Overview of the Development Status of Distributed Wind-Solar-Storage Energy Systems and the Path to Green and Low-Carbon Transformation

Wenting Yi; Youyou Liu; Beiwu Deng; Xiang Yang; Xiangyue Zhu

doi:10.47297/taposatWSP2633-456910.20250612

PDF
Export
Share
Collection
Album

Overview of the Development Status of Distributed Wind-Solar-Storage Energy Systems and the Path to Green and Low-Carbon Transformation

Volume 6, Issue 12

Views: 0 Downloads: 9

Overview of the Development Status of Distributed Wind-Solar-Storage Energy Systems and the Path to Green and Low-Carbon Transformation
Overview of the Development Status of Distributed Wind-Solar-Storage Energy Systems and the Path to Green and Low-Carbon Transformation
School of Business, Hunan Institute of Engineering, Xiangtan, Hunan, 411104, China
Vol. 6, Issue 12, Pages: 43-47(2025)
Published：30 December 2025
DOI：10.47297/taposatWSP2633-456910.20250612
Accepted：

Scan QR Code

Yi Wenting,Liu Youyou,Deng Beiwu,et al.Overview of the Development Status of Distributed Wind-Solar-Storage Energy Systems and the Path to Green and Low-Carbon Transformation[J].Theory and Practice of Science and Technology,2025,06(12):43-47.
DOI：

Yi Wenting,Liu Youyou,Deng Beiwu,et al.Overview of the Development Status of Distributed Wind-Solar-Storage Energy Systems and the Path to Green and Low-Carbon Transformation[J].Theory and Practice of Science and Technology,2025,06(12):43-47. DOI： 10.47297/taposatWSP2633-456910.20250612.

摘要

Abstract

As one of the key paths for promoting green and low-carbon development

distributed wind and photovoltaic power generation and energy storage systems (referred to as wind-solar-storage systems) are indispensable for the new power system by leveraging their cleanliness

renewability

and flexible dispatch capabilities. This review elucidates integration mechanism

key technologies

and application value in green development of distributed wind-solar-storage energy systems. It systematically reviews and analyses the current research progress and application practices in system architecture

optimization dispatch

intelligent control

and energy storage management both domestically and internationally. Then

it points out the main challenges currently faced include high system integration complexity

high energy storage costs

and difficulties in control coordination. It also proposes future development directions from multiple dimensions

such as adaptive dispatch mechanisms based on artificial intelligence

novel and efficient energy storage technologies

and coordinated optimization of source-grid-load-storage. This paper can provide theoretical references and methodological insights for the integration and optimization research of distributed renewable energy systems.

关键词

Keywords

references

Boubaker S, Liu Z, Mu Y, et al. Carbon dioxide emissions and environmental risks: Long term and short term[J]. Risk Analysis, 2025, 45(3): 523-543.

Wang Y, Wang R, Tanaka K, et al. Global spatiotemporal optimization of photovoltaic and wind power to achieve the Paris Agreement targets[J]. Nature Communications, 2025, 16(1): 2127.

Tong D, Farnham D J, Duan L, et al. Geophysical constraints on the reliability of solar and wind power worldwide[J]. Nature communications, 2021, 12(1): 1-12.

Jahangir A, Mishra S. Autonomous battery storage energy system control of PV-wind based DC microgrid[C]//2018 2nd International Conference on Power, Energy and Environment: Towards Smart Technology (ICEPE). IEEE, 2018: 1-6.

McCabe K, Prasanna A, Lockshin J, et al. Distributed wind energy futures study[R]. National Renewable Energy Lab.(NREL), Golden, CO (United States), 2022.

Wang H, Bai X, Xu J. Reliability assessment considering the coordination of wind power, solar energy and energy storage[C]//Zhongguo Dianji Gongcheng Xuebao(Proceedings of the Chinese Society of Electrical Engineering). Chinese Society for Electrical Engineering, 2012, 32(13): 13-20.

Li B, Zhao J, Zhang Y, et al. Optimal configuration and economic operation of Wind–Solar-storage complementary system for agricultural irrigation in mountainous areas[J]. Journal of Electrical Engineering & Technology, 2023, 18(4): 2649-2666.

Chowdhury B H, Tseng C L. Distributed energy resources: Issues and challenges[J]. Journal of Energy Engineering, 2007, 133(3): 109-110.

