tradeoff curve, the best optimal solution is predicted using fuzzy set theory. This methodology validated on IEEE 30 bus system with six generators, IEEE 118 bus system with fourteen generators with and without a valve point loading effect and a standard forty generator test system. The solutions are dissimilitude with the existing metaheuristic methods like Strength Pareto Evolutionary Algorithm-II, Multiobjective differential evolution, Multiobjective Particle Swarm Optimization, Fuzzy clustering particle swarm optimization, Nondominated sorting genetic algorithm-II

Keywords


Multiobjective function, cost function, economic load dispatch,tradeoff curve.

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DOI: http://doi.org/10.11591/ijece.v10i4.pp%25p
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