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Coordinated dispatch optimization of multi-type energy storage systems using MILP and NSGA-II algorithms
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Chunxian FENG1, Wenxue WANG1, Yifeng WANG1, Feifei ZHANG1, Long YUAN1, Zhihao FAN2, Heng CHEN2
Thermal Power Generation | 2026, 55(2) : 180 - 192
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Thermal Power Generation | 2026, 55(2): 180-192
• Multi-type energy storage-assisted peak and frequency regulation technology •
Coordinated dispatch optimization of multi-type energy storage systems using MILP and NSGA-II algorithms
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Chunxian FENG1, Wenxue WANG1, Yifeng WANG1, Feifei ZHANG1, Long YUAN1, Zhihao FAN2, Heng CHEN2
Affiliations
  • 1.State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050081, China
  • 2.School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
Published: 2026-02-25 doi: 10.19666/j.rlfd.202508008
Outline
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[Objective]

To address the demand for flexibility and economy in power grids with high penetration of renewable energy, this paper proposes a coordinated dispatch optimization model and scheduling strategy for multi-type energy storage systems considering peak-valley electricity prices and renewable energy fluctuations.

[Methods]

Based on mixed integer linear programming (MILP) and the non-dominated sorting genetic algorithm II (NSGA-II), a dual-objective optimization dispatch model is constructed, aiming to minimize system costs and maximize renewable energy utilization rate. The model is validated using typical daily load and wind-solar power output data from different seasons in Hebei region to evaluate its economic performance and renewable energy accommodation effectiveness.

[Results]

The results show that the model demonstrates good robustness and can adapt to fluctuations in wind-solar power and load. The optimal energy storage output is 3 000 MW in spring and 2 000 MW in summer, autumn, and winter. The renewable energy utilization rate remains above 85% in all seasons, and the total system cost is controlled at around 15 000 yuan.

[Conclusion]

By integrating multi-season scenarios, multi-type energy storage, and multi-objective optimization, this study achieves coordinated improvement in both economic performance and renewable energy accommodation, effectively enhancing grid flexibility and reducing the curtailment rate of wind and photovoltaic power.

multi-type energy storage  /  optimal scheduling  /  MILP algorithm  /  NSGA-II algorithm  /  renewable energy power consumption
Chunxian FENG, Wenxue WANG, Yifeng WANG, Feifei ZHANG, Long YUAN, Zhihao FAN, Heng CHEN. Coordinated dispatch optimization of multi-type energy storage systems using MILP and NSGA-II algorithms[J]. Thermal Power Generation, 2026 , 55 (2) : 180 -192 . DOI: 10.19666/j.rlfd.202508008
Funding
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  • Science and Technology Project of State Grid Hebei Electric Power Company Limited(kj2024-059)
  • Research on Multi-timescale Operational Scheduling Strategies for Multiple Types of New Energy Storage in Multi-scenarios
Appendix
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Year 2026 volume 55 Issue 2
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239
102
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Article Info
doi: 10.19666/j.rlfd.202508008
  • Receive Date：2025-08-03
  • Online Date：2026-08-14
  • Published：2026-02-25
Article Data
Affiliations
History
  • Received：2025-08-03
  • Revised：2025-09-22
  • Accepted：2025-09-25
Funding
Science and Technology Project of State Grid Hebei Electric Power Company Limited(kj2024-059)
Research on Multi-timescale Operational Scheduling Strategies for Multiple Types of New Energy Storage in Multi-scenarios
Affiliations
    1.State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050081, China
    2.School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
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https://castjournals.cast.org.cn/joweb/rlfd/EN/10.19666/j.rlfd.202508008
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