new inteligent algorithm for EED Based on renewable energy in power system

Publish Year: 1395
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:

ICMRS02_028

تاریخ نمایه سازی: 5 بهمن 1395

Abstract:

Due to the environmental concerns that arise from the emissions produced by fossil-fueled electric power plants, the classical economic dispatch, which operates electric power systems so as to minimize only the total fuel cost, can no longer be considered alone. Thus, by environmental dispatch, emissions can be reduced by dispatch of power generation to minimize emissions. The environmental/economic dispatch problem has been most commonly solved using a deterministic approach. This paper addresses the effect of the wind power units into the classical Environment/Economic Dispatch (EED) model which called hereafter as Wind/Environment/Economic Dispatch problem. To solve this problem, this paper proposed a new meta-heuristic optimization algorithm based on Shark Smell Optimization (SSO). The robustness and effectiveness of this algorithm is shows by these test systems compared to other available algorithms.

Authors

Amin Zaheri

Department of Electrical Engineering, Ardabil Branch, Islamic Azad University, Ardabil, Iran

Ardashir Arash

Department of Electrical Engineering, Ardabil Branch, Islamic Azad University, Ardabil, Iran

Mohsen Nazarzadeh

Department of Electrical Engineering, Ardabil Branch, Islamic Azad University, Ardabil, Iran

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