Nadeem T B, Siddiqui M, Khalid M, et al. Distributed energy systems: A review of classification, technologies, applications, and policies[J]. Energy strategy reviews, 2023, 48: 101096.

Bakare M S, Abdulkarim A, Shuaibu A N, et al. Energy management controllers: strategies, coordination, and applications[J]. Energy Informatics, 2024, 7(1): 57.

Meng Q, He Y, Hussain S, et al. Day-ahead economic dispatch of wind-integrated microgrids using coordinated energy storage and hybrid demand response strategies[J]. Scientific Reports, 2025, 15(1): 26579.

Deshpande V. Smart grids integration with AI-powered demand response[J]. Research Journal of Computer Systems and Engineering, 2024, 5(1): 45-58.

Babayomi O, Zhang Z, Dragicevic T, et al. Smart grid evolution: Predictive control of distributed energy resources—A review[J]. International Journal of Electrical Power & Energy Systems, 2023, 147: 108812.

Buchan D. The Energiewende–Germany's gamble[M]. Oxford Institute for Energy Studies, 2012.

Acaroğlu H, García Márquez F P. Comprehensive review on electricity market price and load forecasting based on wind energy[J]. Energies, 2021, 14(22): 7473.

Eyer J M, Corey G P. Energy storage for the electricity grid: benefits and market potential assessment guide: a study for the DOE Energy Storage Systems Program[R]. Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States), 2010.

Li Y, Gao W, Ruan Y, et al. The performance investigation of increasing share of photovoltaic generation in the public grid with pump hydro storage dispatch system, a case study in Japan[J]. Energy, 2018, 164: 811-821.

Zhang F, Luo J, Gui Y, et al. A Study on Energy Management Research for Ubiquitous Power Internet of Things[C]//2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2019: 1036-1041.

Guo J. Research on optimal scheduling and energy management strategy of wind-solar storage complementary microgrid [J]. Journal of Electrical Engineering, 2020, 8: 36.

Zhang M, Huang Y, Zhou M, Ma L. Research on Battery Allocation and Economy of Battery Swapping Station Under the Battery Swapping Ecosystem. Journal of Industrial Technological Economics. 2022, 41(9): 18-25

Xia Y,Wu H,Xin J, et al.Evaluation of economic operation for microgrid with complementary DGs and energy storage[J].Electric Power Automation Equipment,2017,37(7): 63-69.

Mei S, Li R, Huang S, et al. Modeling and dynamic evolution mechanism of multi-energy complementary network [J]. Journal of Global Energy Interconnection, 2018, 1(1).

Sun H, Guo Q, Pan Z, et al. Energy internet: driving force, review and outlook [J]. Power System Technology, 2015, 39(11): 3005-3013.

Wang Y, Wang R, Tanaka K, et al. Global spatiotemporal optimization of photovoltaic and wind power to achieve the Paris Agreement targets[J]. Nature Communications, 2025, 16(1): 2127.

Gijón A, Eiraudo S, Manjavacas A, et al. Integrating Physics and Data-Driven Approaches: An Explainable and Uncertainty-Aware Hybrid Model for Wind Turbine Power Prediction[J ] . arXiv preprint arXiv: 2502.07344 , 2025.

Alhumaid Y, Khan K, Alismail F, et al. Multi-input nonlinear programming based deterministic optimization framework for evaluating microgrids with optimal renewable-storage energy mix[J]. Sustainability, 2021, 13(11): 5878.

Bade S O, Tomomewo O S, Maan M, et al. Optimal Sizing and Techno-Economic Evaluation of a Utility-Scale Wind–Solar–Battery Hybrid Plant Considering Weather Uncertainties, as Well as Policy and Economic Incentives, Using Multi-Objective Optimization[J]. Energies, 2025, 18(13): 3528.

Olivares D E, Cañizares C A, Kazerani M. A centralized energy management system for isolated microgrids[J]. IEEE Transactions on smart grid, 2014, 5(4): 1864-1875.

Mishra J, Behera P K, Pattnaik M, et al. A multi-agent petri net model power management strategy for wind–solar-battery driven DC microgrid[J]. Sustainable Energy Technologies and Assessments, 2023, 55: 102859.

Alert me when the article has been cited

Submit

No data

Related Author

No data

Related Institution

No data

⁰