Two-Stage Optimization Configuration Method for Energy Storage Stations Considering Reliability and Economy in Multi-station Fusion

作者：Wang Yanfeng; Wang Chunling; Pan Baichong; Che Weixian; Xu Chenghao; Dong Ping^*

来源：Dianli Jianshe/Electric Power Construction, 2024, 45(7): 134-143.

DOI：10.12204/j.issn.1000-7229.2024.07.012

• data center
• economic analysis
• energy storage stations
• multi-station integration
• particle swarm optimization(PSO)
• reliability assessment

To study a multifunction optimization configuration method for energy storage stations in multi-station integration, the possibility of replacing the traditional diesel generator and UPS with energy storage is discussed. The traditional and energy storage modes were compared using reliability calculations, and the results showed that the reliability of energy storage was higher. Then, the economy of energy storage was analyzed, a life model of energy storage was established, the cost was analyzed, and the type of energy storage was determined by comparing the investment, operation and maintenance, and kilowatt-hour costs of energy storage. Finally, considering the reliability and economy of the storage station in multi-station integration, we configured the energy storage with optimal reliability of the storage station and maximum annual net return value as the objective function. The particle swarm optimization algorithm was used to obtain an optimal allocation of energy storage capacity, with 3 500 and 150 kWh of usable and standby capacity, respectively. The example results show that the two-stage optimization method proposed in this study makes the allocation capacity of energy storage in multi-station fusion more accurate and realistic. ? 2024, State Power Economic Research Institute.

• 单位
  华南理工大学