M
Mojtaba Najafi
Researcher at Islamic Azad University
Publications - 40
Citations - 196
Mojtaba Najafi is an academic researcher from Islamic Azad University. The author has contributed to research in topics: Computer science & Fault (power engineering). The author has an hindex of 6, co-authored 33 publications receiving 114 citations. Previous affiliations of Mojtaba Najafi include Islamic Azad University, Science and Research Branch, Tehran.
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Calculating the locational marginal price and solving optimal power flow problem based on congestion management using GA-GSF algorithm
TL;DR: Genetic algorithm has been employed to solve power flow equations, and generating scaling factor (GSF) has also been used for simultaneous calculations of power passing through in transmission lines so that by gaining some knowledge on the capacity of transmission lines, the electricity price could be determined by uniform market pricing or LMP methods.
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Optimal reserve capacity allocation with consideration of customer reliability requirements
TL;DR: In this paper, an algorithm for determining optimal reserve capacity in a power market is presented in which the optimization process in the proposed algorithm is based on the cost-benefit trade off, and market clearance is executed with consideration of uncertainties of power system components in an aggregated environment.
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Probabilistic planning for participation of virtual power plants in the presence of the thermal power plants in energy and reserve markets
TL;DR: The proposed model includes a series of probabilistic scenarios used to consider the uncertainty of wind/solar generation and determines the status of VPP units based on the best-case scenarios and the VPP profitability calculated for the day-ahead energy and reserve market.
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Fault Location in the Transmission Network Using Artificial Neural Network
TL;DR: Simulation results show that the maximum scales of horizontal components and the energy stored in these components strongly depend on the fault resistance, type of fault, fault angle and fault location, and results indicate that the proposed algorithm can estimate fault distance depending on thetype of fault in different conditions.
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Real Fault Section Estimation in Electrical Distribution Networks Based on the Fault Frequency Component Analysis
TL;DR: In this paper, the authors proposed an intelligent fault location method based on the impedance and transient state estimation for electric energy distribution networks, where the minimum information is available and only information at the beginning of the feeder is used.