Energy Management in a Micro-Grid with High Penetration of Renewable Resources Considering Emission Constraints
Publish place: 28th International Power System Conference
Publish Year: 1392
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
PSC28_342
تاریخ نمایه سازی: 25 اردیبهشت 1393
Abstract:
In recent years, renewable energies have become one of the most important sources of electrical energy. Their social and environmental benefits as well as economic issues result in further utilization of these energy resources. Moreover, it has become a challenging task for many modern utilities and energy management systems to derive an optimal operational plan for better utilization of renewable resources of energy regarding to different objectives. In this paper, a Modified Particle Swarm Optimization (MPSO) algorithm based on a fuzzy self-adaptive mechanism is utilized and implemented to solve the energy management problem in a typical micro-grid considering cost and emission as objectives. The algorithm is tested via several scenarios and its superior performance is compared to those from other multi-objective evolutionary algorithms such as Non-dominated Sorting Genetic Algorithm (NSGA II) and standard PSO
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Authors
Hassan Ghasemi
School of Electrical & Computer Engineering University of Tehran Tehran, Iran
Amjad Anvari-Moghaddam
School of Electrical & Computer Engineering University of Tehran Tehran, Iran