A configuration and scheduling optimization method for integrated energy systems considering massive flexible load resources DOI Creative Commons
Zihao Wang, Shouyang Wang, Hanwen Ni

et al.

Frontiers in Energy Research, Journal Year: 2025, Volume and Issue: 13

Published: March 19, 2025

Introduction: With the increasing demand for energy utilization efficiency and minimization of environmental carbon emissions in industrial parks, optimizing configuration scheduling integrated systems has become crucial. This study focuses on with massive flexible load resources, aiming to maximize while reducing impact. Methods: To model uncertainties wind solar power outputs, we employed three-parameter Weibull distribution models Beta models. Flexible loads were categorized into three types match different electricity consumption patterns. Additionally, an enhanced Kepler Optimization Algorithm (EKOA) was proposed, incorporating chaos mapping adaptive learning rate strategies improve search scope, convergence speed, solution efficiency. The effectiveness proposed optimization methods validated through a case park located coastal area southeastern China. Results: results show that using more accurately reflects variations actual speeds irradiance levels, achieving peak shaving valley filling effects enhancing renewable utilization. EKOA algorithm significantly reduced curtailment rates generation substantial economic benefits. Compared other operation modes hydrogen, daily average cost is by 12.92%, external purchases are 20.2 MW h/day. Discussion: Although our approach shows potential improving gains, this paper only considered hydrogen single-use pathways did not account benefits from selling market. Future research will further incorporate response mechanisms optimize output perspective spot markets. These findings provide valuable references relevant engineering applications.

Language: Английский

Optimal scheduling of electricity-hydrogen-thermal integrated energy system with P2G for source-load coordination under carbon market environment DOI

Leidan Chen,

Kezhen Liu, Kai Zhao

et al.

Energy Reports, Journal Year: 2025, Volume and Issue: 13, P. 2269 - 2276

Published: Feb. 5, 2025

Language: Английский

Citations

1
Flexible On-Grid and Off-Grid Control for Electric–Hydrogen Coupling Microgrids DOI Creative Commons

Zhengyao Wang,

Fulin Fan, Hang Zhang

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(4), P. 985 - 985

Published: Feb. 18, 2025

With the widespread integration of renewable energy into distribution networks, storage systems are playing an increasingly critical role in maintaining grid stability and sustainability. Hydrogen, as a key zero-carbon carrier, offers unique advantages transition to low-carbon systems. To facilitate coordination between hydrogen renewables, this paper proposes flexible on-grid off-grid control method for electric–hydrogen hybrid AC-DC microgrid which integrates photovoltaic panels, battery storage, electrolysers, tank, fuel cells. The proposed here employs hierarchical structure. upper level adopts power management strategy (PMS) that allocates each component based on states storage. lower utilises master–slave where master slave converters regulated by virtual synchronous generator (VSG) active reactive (PQ) control, respectively. In addition, pre-synchronisation does not rely traditional phase-locked loops is introduced enable smooth from mode. along with modelled tested under various operating modes scenarios. simulation results demonstrate achieves effective dispatch within maintains on- well two modes.

Language: Английский

Citations

0
A configuration and scheduling optimization method for integrated energy systems considering massive flexible load resources DOI Creative Commons
Zihao Wang, Shouyang Wang, Hanwen Ni

et al.

Frontiers in Energy Research, Journal Year: 2025, Volume and Issue: 13

Published: March 19, 2025

Introduction: With the increasing demand for energy utilization efficiency and minimization of environmental carbon emissions in industrial parks, optimizing configuration scheduling integrated systems has become crucial. This study focuses on with massive flexible load resources, aiming to maximize while reducing impact. Methods: To model uncertainties wind solar power outputs, we employed three-parameter Weibull distribution models Beta models. Flexible loads were categorized into three types match different electricity consumption patterns. Additionally, an enhanced Kepler Optimization Algorithm (EKOA) was proposed, incorporating chaos mapping adaptive learning rate strategies improve search scope, convergence speed, solution efficiency. The effectiveness proposed optimization methods validated through a case park located coastal area southeastern China. Results: results show that using more accurately reflects variations actual speeds irradiance levels, achieving peak shaving valley filling effects enhancing renewable utilization. EKOA algorithm significantly reduced curtailment rates generation substantial economic benefits. Compared other operation modes hydrogen, daily average cost is by 12.92%, external purchases are 20.2 MW h/day. Discussion: Although our approach shows potential improving gains, this paper only considered hydrogen single-use pathways did not account benefits from selling market. Future research will further incorporate response mechanisms optimize output perspective spot markets. These findings provide valuable references relevant engineering applications.

Language: Английский

Citations

0