Environmental and Economic Dispatch Model for Smart Microgrid Based on Shuffled Frog Leap Algorithm Optimized by Random Nelder Mead

摘要

As more and more distributed generation resources are integrated into the grid through smart micro-grid, achieving a more economic and better responsive distributed generation dispatch is of great importance. Economic and environmental characteristics of distributed generation are synthetically combined in a dispatch model with objective function of minimum generation cost and emission cost in this paper, and also a novel algorithm Shuffled Frog Leap Algorithm (SFLA) optimized by random Nelder Mead (RNM) model was proposed to solve the economic and environmental problem. At last, the differences in generation cost and Computation time of RNM-SFLA, Genetic Algorithm (GA), Evolutionary Programming (EP) and Shuffled Frog Leap Algorithm (SFLA) are compared with a numerical example, verifying the feasibility and advancement of environmental and economic dispatch model based on RNM-SFLA.%W artykule przedstawiono model przesy?u energii elektrycznej w systemie elektroenergetycznym, maj?cy na celu minimalizacj? kosztów wytwarzania i przesy?u energii. Zaproponowano tak?e nowy algorytm SFL (ang. Shuffled Frog Leap), który zosta! zoptymalizowany metod? Nelder'aa-Mead'a. Algorytm ma zastosowanie w rozwi?zywaniu zagadnień ekonomicznych i ?rodowiskowych. Przeprowadzona zosta?a analiza porównawcza opisanego modelu.