Energy Storage Optimization in Renewable Energy Systems using Particle Swarm Optimization DOI Creative Commons
Elena Nidziy, Phaneendra Babu Bobba,

Angadi Seshapp

et al.

E3S Web of Conferences, Journal Year: 2024, Volume and Issue: 581, P. 01021 - 01021

Published: Jan. 1, 2024

This research examines the application of Particle Swarm Optimization (PSO) to optimize energy storage optimizations with objectives improving generation, cost-efficiency, system dependability, and environmental sustainability. The optimisation solar panel capacities was conducted using empirical data from various microgrid locations: Site 1, which had a capacity 90 kW 40 wind, 2, 50 wind 80 solar, 3, 60 110 4, 45 85 solar. findings suggest that generation increased significantly by 15% 25% across all sites following optimization. Furthermore, significant decreases in levelized cost (LCOE) between 10% 14% were noted, providing confirmation economic feasibility. Increased grid stability 17% 24% during periods when microgrids operating under stable conditions demonstrates PSO-optimized configurations are dependable. positive effects solutions derived PSO apparent, as evidenced conservation carbon emissions ecological footprints, decreased 7% 15%. sensitivity analysis validated optimized configurations' robustness, establishing their ability withstand changes parameters. In summary, utilization showcases its enhance efficiency, cost-effectiveness, impact these systems. advances possibility constructing exclusively utilize sustainable renewable sources.

Language: Английский

Optimal scheduling and energy management of a multi-energy microgrid with electric vehicles incorporating decision making approach and demand response DOI Creative Commons

G. Y. Xiao,

Huan Liu,

Javad Nabatalizadeh

et al.

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

Published: Feb. 11, 2025

Language: Английский

Citations

3

Towards efficient energy hubs: Two-stage robust optimization with compressed air storage, electric vehicles and renewable energy integration DOI
Yan Li,

Lijin Lyu,

Qiang Niu

et al.

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 111, P. 115338 - 115338

Published: Jan. 11, 2025

Language: Английский

Citations

2

Master–Slave Game Optimization Scheduling of Multi-Microgrid Integrated Energy System Considering Comprehensive Demand Response and Wind and Storage Combination DOI Creative Commons
Hongbin Sun,

Hongyu Zou,

Jianfeng Jia

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(22), P. 5762 - 5762

Published: Nov. 18, 2024

This paper addresses the critical challenge of scheduling optimization in regional integrated energy systems, characterized by coupling multiple physical streams (electricity, heat, and cooling) participation various stakeholders. To tackle this, a novel multi-load multi-type demand response model is proposed, which fully accounts for heterogeneous characteristics demands different campus environments. A leader–follower two-layer game equilibrium introduced, where system operator acts as leader, load aggregators, storage plants, wind farm operators serve followers. The layer employs an enhanced particle swarm (PSO) algorithm to iteratively adjust sales prices compensation unit prices, influencing user plan through model. In lower layer, charging discharging schedules supply, outputs conversion devices are optimized guide operation. novelty this approach lies integration game-theoretic framework with advanced techniques balance interests all participants enhance coordination. case study conducted evaluate effectiveness proposed strategy, demonstrating significant economic benefits. results show that encourages stakeholders invest infrastructure actively participate coordinated dispatch, leading improved overall efficiency comprehensive revenue enhancement multi-agent system.

Language: Английский

Citations

3

Microgrid-level reliability assessment of mid-term electricity provision under intermittency of renewable distributed generation: A probabilistic conditional value at risk modeling DOI
Seyed-Sadra Jodeiri-Seyedian, Mohammad Veysi

Reliability Engineering & System Safety, Journal Year: 2025, Volume and Issue: unknown, P. 111087 - 111087

Published: April 1, 2025

Language: Английский

Citations

0

Shared energy storage with multi-microgrids: Coordinated development and economic-social-environmental comprehensive assessment under supply–demand uncertainties DOI
Xiaohui Yang, X. X. Yi, Hongye Wang

et al.

Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 123101 - 123101

Published: April 1, 2025

Language: Английский

Citations

0

Bi-Level Four-Stage Optimization Scheduling for Active Distribution Networks with Electric Vehicle Integration using Multi-Mode Dynamic Pricing DOI
Qinglin Meng, Ying He, Yuan Gao

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 136316 - 136316

Published: May 1, 2025

Language: Английский

Citations

0

A low-carbon trading strategy of multi-microgrid system considering electricity-hydrogen-carbon coupling characteristics DOI
Nian Liu,

Jinwei Yan,

Lu Tan

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 136420 - 136420

Published: May 1, 2025

Language: Английский

Citations

0

Multi-time scale game dispatching strategy for microgrid cluster with shared energy storage considering demand response uncertainty DOI
Pan Li, Yaqi Li, Ziqiang Li

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 136568 - 136568

Published: May 1, 2025

Language: Английский

Citations

0

Dynamic cooperative scheduling and adaptive benefit allocation for multi-microgrid systems with shared energy storage under source-load uncertainty DOI

Bin Chen,

Zeke Li,

B Liu

et al.

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 128, P. 117213 - 117213

Published: May 27, 2025

Language: Английский

Citations

0

Enhancing Island Energy Resilience: Optimized Networked Microgrids for Renewable Integration and Disaster Preparedness DOI Open Access
Zheng Ma, Magnus Værbak,

Lu Cong

et al.

Electronics, Journal Year: 2025, Volume and Issue: 14(11), P. 2186 - 2186

Published: May 28, 2025

Island communities that depend on mainland grid connections face substantial risks when natural disasters sever undersea or overhead cables, often resulting in long-lasting outages. This paper presents a comprehensive and novel two-part methodological framework for enhancing the resilience of these through networked microgrids interconnect local renewable energy resources battery storage. The integrates techno-economic capacity optimization using HOMER Pro with agent-based simulation AnyLogic to determine cost-effective solar storage capacities model dynamic real-time dispatch under varying conditions. Six island across three Indonesian provinces serve as illustrative case studies, tested best-case worst-case disruption scenarios reflect seasonal extremes availability. Simulation results reveal isolated expansions PV can ensure critical residential loads, though certain islands limited continue experience shortfalls. By contrast, enable surplus power transfers between islands, significantly reducing unmet demand alleviating need large-scale, individual These findings demonstrate significant potential clustered microgrid designs improve reliability, lower operational costs, facilitate secure supply even during prolonged cable proposed offers scalable roadmap deploying resilient clusters remote regions, direct policy implications system planners stakeholders seeking leverage high-risk environments.

Language: Английский

Citations

0