Cited by Optimal Energy Management of the Smart Microgrid Considering Uncertainty of Renewable Energy Sources and Demand Response Programs

Optimal multiobjective design of an autonomous hybrid renewable energy system in the Adrar Region, Algeria DOI

Abderrahmane Mehallou,

Benalia M’hamdi,

A. Amari

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 4, 2025

Extended power outages are not only a nuisance but critical problem in the modern world, which demands continuous supply of decent quality electricity. Hybrid renewable energy systems (HRES) within microgrid (MG) play an important role delivering to rural and off-grid areas avoiding potential outages. This research describes in-depth study three phases, design, optimization, performance analysis stand-alone hybrid for residential area remote province Adrar southern Algeria. The system is composed photovoltaic (PV) modules wind turbine, set batteries as storage unit, diesel generator backup source, inverter. paper investigates four recent methodologies based on Multi-objective Particle Swarm Optimization (MOPSO), Ant Lion Optimizer (MOALO), Dragonfly Algorithm (MODA), Evolutionary (MOGA) identify optimal sizing integrated with sources (RES). proposed methods carried out select size, multi-objective involving minimization annual cost electricity (COE), loss probability (LPSP) simultaneously. To achieve this, combined management strategy (EMS) rules that coordinate flows between various components. findings reveal MOPSO method has most efficient configuration generation (COE) 0.2520 $/kWh 9.164%, dominates MOALO (COE 0.1625$/kWh LPSP 8.4872%), MOGA 0.1577$/kWh 10%), MODA 0.02425$/kWh 7.8649%). Furthermore, sensitivity performed effect COE variants may have design variables.

Language: Английский

Citations

Economic and resilient planning of hydrogen-enriched power distribution network with mobile hydrogen energy resources DOI

Tengbo Wang,

Yuchen Dong,

Xiaoyu Cao

et al.

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

A Three-Stage Optimization Framework for Unlocking Demand-Side Flexibility in Highly Renewable Electricity Grids DOI

Mahmoud Bagheritabar,

Seyed Mehdi Hakimi,

Ghasem Derakhshan

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135158 - 135158

Published: Feb. 1, 2025

Language: Английский

Citations

Rolling optimization control method for hydro-photovoltaic-storage microgrid based on stochastic chance constraints DOI

Qianjin Gui,

Wilsun Xu, Xiaoyang Li

et al.

Advances in Differential Equations and Control Processes, Journal Year: 2025, Volume and Issue: 32(1), P. 2799 - 2799

Published: March 11, 2025

Hydro-photovoltaic-storage (HPS) microgrid has gradually become an important measure to optimize the energy structure and ensure reliability of regional power supply. However, due strong randomness spatiotemporal correlations hydropower photovoltaic (PV) output, traditional deterministic optimization methods are difficult support accurate regulation reliable operation with a high proportion renewable integration. On this basis, rolling control method for HPS based on stochastic chance constraints is proposed. A novel multivariate scenario reduction considering hydro-PV presented characterize uncertainty day-ahead optimal scheduling model chance-constrained programming constructed. Combined predictive strategies, plan can be adjusted at multiple time scales, both intraday compensation real-time adjustments, suppress fluctuations induced by errors reduce influence output operation. Experimental results show that compared method, proposed effectively improve stability economy under complex uncertain conditions.

Language: Английский

Citations

A methodology for integrating hydrogen refueling stations in multi-microgrids and coordination of distribution systems and transmission system DOI

Han Gao, Haiyang Pan, Yanming Liu

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135634 - 135634

Published: March 1, 2025

Language: Английский

Citations

Multi-Time-Scale Layered Energy Management Strategy for Integrated Production, Storage, and Supply Hydrogen Refueling Stations Based on Flexible Hydrogen Load Characteristics of Ports DOI

Zhuoyu Jiang,

Rujie Liu,

Weiwei Guan

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(7), P. 1583 - 1583

Published: March 22, 2025

Aiming at resolving the problem of stable and efficient operation integrated green hydrogen production, storage, supply refueling stations different time scales, this paper proposes a multi-time-scale hierarchical energy management strategy for station (HFS). The proposed is divided into two layers. upper layer uses hourly scale to optimize operating power HFS equipment with goal minimizing typical daily cost, parameter adaptive particle swarm optimization (PSA-PSO) solution algorithm that introduces Gaussian disturbance adaptively adjusts learning factor, inertia weight, step size algorithm. Compared traditional algorithms, it can effectively improve ability search optimal solution. lower minute-level suppress randomness renewable generation load consumption in HFS. A based on stochastic model predictive control (SMPC) proposed. Latin hypercube sampling (LHS) simultaneous backward reduction methods are used generate reduce scenarios obtain set high-probability random variable bring them MPC variables system operation. Finally, real data southern China example analysis. results show has good effect scenarios.

Language: Английский

Citations

Optimal Energy Management of the Smart Microgrid Considering Uncertainty of Renewable Energy Sources and Demand Response Programs DOI

Saheli Ray, Amjad Ali,

Temur Eshchanov

et al.

Operations Research Forum, Journal Year: 2025, Volume and Issue: 6(2)

Published: April 22, 2025

Language: Английский

Citations