Economic Benefits and Strategy Optimization of Wind-Solar-Storage Systems under Different Market Mechanisms

Authors

  • Wenbao Nong
  • Puyi Zhao

DOI:

https://doi.org/10.54097/1g75dw89

Keywords:

Wind-Solar-Storage system, market mechanism, economic benefit, operational strategy, renewable energy.

Abstract

This study conducts a comprehensive investigation into the operational strategies and economic feasibility of integrated wind-solar-energy storage (WSS) systems under different electricity market frameworks. The inherent technical complementarity between wind energy and solar energy resources was studied, the technical and economic performance of various energy storage technologies was evaluated, and the key role of artificial intelligence in improving system dispatching efficiency and optimizing multi-market bidding strategies was emphasized. Through case studies and scenario-based simulations, this research highlights that diversified revenue streams - by simultaneously participating in the energy, ancillary services, and capacity markets - are crucial for enhancing project profitability and investment attractiveness, rather than relying solely on a single market source. This study also pointed out the main challenges hindering the development of WSS, such as the immature market mechanism and the high costs associated with energy storage, and put forward targeted policy recommendations, including accelerating the reform of the electricity market and establishing a sound capacity compensation mechanism. Finally, the possible future research directions were prospected, with a focus on market dynamic simulation, the collaborative operation of multi-technology storage systems, and breakthroughs in long-term, secure, and low-cost storage solutions.

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References

[1] Noah Kittner, Felix Lil, Daniel M Kammen, Energy storage deployment and innovation for the clean energy transition. Nature Energy, 2 (9), 1 - 6, 2017.

[2] Behnam Zakeri, Giorgio Castagneto Gissey, Paul E Dodds, Dina Subkhankulova. Centralized vs. distributed energy storage-Benefits for residential users. Energy 236, 121443, 2021.

[3] Xiao Jucheng, He Guangyu, Fan Shuai, Li Zuyi. Substitute energy price market mechanism for renewable energy power system with generalized energy storage. Applied Energy 328, 120219, 2022.

[4] Jin HuiLong, Liu HongYang, Kang HeRan, et al. independent energy storage in electric power market transaction mechanism at home and abroad research. Energy storage science and technology, 2025, 14 (7): 2602 - 2616.

[5] Sayem M Abu, MA Hannan, MS Hossain Lipu, M Mannan, Pin Jern Ker, MJ Hossain, TM Indra Mahlia. State of the art of lithium-ion battery material potentials: An analytical evaluations, issues and future research directions. Journal of Cleaner Production 394, 136246, 2023.

[6] Omar J Guerra, Jiazi Zhang, Joshua Eichman, Paul Denholm, Jennifer Kurtz, Bri-Mathias Hodge. The value of seasonal energy storage technologies for the integration of wind and solar power. Energy & environmental science 13 (7), 1909 - 1922, 2020.

[7] Yang Yinguo, Xie Pingping, Liu Yang, et al. Optimal dispatching strategy for wind-solar-storage multi-energy complementary power systems based on deep optimization algorithms. Power grid and clean energy, 2025, 41 (07): 122 - 131.

[8] Hao Hongbo, Research on Capacity Optimization Configuration of Hydropower, Photovoltaic, Storage and Energy Storage Complementary Power Generation System, North China Electric Power University, 2023.

[9] Zhao Haibo; Zhang Zhi; Wang Yao; Liu Rui. Economics and Technology Institute, State Grid Shanxi Electric Power Company, Taiyuan, Shanxi, 030021, China; State Grid Energy Research Institute Co., Ltd., Beijing, 102209, China.

[10] Fu Xu, Li FuChun, Yang Xin, Yang PanFeng. Energy storage cost analysis Based on Life Cycle cost. 2020.

[11] Silke Johanndeiter, Niina Helistö, Juha Kiviluoma, Valentin Bertsch. (2025). Price formation and intersectoral distributional effects in a fully decarbonized European electricity market. Advances in Applied Energy, 100245.

[12] Dou Qingsong. Application of Battery Energy Storage System Integration Technology Based on Artificial Intelligence. Battery. 2024, 54 (03). Classification number: TP18; TM91.

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Published

30-03-2026

Issue

Section

Articles

How to Cite

Nong, W., & Zhao, P. (2026). Economic Benefits and Strategy Optimization of Wind-Solar-Storage Systems under Different Market Mechanisms. Academic Journal of Science and Technology, 20(2), 718-726. https://doi.org/10.54097/1g75dw89