Fuzzified Coulomb’s and Franklin’s laws behaved optimization for economic dispatch in multi-area multi-fuel power system

Abstract Multi-Area Multi-Fuel Economic Dispatch (MAMFED) aims to allocate the best generation schedule in each area and offer power transfers between different areas by minimizing objective functions among available fuel alternatives for unit while satisfying various constraints systems. In this paper, Fuzzified Coulomb’s Franklin’s Laws Behaved Optimization (FCFLBO) approach is proposed solve MAMFED problem. (CFLBO) developed from theories, which encompass fascination/aversion, ionization, contact stages. The suggested considers line losses, valve point loading impacts, multi-fuel alternatives, tie-line limits of system. Because contradicting nature cost pollutant emission objectives, weighted sum price penalty factor are used transfer bi-objective function into single function. Furthermore, a fuzzy decision strategy introduced find one Pareto optimal fronts as comprised solution. feasibility FCFLBO algorithm tested on three-area test system both single-area economic dispatch problems. results compared with those krill herd algorithm, exchange market other heuristic approaches surfaced literature. To show effectiveness multi-objective performance indicators such generational distance, spacing metric ratio non-dominated individuals evaluated. divulge that promising problem it furnishes better compromised solution comparison approaches.