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. To overcome the premature convergence in an optimization problem diversity preserving operator is employed, from the tradeoff curve the best optimal solution is predicted using fuzzy set theory. This methodology validated on IEEE 30 bus test system with six generators, IEEE 118 bus test system with fourteen generators and with a forty generators test system. The solutions are dissimilitude with the existing metaheuristic methods like Strength Pareto Evolutionary Algorithm-II, Multiobjective differential evolution, Multi-objective Particle Swarm optimization, Fuzzy clustering particle swarm optimization, Nondominated sorting genetic algorithm-II.
In present days with increasing in load demand and with large interconnection of various networks it is essential to operate generating stations optimally within its constraints. Otherwise the price for the cost of generation increases. So it is very much essential to reduce the cost of generation. The cost of generation mainly includes running cost of generation ie., fuel cost with respect to thermal & nuclear power stations. Also the major economic factor in power system planning, operation and control is with the cost of generating real power. In this paper, the main objective is to minimize the cost of real power generation by optimal allocation of generating units to load demand subjected to equality and inequality constraints. The optimum generation scheduling plays an extremely important role in optimal operation of power system. To obtain economic scheduling, a method is proposed based on lambda iterative approach using Differential Evolution programming. The Economic Dispatch (ED) is to minimize the operating fuel cost while satisfying the load demand and operational constraints. The analysis is carried out with inclusion of transmission losses and the results are presented. The proposed method is tested with two sample systems by considering various load demands. The numerical results have shown the performance and applicability of the proposed method. Also the results obtained by the proposed method are compared with the existing methods.
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