Mohammad R Aghaebrahimi

University of Birjand · Department of Power Engineering

With the establishment of the smart grids platform, demand response (DR) programs have improved the operation and reliability of the power grid by increasing the participation of customers. This article investigates the issue of bidding strategy for an electricity retailer, which interacts with a set of residential customers. In this environment, t...

The main purpose of this study is to support a retail electric provider (REP) to make the best day-ahead dynamic pricing decisions in a realistic scenario. These decisions are made with the aim of maximizing the profit achieved by the REP under the assumption that mixed types of customers with different behaviors in the electricity market are consi...

The increasing contribution of wind turbine generators (WTGs) in power grids requires the control of wind generators and their impacts on the load frequency control (LFC). In this study, a detailed strategy for the control of WTGs in a smart power grid for LFC is presented. The WTGs are controlled by applying fuzzy logic controller with three input...

Nowadays, regarding high percentage of wind power penetration in power systems, operating conditions of power system necessitates wind turbine generators (WTGs) to contribute in frequency regulation of the system, similar to the conventional units. To reach this goal, active power output of WTGs must be controlled, but this issue distances the oper...

The purpose of this paper is to propose a novel design for the transverse flux permanent magnet (TFPM) disk-rotor generator with E and I-shaped cores (TFPMDEIG). Disk-shape structure increases the machine's power factor, allows for high rotational speeds, decreases centrifugal force over permanent magnets, and is employed in wind turbines, due to i...

Similarly to other optimization algorithms, harmony search (HS) is quite sensitive to the tuning parameters. Several variants of the HS algorithm have been developed to decrease the parameter-dependency character of HS. This article proposes a novel version of the discrete harmony search (DHS) algorithm, namely fuzzy discrete harmony search (FDHS),...

In this paper, a consistent pattern with the optimal coordinated design of PSS and SSSC controller to improve the damping of low frequency oscillations is shown. In this design, sensing and signal transmission time delays are considered as effectiveness parameters. The design problem has been considered an optimization problem and biogeography-base...

In near future, electrification of transportation fleet will become an important solution to reduce environmental pollution. By employing various strategies for electric vehicle operation, electric vehicle parking lots (EVP) play two roles as the load and the energy generating source for distribution networks. So, the location of these parking lots...

SUMMARY Higher penetration of distributed generation in distribution systems makes the islanding operation more realistic. In this paper, an adequacy assessment is presented in the presence of wind energy sources in distribution system for an islanded area. Wind speed simulation is performed using auto-regressive moving average time series. For ade...

With the emergence of smart grids, customers have become capable of reacting to the fluctuations in electricity price. Therefore, electricity price is a key element in optimum demand side management (DSM) in this environment. Accurate short-term forecasting of electricity price is of great importance for the market participants. However, due to the...

With the emergence of competitive markets in the world over the past two decades, the price of electricity has become a key factor in this environment. Using an accurate model for short-term price forecasting in the competitive environment of electric industry helps the market participants in investing and planning for short-term contracts and gett...

In this paper, VIT smart switches are introduced and their effect on improving the reliability of distribution networks is reviewed on an actual feeder. The results of this analysis are compared with those of the network without this equipment and its effect on the reliability indices is presented. This is done through numerical calculations and ne...

In recent years, there has been a fast development in the implementation of Distributed Generation (DG) due to several reasons such as remarkable growth in energy consumption, the increase in fossil fuel prices and environmental concerns. Despite its economic and technological benefits, large amounts of DG penetration into distribution grids have a...

In this study, the optimal design of spacers and fiber glass layer of a metal oxide surge arrester is presented in order to achieve a more uniform electric field distribution, inside and outside the arrester. This is done by using intelligent algorithms and numerical analysis, i.e., Finite Element Method (FEM). The introduced method can be used in...

Accurate and effective electricity price forecasting is critical to market participants in order to make an appropriate risk management in competitive electricity markets. Market participants rely on price forecasts to decide on their bidding strategies, allocate assets and plan facility investments. However, due to its time variant behavior and no...

In this paper the optimal design of grading ring of a metal oxide surge arrester is presented in order to uniform the electric field distribution, inside and outside of arrester, using intelligent algorithms and numerical analysis, i.e. Finite Element Method (FEM). The introduced method can be used in order to determine the optimal dimension of gra...

Recently, wind energy penetration in power grids has increased in comparison with other renewable energy sources. With development of wind turbine manufacturing technologies, wind energy prices have become comparable with those of conventional energy sources. The stochastic and variable nature of wind speed causes the output power and terminal volt...

