new inteligent algorithm for EED Based on renewable energy in power system
Publish Year: 1395
نوع سند: مقاله کنفرانسی
زبان: English
View: 415
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
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.
Keywords:
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
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :