Dual objective multiconstraint swarm optimization based advanced economic load dispatch

Himanshu Shekhar Maharana, Saroj Kumar Dash


In modern power system, one of the most challenging topics is economic load dispatch (ELD). ELD is a non-linear, non-convex and non-smooth problem with some constraints such as valve point loading and ramp rate constraint etc. For solving ELD problem different methods were developed and applied to different power 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 solving ELD problem in this article. DOMSOBAELD method was developed in the form of amalgamating fluids. Transmission line losses, multivalve criteria valve point loading effect, ramp rate constraints and prohibited zones were utilized to optimize the ELD problem as reasonably approximate as possible. The results obtained from DOSOBAELD are compared with PSO, WIPSO and DPSO techniques. It can be clearly seen that DOMSOBAELD yielded minimum cost values with optimal values of real unit outputs. Thus it is an effective and useful method that yielded the best solution for ELD by selecting incremental fuel cost as the decision variable and cost function as fitness function.


Economic load dispatch, Particle swarm optimization, Evolutionary programming, Differential evolution, Weight improved particle swarm optimization, Dispersed particle swarm optimization

DOI: http://doi.org/10.11591/ijece.v11i1.pp%25p
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ISSN 2088-8708, e-ISSN 2722-2578