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Optimal Combined Heat and Power Economic Dispatch Using Stochastic Fractal Search Algorithm

Journal of Modern Power Systems and Clean Energy 2020年第2期8卷 276-286页

作者： Muwaffaq I.Alomoush the Department of Electrical Power Engineering Hijjawi Faculty for Engineering TechnologyYarmouk UniversityIrbidJordan

Combined heat and power(CHP)generation is a valuable scheme for concurrent generation of electrical and thermal *** interdependency of power and heat productions in CHP units introduces complications and non-convexities in their modeling and *** paper uses the stochastic fractal search(SFS)optimization technique to treat the highly non-linear CHP economic dispatch(CHPED)problem,where the objective is to minimize the total operation cost of both power and heat from generation units while fulfilling several operation interdependent limits and *** CHPED problem has bounded feasible operation regions and many local *** SFS,which is a recent metaheuristic global optimization solver,outranks many current reputable *** constraints of the CHPED is achieved by employing external penalty parameters,which penalize infeasible solution during the iterative *** confirm the strength of this algorithm,it has been tested on two different test systems that are regularly *** obtained outcomes are compared with former outcomes achieved by many different methods reported in literature of *** results of this work affirm that the SFS algorithm can achieve improved near-global solution and compare favorably with other commonly used global optimization techniques in terms of the quality of solution,handling of constraints and computation time.

关键词： Combined heat and power(CHP) economic dispatch global optimization metaheuristic algorithms non-convex optimization problem power systems stochastic fractal search

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