A Novel Political Optimizer Integrated with ThingSpeak Platform for Multi-Objective Energy Management in Microgrids DOI Creative Commons

Karim M. Hassanin,

Diaa‐Eldin A. Mansour, Takeyoshi Kato

и другие.

Smart Grids and Sustainable Energy, Год журнала: 2024, Номер 9(2)

Опубликована: Дек. 9, 2024

Microgrids (MGs) play a crucial role in the electrification of urban and rural areas due to continuous growth power demand. Introducing Renewable Energy Sources (RESs) into electricity sector significantly helps decrease operational costs emissions from conventional generation, especially when installed MGs near customers, reducing transmission losses costs. Incorporating RESs with different Distributed Generators (DGs) creates critical need for an Management System (EMS) coordinate distribute among them. Additionally, sudden changes load demand, RES outputs, other system conditions require real-time monitoring various components parameters. Therefore, this paper proposes newly developed Political Optimizer (PO) integrated Internet Things (IoT) technology ThingSpeak platform address simulate multi-objective energy management problem. The aim is minimize total generation treatment expenses while maintaining supply-demand balance providing customers required consistently, reliably, efficiently. proposed MG comprises DGs dispatch power, such as Fuel Cells (FC), Gas Turbines (GT), (Photovoltaics Wind Turbines), Conventional Diesel (CDG), main grid. grid operates both active passive modes operation. PO, combined IoT ThingSpeak, successfully minimized expenses. results obtained demonstrated effectiveness efficiency EMS, it was compared algorithms outperformed them, achieving lowest all test cases, reductions reaching 10% some cases.

Язык: Английский

Fuzzy logic-supported building design for low-energy consumption in urban environments DOI Creative Commons

M. Arun,

Cristina Efremov, Van Nhanh Nguyen

и другие.

Case Studies in Thermal Engineering, Год журнала: 2024, Номер unknown, С. 105384 - 105384

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

7
Experimental Investigation of Power Management and Control of a Lab-Scale Lvdc Microgrid-Based Pv, Battery and Supercapacitors DOI

Soundous Remache,

Seif El Islam Remache,

Kamel Barra

и другие.

Опубликована: Янв. 1, 2025

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Язык: Английский

Процитировано

0
The optimization study of user and renewable energy integration scheme in medium and low-voltage distribution networks based on deep learning DOI Creative Commons

Y. P. Lu,

Weilin Liu, Tianlin Wang

и другие.

International Journal of Low-Carbon Technologies, Год журнала: 2025, Номер 20, С. 1092 - 1103

Опубликована: Янв. 1, 2025

Abstract In response to the growing integration of renewable energy and electric vehicle loads in distribution networks, this paper presents an optimized access scheme leveraging deep learning. We propose a Multi-Scale Topology-Aware Graph Neural Network (MT-GNN) capture spatial electrical characteristics network, coupled with spatiotemporal feature fusion module utilizing dual attention mechanism handle dynamic load generation uncertainties. An end-to-end multitask learning framework integrates location, capacity, timing decisions, enhanced by Soft Actor-Critic reinforcement for adaptive strategy optimization. Experimental results demonstrate superior reliability economic performance under uncertain conditions.

Язык: Английский

Процитировано

0
Efficient energy management using fuzzy logic control in a gym microgrid with stationary bikes, PV generation, and battery storage systems DOI Creative Commons
Abdelfattah El Azzab, Abdelmounime El Magri, Ilyass El Myasse

и другие.

Scientific African, Год журнала: 2025, Номер unknown, С. e02674 - e02674

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
A Novel Political Optimizer Integrated with ThingSpeak Platform for Multi-Objective Energy Management in Microgrids DOI Creative Commons

Karim M. Hassanin,

Diaa‐Eldin A. Mansour, Takeyoshi Kato

и другие.

Smart Grids and Sustainable Energy, Год журнала: 2024, Номер 9(2)

Опубликована: Дек. 9, 2024

Microgrids (MGs) play a crucial role in the electrification of urban and rural areas due to continuous growth power demand. Introducing Renewable Energy Sources (RESs) into electricity sector significantly helps decrease operational costs emissions from conventional generation, especially when installed MGs near customers, reducing transmission losses costs. Incorporating RESs with different Distributed Generators (DGs) creates critical need for an Management System (EMS) coordinate distribute among them. Additionally, sudden changes load demand, RES outputs, other system conditions require real-time monitoring various components parameters. Therefore, this paper proposes newly developed Political Optimizer (PO) integrated Internet Things (IoT) technology ThingSpeak platform address simulate multi-objective energy management problem. The aim is minimize total generation treatment expenses while maintaining supply-demand balance providing customers required consistently, reliably, efficiently. proposed MG comprises DGs dispatch power, such as Fuel Cells (FC), Gas Turbines (GT), (Photovoltaics Wind Turbines), Conventional Diesel (CDG), main grid. grid operates both active passive modes operation. PO, combined IoT ThingSpeak, successfully minimized expenses. results obtained demonstrated effectiveness efficiency EMS, it was compared algorithms outperformed them, achieving lowest all test cases, reductions reaching 10% some cases.

Язык: Английский

Процитировано

0