A novel modified hybrid PSOGSA based on fuzzy logic for non-convex economic dispatch problem with valve-point effect

Symbiotic Organisms Search algorithm for economic load dispatch problem with valve-point effect

“…The total load demand is 283.4 MW for this case. The generators data are obtained from [29,35] and presented in Appendix Table A.2 and Table A.3. Results are obtained from proposed algorithm for 40 runs and given in Table 5 by comparison with other techniques reported before in the literature.…”

“…In the constrained case, power outputs of 11 th and 12 th generators are fixed at 75MW and 60MW. Generators data and B-coefficient are obtained from [35] and presented in Appendix Table A.4 and Table A.5. Results obtained from SOS algorithm for these cases are given in Table 7 by comparing other methods reported before.…”

“…Hence, the solution of this problem becomes difficult due to an increase in local optimum points in the search space [35]. When the valve-point effect is taken into account, the ELD problem can be described as follows:…”

“…(1). In this instance, the power output of Nth unit (i.e., slack generator) can be described as follows [17,35]:…”

“…Tabu Search (TS) other heuristic search algorithms applied to ELD in the course of finding the best optimal solution. Besides hybrid algorithms such as cultural self-organizing migrating strategy (CSOMA) [24], Chaotic Differential Evolution and Quadratic Programming (DEC-SQP) [25], fuzzy adaptive particle swarm optimization (FAPSO) [26], hybrid genetic algorithm approach based on differential evolution (GA-DE) [27], hybrid population-based algorithm (PSOGSA) [28], genetic algorithm with active power optimization based on the Newton's second order approach (GA-APO) [29], combination of modified subgradient and harmony search (MSG-HS) [30], hybrid shuffled differential evolution (SDE) algorithm [31,32], improved coordinated aggregation-based particle swarm optimization (ICA-PSO) [33], integrated particle swarm optimization technique with the sequential quadratic programming (PSO-SQP) technique [34], modified hybrid Particle Swarm Optimization and GSA based on fuzzy logic (FPSOGSA) [35], Real parameter quantum evolutionary algorithm (RQEA) [36], etc. have been developed by authors to solve ELD problem.…”