M. R. Aghaebrahimi

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The Optimal sizing and placement of distributed generators has received considerable attention from researchers recently. An Immune Algorithm (IA) based optimization approach for solving the distributed generation (DG) placement problem is proposed in this paper. In the distributed generation placement problem, practical DG operating constraints including:(More)
Generation of electricity using wind power has received considerable attention worldwide in recent years but the short circuit current contribution of wind turbines has not received much attention so far. This paper considers the short circuit behaviour of induction generators in a wind farm considering wind speed changes and its influence on the wind farm(More)
The Optimal sizing and placement of distributed generators has received considerable attention from researchers recently. An Immune Algorithm (IA) based optimization approach for solving the distributed generation (DG) placement problem is proposed in this paper. In the distributed generation placement problem, practical DG operating constraints including:(More)
This paper presents the effective localization and sizing of the FACTS (Flexible AC Transmission Systems) devices in power system by HBMO (Honey-Bees Mating Optimization) algorithm. The aim of this paper is to reduce the generation costs, transmission costs, and costs of power losses. Other goals are improving the voltage profile of system and enhancing(More)
The necessity of solving multi dimensional complicated scientific problems beside the necessity of several objective functions optimization are the most motive reason of born of artificial intelligence and heuristic methods. In this paper, we introduce a new method for multiobjective optimization based on learning automata. In the proposed method, search(More)
Smart Grid is a new term dealing with intelligent, auto-balancing and self-monitoring power grids with minimal human intervention. Implementing this technology brings about reliability, high efficiency and economic benefits for the network. Moreover, through the control and management of power consumption, consumers will enjoy the benefits of cost reduction(More)
The Optimal sizing and placement of distributed generators has received considerable attention from researchers recently. This paper presents an extensive review of the different solution methods found in the literature and is intended as a guide for those interested in the problem or intending to do additional research in the area. The assumptions made and(More)
A novel application of neural network approach to fault classification and fault location of Medium voltage cables is demonstrated in this paper. Different faults on a protected cable should be classified and located correctly. This paper presents the use of neural networks as a pattern classifier algorithm to perform these tasks. The proposed scheme is(More)
Total transfer capability (TTC) represents the maximum power transfer between areas of a power system, while considering its constraints. In modern power systems, it is important to determine the TTC between different areas as it has become a very serious concern for grid designers. This index is used in the operation, design and electricity marketing(More)