Research on the optimal capacity configuration of green storage microgrid based on the improved sparrow search algorithm DOI Creative Commons
Nan Zhu,

Xiaoning Ma,

Ziyao Guo

et al.

Frontiers in Energy Research, Journal Year: 2024, Volume and Issue: 12

Published: May 3, 2024

Green storage plays a key role in modern logistics and is committed to minimizing the environmental impact. To promote transformation of traditional green storage, research on capacity allocation wind-solar-storage microgrids for proposed. Firstly, this paper proposes microgrid configuration model, secondly takes shortest payback period as objective function, uses improved sparrow search algorithm (ISSA) optimization. Logistic-Tent compound chaotic mapping method added population initialization (SSA). Secondly, adaptive t-distribution mutation used improve discoverer, overall optimization ability improved. Finally, hybrid decreasing strategy adopted process vigilance position update. The ISSA can efficiency algorithm, avoid premature convergence enhance robustness which helpful better apply optimal storage. By analyzing results two typical days, system adapt dynamic requirements flexibility sustainability supply chain.

Language: Английский

Optimizing Microgrid Planning for Renewable Integration in Power Systems: A Comprehensive Review DOI Open Access

Klever L. Quizhpe,

Paúl Arévalo, Danny Ochoa-Correa

et al.

Electronics, Journal Year: 2024, Volume and Issue: 13(18), P. 3620 - 3620

Published: Sept. 12, 2024

The increasing demand for reliable and sustainable electricity has driven the development of microgrids (MGs) as a solution decentralized energy distribution. This study reviews advancements in MG planning optimization renewable integration, using Preferred Reporting Items Systematic Reviews Meta-Analyses methodology to analyze peer-reviewed articles from 2013 2024. key findings highlight integration emerging technologies, like artificial intelligence, Internet Things, advanced storage systems, which enhance efficiency, reliability, resilience. Advanced modeling simulation techniques, such stochastic genetic algorithms, are crucial managing variability. Lithium-ion redox flow battery innovations improve density, safety, recyclability. Real-time simulations, hardware-in-the-loop testing, dynamic power electronic converters boost operational efficiency stability. AI machine learning optimize real-time operations, enhancing predictive analysis fault tolerance. Despite these advancements, challenges remain, including integrating new improving accuracy, sustainability, ensuring system resilience, conducting comprehensive economic assessments. Further research innovation needed realize MGs’ potential global sustainability fully.

Language: Английский

Citations

5
Demand Response Model of Low‐Carbon Economy in Integrated Energy System Based on Carbon Flow Traceability DOI Creative Commons
Yu Liu, Xinmei Wang,

Songda Li

et al.

Engineering Reports, Journal Year: 2025, Volume and Issue: 7(4)

Published: April 1, 2025

ABSTRACT With the gradual liberalization of carbon market and distributed trading market, economic incentive mechanism has become an effective way to promote emission reduction in microgrids. At present, most existing studies on low‐carbon operation integrated energy systems focus source side rarely extend load side, do not consider demand response characteristics different loads. Therefore, based flow tracing method power system, this paper presents a model adjust operating state system by using price incentive. Firstly, is established, indexes such as node potential are obtained. same time, considering types, two loads established through trading. On basis, according index, two‐stage optimal scheduling network with coordination interaction between sides solved. The simulation results show that combines response, which can effectively reduce emissions significantly improve environmental benefits system.

Language: Английский

Citations

0
Research on capacity configuration optimization of integrated energy system by integrating energy hub and response surface methodology DOI
Yuanchao Liu,

Ruifan Zheng,

Rendong Shen

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 136348 - 136348

Published: May 1, 2025

Language: Английский

Citations

0
Research on the optimal capacity configuration of green storage microgrid based on the improved sparrow search algorithm DOI Creative Commons
Nan Zhu,

Xiaoning Ma,

Ziyao Guo

et al.

Frontiers in Energy Research, Journal Year: 2024, Volume and Issue: 12

Published: May 3, 2024

Green storage plays a key role in modern logistics and is committed to minimizing the environmental impact. To promote transformation of traditional green storage, research on capacity allocation wind-solar-storage microgrids for proposed. Firstly, this paper proposes microgrid configuration model, secondly takes shortest payback period as objective function, uses improved sparrow search algorithm (ISSA) optimization. Logistic-Tent compound chaotic mapping method added population initialization (SSA). Secondly, adaptive t-distribution mutation used improve discoverer, overall optimization ability improved. Finally, hybrid decreasing strategy adopted process vigilance position update. The ISSA can efficiency algorithm, avoid premature convergence enhance robustness which helpful better apply optimal storage. By analyzing results two typical days, system adapt dynamic requirements flexibility sustainability supply chain.

Language: Английский

Citations

1