Optimal Planning of Intelligent Parking IoT Using Interval Particle Swarm Optimization Algorithm in the Presence of Fuel cell and Electrolyzer as Hydrogen Storage System

Guobin Yan; Shunlei Li

Volume 1, Issue 1 , February 2022, , Pages 1-14


  Recently, the application of the intelligent parking lot (IPL) in the power market has been exponentially increasing to decrease the greenhouse gasses, the pollution, and to decrease the deviation cost of the energy production based on electric vehicles (EV). IPLs uses charge and discharge features of ...  Read More

Determining an Optimum Size Level of Gas Turbine for a Hybrid SOFC-Gas Turbine System Based on a New Improved Bio-inspired Technique

Caiyuan Xiao; Guiju Zhang

Volume 1, Issue 1 , February 2022, , Pages 15-29


  This paper presents an analysis of improving the efficiency of a hybrid solid oxide fuel cell (SOFC) and a micro gas turbine (mGT) system. The main reason for using SOFC technology is the generation of its less harmful products with higher performance compared to the traditional power generation systems. ...  Read More

Optimal Energy Demand Forecasting for Systems by Improved Manta Ray Foraging Optimizer: A Case Study in Taiwan

Haoran Fu; Huahui Li; T. Ramayah

Volume 1, Issue 1 , February 2022, , Pages 30-45


  A new methodology is suggested in this study for providing an optimum energy demand forecasting for the future projections. The paper presents an improved version of manta ray foraging optimizer (iMRFO) for giving an optimum and suitable forecasting model. The model designing has been done on Taiwan ...  Read More

Improved Convolutional Neural Network based on Modified Search and Rescue Optimizer for Predicting Iron Ore Price Volatility

Lin Yongxing; Si Yanru

Volume 1, Issue 1 , February 2022, , Pages 46-60


  One of the most widely used metals in the world is the Iron. The world cost of iron ore is defineded by its supply and demand. Numerous variabes such as steel, scrap, oil, gold, interest rate, inflation rate, dollar value, and stock value affect the world price of iron ore. Therefore, for economic investment ...  Read More

Design of Direct Torque Controller for DFIG Based Wind Turbine Using SVM

Huo Dongdong

Volume 1, Issue 1 , February 2022, , Pages 61-72


  In this paper, a control approach for direct control of the wind turbine torque based on a doubly-fed induction generator using space vector modulation and matrix convertor control method is presented and also evaluated. The goal of many conventional torque control methods is creating a sinusoidal current ...  Read More

Electric vehicles uncertainties in smart grid through demand response, PV, fuel cell, wind power and emission

Giorgos Jimenez

Volume 1, Issue 1 , February 2022, , Pages 73-104


  Environment and financial matters provide careful attention to electric vehicles (EV) and economical power resource benefits. There is an answer suggestion for increasing the effect of this benefit that is using the Potential of electric vehicles. The capacity for electric vehicles needs getting ready ...  Read More

IoT-based Automated Vehicle Plate Detection Algorithm for Urban Surveillance Systems by A New Hybrid Optimized CNN

Dong Sun

Volume 1, Issue 2 , April 2022, , Pages 105-115


  One of the important and more challenging categories in the smart cities and IoT is to monitor the vehicles plate licenses. This system is a key factor in most of the traffic monitoring in the IoT based smart city applications. In this research, a method for plate license recognition based on optimal ...  Read More

Optimal Designing of the Capacity and the Operation of the CCHP System Using Balanced Collective Animal Behavior Algorithm: A Case Study

Roza Gholamin

Volume 1, Issue 2 , April 2022, , Pages 116-129


  The combined heating, cooling, and power source (CCHP) system is a good tool for the optimal consumption of fossil fuel thermal energy. In CCHPs, the produced waste heat from the hot gases can be recycled for generating power, heat, and water cooling and oil in electrical power generation systems which ...  Read More

Optimal Configuration of a Hybrid Wind/PV/Fuel Cell to Achieve an Economic Renewable Energy by Optimal Sizing of the Components Using Adaptive Wildebeest Herd Optimization Algorithm

Majid Khayatnezhad

Volume 1, Issue 2 , April 2022, , Pages 130-146


  Renewable energy technology is quickly developing in last decades due to the increasing attention of countries to sustainable and clean energy, and is constantly evolving in terms of technology. Nevertheless, there are obstacles to this case, such as rising costs and declining reliability due to the ...  Read More

A New Optimization Approach for Modifying an Off-Grid Hybrid PV/DG/Battery System: A Case Study

Rolando Simoes

Volume 1, Issue 2 , April 2022, , Pages 147-165


  The off-grid electricity production is a method of supplying energy to commercial, industrial, residential, and rural or remote regions, which is often the grid connecting is unfeasible because of its difficult regional location and the staggering transmitting cost. In cases like this, the application ...  Read More

Payment cost minimization solution based on an intelligent algorithm in power system

Saleh Mobayen

Volume 1, Issue 2 , April 2022, , Pages 166-182


  Several methods have been proposed for sale and payment mechanisms in electricity markets; but, appropriate evaluation of this mechanisms is so difficult. The offer cost minimization (OCM) has been presented previously for solving this problem which minimizes the total offer cost through the evaluation ...  Read More

Hybrid Modified Sparrow Search Algorithm and Sequential Quadratic Programming for Solving the Cost Minimization of a Hybrid PV/DG/BESS

Huahui Li; Haoran Fu

Volume 1, Issue 2 , April 2022, , Pages 183-195


  A hybrid PV/battery/DG energy production system is configured and optimized in this study for powering a network of a remote rural of china. The target of system design is to minimize the system’s fuel costs subject to the load demanded (LD) and several limitations. Thus, the concept comprises ...  Read More

