Volume 13 (2025)
Volume 12 (2024)
Volume 11 (2023)
Volume 10 (2022)
Volume 9 (2021)
Volume 8 (2020)
Volume 7 (2019)
Volume 6 (2018)
Volume 5 (2017)
Volume 4 (2016)
Volume 3 (2015)
Volume 2 (2014)
Volume 1 (2013)
The Comparing Between Genetic Algorithm and Neural Network to Compute of Three-Basic Solar Cell Parameters with Wide Range of Measured Temperature

Z. K. Gurgi; A. I. Ismael; R. A. Mejeed

Volume 12, Issue 2 , April 2024, , Pages 134-141


  Solar cell efficiency considers an important part of the PV system, the parameters (Io, IL, n, Rs, and Rsh) of solar cell is the main part that effected on efficiency. The Matlab simulation program was used to estimate the three parameters' optimization values and evaluated by the Fminsearch method, ...  Read More

Modeling and Optimizing the Charge of Electric Vehicles with Genetic ‎Algorithm in the Presence of Renewable Energy Sources

S. Chupradit; G. Widjaja; S. J. Mahendra; M. H. Ali; M. A. Tashtoush; A. Surendar; M. M. Kadhim; A. Y. Oudah; I. Fardeeva; F. Firman

Volume 11, Issue 1 , April 2023, , Pages 33-38


  In recent years, as a result of remarkable increase in energy industry, discrimination between lower and higher loads as well as economic crisis which pestered a majority of countries; hence the usage of power plants became a significant issue. In addition, growing consumption of power and inexistence ...  Read More

Application of Automatic Control in Power System
An Application of the Genetic Algorithm Optimization to Voltage and Reactive Power Control in the Distribution Systems

A.S. Altuma; R. Khalid; A.I. Alanssari; A. Hussien; Y.S. Mezaal; K. Al-Majdi; T. Alawsi

Volume 11, Special Issue , March 2023


  Insufficient synchronization between the operational efficiency of capacitors and tap-changer transformers in regulating voltage presents a fundamental challenge in distribution networks, which in turn hinders the control performance. This challenge is caused by the inability of these two components ...  Read More

Application of Automatic Control in Power System
Optimizing the Energy Consumption of an Electric Motor System Incorporates Hybrid Electric Energy Generators Using a Genetic Algorithm

А. Sadratdin; W.K. Al-Azzawi; B.M. Ali; A.N. Obeed; N.A. Hussien; A.M. Shareef; Kadhum Al-Majdi; A.S. Ibrahim

Volume 11, Special Issue , March 2023


  This study investigates a hybrid electric system that utilizes novel energy sources and is subject to variable production and uncertainty. The study proposes a multi-objective optimization methodology using Genetic Algorithm (GA) to optimize energy source consumption and utilization, accounting for variations ...  Read More

Optimal Allocation of PV-STATCOM to Improve the Operation of Active Distribution Network

A.M. Alee; S. Golshannavaz; T. Ghanizadehbolandi; V. Talavat

Volume 11, Special Issue , March 2023


  This paper presents a novel method to improve the efficiency of active distribution networks (ADNs) by optimal placement of distributed energy resources (DERs) and utilizing the unused capacity of inverter-interfaced photovoltaic (PV) units for reactive power compensation. After investigating the mathematical ...  Read More

An Improved FOC Strategy for Speed Control of Induction Motor Drives Under ‎an Open-Phase Fault Using Genetic Algorithm ‎

M. Shabandokht-Zarami; M. Ghanbari; E. Alibeiki; M. Jannati

Volume 10, Issue 1 , April 2022, , Pages 80-89


  The Vector Control (VC) of Y-Connected Induction Motor (YCIM) drives is entirely demanding task. Furthermore, YCIM under an Open-Circuit Fault in the Stator Coils (OCFSC) leads to deterioration of the VC. Consequently, the VC of YCIMs under an OCFSC requires a suitable design. This research focuses on ...  Read More

Distribution Systems
Optimal Scheduling of Battery Energy Storage System in Distribution Network Considering Uncertainties using hybrid Monte Carlo- Genetic Approach

R. Afshan; J. Salehi

Volume 6, Issue 1 , June 2018, , Pages 1-12


  This paper proposes a novel hybrid Monte Carlo simulation-genetic approach (MCS-GA) for optimal operation of a distribution network considering renewable energy generation systems (REGSs) and battery energy storage systems (BESSs). The aim of this paper is to design an optimal charging /discharging scheduling ...  Read More

Power System Operation
Degree of Optimality as a Measure of Distance of Power System Operation from Optimal Operation

S. Halilčević; I. Softić

Volume 6, Issue 1 , June 2018, , Pages 69-79


  This paper presents an algorithm based on inter-solutions of having scheduled electricity generation resources and the fuzzy logic as a sublimation tool of outcomes obtained from the schedule inter-solutions. The goal of the algorithm is to bridge the conflicts between minimal cost and other aspects ...  Read More

Design System & Algorithm
Solving Multi-objective Optimal Power Flow Using Modified GA and PSO Based on Hybrid Algorithm

R. Effatnejad; H. Aliyari; M. Savaghebi

Volume 5, Issue 1 , June 2017, , Pages 51-60


  The Optimal Power Flow (OPF) is one of the most important issues in the power systems. Due to the complexity and discontinuity of some parameters of power systems, the classic mathematical methods are not proper for this problem. In this paper, the objective function of OPF is formulated to minimize ...  Read More

Application of an Improved Neural Network Using Cuckoo Search Algorithm in Short-Term Electricity Price Forecasting under Competitive Power Markets

H. Taherian; I. Nazer; E. Razavi; S. R. Goldani; M. Farshad; M. R. Aghaebrahimi

Volume 1, Issue 2 , November 2013, , Pages 136-146

  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. ...  Read More

Power System Stability Improvement via TCSC Controller Employing a Multi-objective Strength Pareto Evolutionary Algorithm Approach

M. Darabian; S. Jalilzadeh; M. Azari

Volume 1, Issue 1 , June 2013, , Pages 33-42

  This paper focuses on multi-objective designing of multi-machine Thyristor Controlled Series Compensator (TCSC) using Strength Pareto Evolutionary Algorithm (SPEA). The TCSC parameters designing problem is converted to an optimization problem with the multi-objective function including the desired damping ...  Read More