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Capacity Optimization of Hybrid Energy Storage Based on Improved Immune Particle Swarm Optimization Algorithm
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Lianbing LI  Member, CPSS1, Lanchao WANG2, Ruixiong JING2, Yaze XIAO1, Shaobo YANG3
Journal of Power Supply | 2026, 24(2) : 208 - 215
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Journal of Power Supply | 2026, 24(2): 208-215
• AI and Power Electronics •
Capacity Optimization of Hybrid Energy Storage Based on Improved Immune Particle Swarm Optimization Algorithm
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Lianbing LI  Member, CPSS1, Lanchao WANG2, Ruixiong JING2, Yaze XIAO1, Shaobo YANG3
Affiliations
  • 1.School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China
  • 2.School of Artificial Intelligence, Hebei University of Technology, Tianjin 300130, China
  • 3.Electric Power Research Institute, State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050000, China
Published: 2026-02-28 doi: 10.13234/j.issn.2095-2805.2026.2.208
Outline
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To improve the economy and stability of microgrid operation, it is necessary to optimize the capacity of microgrid reasonably according to the meteorological information and load information. Under this background, a mathematical model of distributed power sources is established. According to the constraint conditions and operation strategy for the system, the number of distributed power sources is taken as an optimization variable, and the minimum total cost is taken as an objective function. The improved immune particle swarm optimization algorithm is used to optimize the capacity of microgrid. First, normal distribution is used for initialization, so as to increase the population diversity. Then, the nonlinear inertia factor, adaptive inertia weight and chaotic disturbance operator are used to improve the convergence speed and accuracy of the algorithm. Experimental results show that the proposed method is reasonable and can effectively reduce the investment cost, providing a reference value for the capacity optimization of microgrid.

Microgrid  /  capacity optimization  /  improved immune particle swarm optimization algorithm  /  economy
李练兵中国电源学会会员, 王兰超, 景睿雄, 肖亚泽, 杨少波. 基于改进免疫粒子群算法的混合储能容量优化. 电源学报, 2026 , 24 (2) : 208 -215 . DOI: 10.13234/j.issn.2095-2805.2026.2.208
Lianbing LI, Lanchao WANG, Ruixiong JING, Yaze XIAO, Shaobo YANG. Capacity Optimization of Hybrid Energy Storage Based on Improved Immune Particle Swarm Optimization Algorithm[J]. Journal of Power Supply, 2026 , 24 (2) : 208 -215 . DOI: 10.13234/j.issn.2095-2805.2026.2.208
Funding
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  • Science and Technology Project of State Grid Hebei Energy Technology Service Co., Ltd.(TSS2021-08)
Appendix
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Year 2026 volume 24 Issue 2
34
6
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Article Info
doi: 10.13234/j.issn.2095-2805.2026.2.208
  • Receive Date：2023-06-05
  • Online Date：2026-10-29
  • Published：2026-02-28
Article Data
Affiliations
History
  • Received：2023-06-05
  • Revised：2023-09-03
  • Accepted：2023-11-01
Funding
Science and Technology Project of State Grid Hebei Energy Technology Service Co., Ltd.(TSS2021-08)
Affiliations
    1.School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China
    2.School of Artificial Intelligence, Hebei University of Technology, Tianjin 300130, China
    3.Electric Power Research Institute, State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050000, China
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