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The Arithmetic Optimization Algorithm for Optimal Energy Resource Planning
(IEEE, 2021)
This study presents a new formulation regarding optimal placement and sizing of multi-type distributed generations (DGs) and energy storage systems (ESSs) to enhance the reliability of a radial distribution system and to ...
Power Output Prediction of Wave Farms Using Fully Connected Networks
(IEEE, 2021)
One of the most important factors in the amount of power generated by a wave farm is the Wave Energy Converters (WECs) arrangement along with the usual wave conditions. Therefore, forming an appropriate arrangement of WECs ...
Analysis of Local and Centralized Control of PV Inverters for Voltage Support in Distribution Feeders
(IEEE, 2021)
Higher photovoltaic penetration on distribution system brings operational challenges including overvoltage issues. With smart inverters, efficient voltage control can be achieved through adjusting active/reactive powers ...
Optimization of Multilevel Inverters Using Novelty-driven Multi-verse Optimization Algorithm
(IEEE, 2021)
All over the world, renewable energy technologies which need power electronics based inverters in their designs are becoming more and more popular, thus detailed analysis to test the operational efficiency is required. ...
Multi-objective Distributed Energy Resource Integration in Radial Distribution Networks
(IEEE, 2021)
Despite numerous studies on the optimal design and planning of distribution networks (DNs), little attention has been paid to improving the reliability of the distribution systems through optimal operation and planning of ...
Allocation of Distributed Generators Using Parallel Grey Wolf Optimization
(IEEE, 2021)
This paper solves the allocation problem of distributed generators (DGs) in smart grids utilizing a grey wolf optimization (GWO) algorithm. By parallelizing GWO, it presents the impact of using various number of processors ...