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Dynamic programming is an effective technique for the evaluation of the potential of optimal fuel consumption of drive trains, as it guarantees a globally optimal solution. This paper investigates two major problems associated with the application of dynamic programming. The first problem is the high computational complexity. Iterative dynamic programming is proposed as an alternative to dynamic programming...
This paper presents, the impact of the pumped-storage (PS) unit on the static transmission network expansion planning problem (STNEP). The aim of this work is to minimize the total cost which is a summation of the transmission line cost, the fuel cost and the load curtailment cost. The load curtailment cost is included in the objective function to avoid the additional artificial generation. The proposed...
This Paper presents an Oppositional Biogeography-Based Optimization algorithm to solve complex Economic Emission Load Dispatch (EELD) problems of thermal power systems. Emission of NOx and SOx are considered for case studies. The proposed method is a modification over Biogeography-Based Optimization technique, designed to accelerate its convergence rate and to improve the quality of solution. This...
This paper presents a fuzzy controlled parallel particle swarm optimization approach based decomposed network (FCP-PSO) to solving the large economic power dispatch with non-smooth cost fuel functions. The proposed approach combines practical experience extracted from global database formulated in fuzzy rules, the adaptive PSO executed in parallel based in decomposed network procedure as a local search...
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