Joint Optimization of Renewable Energy Utilization and Multi-Energy Sharing for Interconnected Microgrids with Carbon Trading DOI Open Access
Jieqi Rong, Weirong Liu,

Nvzhi Tang

et al.

Electronics, Journal Year: 2024, Volume and Issue: 13(24), P. 4995 - 4995

Published: Dec. 19, 2024

Connecting microgrids can promote the sharing of multi-energy sources, reduce carbon emissions, and enhance consumption renewable energy. However, uncertainty energy coupling multiple sources makes management difficult in connected microgrids. To address challenges, a dual-layer framework for interconnected is proposed this paper. In bottom layer, load scheduling problem within one microgrid formulated to maximize utilization energy, which solved by an improved gray wolf algorithm with fast convergence effective optimum seeking. upper distributed dispatch strategy coordinate achieve trading. Combining dispatching, overall improved, operation cost emission are reduced. The simulation results on real-world datasets validate effectiveness method.

Language: Английский

Analysis of Energy Supply Scenarios Using Grid-Connected Hybrid Systems: Investigating Time-of-Use Demand Response Strategy for Improving Operational Performance DOI

Roshan Alirezaei,

Reza Dashti, Mojtaba Mirhosseini

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 134596 - 134596

Published: Jan. 1, 2025

Language: Английский

Citations

0
Exploring DC Microgrid: Advanced Applications and Their Control Strategies DOI

Cheikhelwely Elwely Salem,

Abdelilah Et-taleby, Yassine Chaibi

et al.

Energy 360., Journal Year: 2025, Volume and Issue: unknown, P. 100019 - 100019

Published: April 1, 2025

Language: Английский

Citations

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

et al.

Smart Grids and Sustainable Energy, Journal Year: 2024, Volume and Issue: 9(2)

Published: Dec. 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.

Language: Английский

Citations

1
Assessing the impacts of irrigation loads and capital subsidies on minigrids: A case study of Kenya DOI Creative Commons
Fhazhil Wamalwa,

Reagan Wafula,

Charles Kagiri

et al.

Renewable energy focus, Journal Year: 2024, Volume and Issue: unknown, P. 100675 - 100675

Published: Dec. 1, 2024

Language: Английский

Citations

1
Joint Optimization of Renewable Energy Utilization and Multi-Energy Sharing for Interconnected Microgrids with Carbon Trading DOI Open Access
Jieqi Rong, Weirong Liu,

Nvzhi Tang

et al.

Electronics, Journal Year: 2024, Volume and Issue: 13(24), P. 4995 - 4995

Published: Dec. 19, 2024

Connecting microgrids can promote the sharing of multi-energy sources, reduce carbon emissions, and enhance consumption renewable energy. However, uncertainty energy coupling multiple sources makes management difficult in connected microgrids. To address challenges, a dual-layer framework for interconnected is proposed this paper. In bottom layer, load scheduling problem within one microgrid formulated to maximize utilization energy, which solved by an improved gray wolf algorithm with fast convergence effective optimum seeking. upper distributed dispatch strategy coordinate achieve trading. Combining dispatching, overall improved, operation cost emission are reduced. The simulation results on real-world datasets validate effectiveness method.

Language: Английский

Citations

1