Dual objective multiconstraint swarm optimization based advanced economic load dispatch

Himanshu Shekhar Maharana, Saroj Kumar Dash

Abstract


In electric power system, the vital topic to be mooted is economic load dispatch (ELD). It is a non-linear problem with some unavoidable constraints such as valve point loading and ramp rate constraint etc. For solving ELD problem distint methods were devised and tried for different electric supply systems yielding slow convergence rates. To achieve fast convergence, Dual oobjective multi constraint swarm optimization based advanced economic load dispatch (DOMSOBAELD) algorithm is proposed making use of simulated values of real power outages of a thermal power plant as initial estimates for PSO technique embedded in it and used for optimizing economic dispatch problem in this article. DOMSOBAELD method was developed in the form of amalgamating fluids. Presence of power line losses, multiple valves in steam turbines, droop constraints and inhibited zones were utilized to optimize the ELD problem as genuinely approximate as possible. The results obtained from DOSOBAELD are compared with PSO, PSOIW and DPSO techniques. It is quite conspicuous that DOMSOBAELD yielded minimum cost values with most favourable values of real unit outputs. Thus the proposed method proves to be advantageous over other heuristic methods and yields best solution for ELD by selecting incremental fuel cost as the decision variable and cost function as fitness function.

Keywords


differential evolution; differential particle swarm optimization; economic load dispatch; evolutionary programming; particle swarm optimization; particle swarm optimization involving inertia weigh;



DOI: http://doi.org/10.11591/ijece.v11i3.pp%25p
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ISSN 2088-8708, e-ISSN 2722-2578