This paper presents a technique, based on discrete wavelet transform (DWT) and back-propagation neural network (BPNN), to find the fault location on single circuit transmission lines. The proposed method has been applied to IEEE 9-bus test system. In order to go through this, MATLAB was used to apply DWT on the signal of fault currents of all the e...

Improvement in power system reliability is considered today to be one of the main system planning needs. Meanwhile, there is a growing tendency toward reliability studies considering renewable energies. In this article, for reliability assessment of a power system including wind power, an analytical method based on the frequency and duration approa...

High penetration of distributed generation in distribution networks makes the islanding operation more realistic. Because of environmental concerns and increasing fuel prices, the use of renewable energies, particularly wind energy, is becoming a popular choice. In this article, a new algorithm using the Monte Carlo technique and adaptive load shed...

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...

High penetration of distributed generation (DG) in distribution networks makes the islanding operation more realistic. Due to environmental concerns and fuel prices, the use of renewable energies, particularly wind energy, is becoming a popular choice. In this paper, a new algorithm using Monte Carlo technique and adaptive load shedding for assessi...

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 behavior of induction generators in a wind farm considering wind speed changes and its influence on the wi...

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 in...

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 in...

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...

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,...

In this paper a data miner based on the learning automata is proposed and is called LA-miner. The LA-miner extracts classification rules from data sets automatically. The proposed algorithm is established based on the function optimization using learning automata. The experimental results on three benchmarks indicate that the performance of the pro...

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 w...

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 sche...

A novel application of fuzzy-neuro approach to protection of double circuit transmission line is demonstrated in this paper. Different system faults on a protected transmission line should be detected and classified rapidly and correctly. Using the proposed approach, fault detection, classification and faulted phase selection could be achieved with...

This paper presents the design of a novel method for improvement of the operation of distance relays during capacitive voltage transformer transients using artificial neural network. The proposed module uses voltage and current signals to learn the hidden relationship existing in the input patterns. Simulation studies are preformed and the influenc...

This paper presents the application of the fuzzy-neuro method to investigate transformer inrush current. Recently, the frequency environment of power systems has been made more complicated and the magnitude of the second harmonic in inrush current has been decreased because of the improvement of cast steel. Therefore, traditional approaches will li...

This paper presents an artificial neural network (ANN) based approach to improve the performance of distance relaying algorithm. The proposed distance relay uses amplitudes of voltages and currents signals to learn the hidden relationship existing in the input patterns. Simulation studies are preformed and the influence of changing system parameter...

In this paper, a specially designed air-core transformer, to be employed in a small power tapping scheme for HVDC transmission systems, is studied. First, the transformer is analyzed by classical electromagnetic theory. Next, a small prototype transformer is built and studied in the laboratory. Experimental results, confirm the validity and accurac...

This paper deals with the issue of small power tapping from HVDC transmission systems. Based on the availability of powerful solid-state devices in the market, a novel solution is proposed and studied. The proposed scheme is digitally simulated by the aid of the EMTDC/PSCAD software package. Simulation results indicate the feasibility of the propos...

In this paper, the dual wound synchronous machine is studied from the circuit point of view. The dqo transformation is applied to the general equations of the machine and power and torque formulae are developed. Equivalent circuits are proposed to represent the transient and the steady state behavior of the machine. Finally, a digital model, develo...

In this paper, a specially designed air-core power transformer, to be employed in a small power tapping scheme from HVDC transmission systems, is studied. First, the transformer is analyzed by classical electromagnetic theory. Next, a small prototype transformer is built and studied in the laboratory. Experimental results, confirm the validity and...

Ever since the High Voltage Direct Current (HVDC) Transmission Systems were developed and utilized in power systems, power tapping from these transmission systems, be it for supplying isolated communities and/or loads in the vicinity of the transmission system, or to pick up dispersed generation, has presented formidable technical, as well as econo...

In this paper, the problem of small power tapping from HVDC transmission systems is presented, and a practical solution, based on the solid state devices currently available in the market, is proposed. The proposed scheme, is then digitally simulated with the aid of the EMTDC/PSCAD software package. Simulation results prove the practicality of the...

This paper presents a new approach for busbar protection with stable operation of current transformer during saturation, using fuzzy neuro and symmetrical components theory. This technique uses symmetrical components of current signals to learn the hidden relationship existing in the input patterns. Simulation studies are preformed and the influenc...