Optimal Modeling and Optimizing of a New Biogas Production Configuration based on a Neural Network Optimized by Developed Version of Monarch Butterfly Optimization Algorithm

Myo Thwin

Volume 1, Issue 3 , September 2022, , Pages 196-207


  In this study, a new optimized version of multi-layer perceptron neural network has been used for modeling achieving an optimized configuration in biofuel production process. 25 semi-pilot fermentation runs are used to determine the best arrangement of percentage selection for the combined substrate ...  Read More

Multi-objective Optimization of a Micro-turbine and SOFC Hybrid System using Balanced Manta Ray Foraging Optimization Algorithm

Nasser Yousefi

Volume 1, Issue 3 , September 2022, , Pages 208-225


  In this study, economic, environmental, and technical optimization of a hybrid Microturbine-Solid Oxide Fuel Cell (SOFC) system is performed in a full load for the distributed generated electricity. To achieve better results, a new modified metaheuristic, called Balanced Manta Ray Foraging Optimization ...  Read More

Improved Student Psychology Based Optimization Algorithm for Optimizing a Hybrid PV-Diesel-Battery system for a Remote Region located in China

Zumrat Druzhinin

Volume 1, Issue 3 , September 2022, , Pages 226-242


  A new optimal hybrid solar/diesel/battery system was suggested in this paper for covering the load demand in a rural area in Taklamakan Desert located in China. The major idea is to design a new improved version of the Student Psychology Based Optimization Algorithm for minimizing the load probability ...  Read More

Modified Farmland Fertility Optimization Algorithm for Optimal Sizing of Gas Engine in a CCHP system using 4E Analysis

Mohammad Mohammaditab

Volume 1, Issue 3 , September 2022, , Pages 243-258


  This paper proposes a new methodology for optimal sizing of a combined cooling heating and power (CCHP) system with a gas turbine as its primary mover in a residential building in Xihu area in Hangzhou, Zhejiang, China. Due to the significant impact of four substantial parameters including energetic, ...  Read More

Flexible optimum sizing of a hybrid renewable power system based on Metaheuristics in the presence of storage system

Giorgos Jimenez

Volume 1, Issue 3 , September 2022, , Pages 259-269


  This paper addresses one of the most important challenges in utilization of renewable energy source the design of a system that incorporates this type of energy sources, which is the size determination of system component. A meta-model of hybrid renewable power system is studied here which can include ...  Read More

Multi-criteria Optimization of a CCHP System Using Balanced Tree Growth Algorithm

Antonella Pasternak

Volume 1, Issue 3 , September 2022, , Pages 270-285


  The main idea of this paper is to multi-criteria optimal designing of a combined cooling, heat and power (CCHP) system in an industrial unit by considering cooling loads, electricity, and heating. Different scenarios such as selling scenarios, no-selling scenario, as well as the possibility of electricity ...  Read More

Optimization of Combined Cooling, Heating, And Power System using Amended supply-demand-based optimizer

Hamid Asadi Bagal; Maryam Nasseri

Volume 1, Issue 4 , December 2022, , Pages 286-302


  The required cold and heat are supplied by recycling the heat lost from the stimulus in combined cooling, heating, and power (CCHP) generation system. The present study proposes a new optimal arrangement for a CCHP system for annual dynamic simulation. This study uses CCHP system to design a separated ...  Read More

Optimum Sizing of CCHP System using Modified Group Teaching Optimization Algorithm

Achla Anderson

Volume 1, Issue 4 , December 2022, , Pages 303-318


  A new technique is prsented in this paper for optimum design of a combined cooling heating and power (CCHP) system. The prime mover in this study is a gas turbine and this is designed for a rural area in Zhaoping County, Guangxi, China. The effectiveness of the method is assessed based on four main parameters: ...  Read More

Developing Hierarchical RBF Neural Network for Model Identification of SOFCs using a Developed Coronavirus Herd Immunity Algorithm

Antonella Pasternak; Charis Bresser

Volume 1, Issue 4 , December 2022, , Pages 319-332


  A new Blackbox technique has been presented in the current paper for model estimation of the solid oxide fuel cells (SOFCs) for providing better results. The proposed method is based on a Hierarchical Radial Basis Function (HRBF). The presented method is then developed by a new modified metaheuristic, ...  Read More

Improved Mayfly Algorithm for Optimal Design of Hybrid PV/Diesel Generator along with Battery: Application to Shilisha Village in Maowusu Desert, China

Scott Mizzi

Volume 1, Issue 4 , December 2022, , Pages 333-348


  This paper presents an optimal size selection of a hybrid renewable PV/DG/Battery system in a remote area in Maowusu Desert, China. The idea is to select optimal numbers of PV panels, DGs, and battery storage units by minimizing of the total annual cost of the hybrid system. The optimization of the problem ...  Read More

Optimal Configuration of a HRES system by Amended Rain Optimizer

Andrea Settanni; Giorgos Jimenez

Volume 1, Issue 4 , December 2022, , Pages 349-363


  In this paper, a new technical and economic analysis for a hybrid system of energy has been performed. The study presents a new procedure for optimal modeling of the hybrid renewable energy system (HRES). The main idea is to optimize the hybrid system configuration based on a multiple-criteria optimization, ...  Read More

Optimum Structure for a CCHP System by Amended Coyote Optimizer

Francis Abza

Volume 1, Issue 4 , December 2022, , Pages 364-378


  The present study proposes a new optimal configuration of a combined cooling, heating, and power (CCHP) system for annual dynamic simulation. To provide higher efficiency from the CCHP system, a new enhanced bio-inspired algorithm, namely Amended Coyote Optimizer is designed and utilized. The proposed ...  Read More