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Economic Optimization Scheduling of Microgrid Based on Improved Spider Jumping Algorithm
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Zilong LI  Student Member, CPSS, Honghai KUANG  Member, CPSS, Yuhao XU  Student Member, CPSS, Huixian YANG  Student Member, CPSS, Xingyu LI  Student Member, CPSS, Qiancheng ZENG  Student Member, CPSS
Journal of Power Supply | 2026, 24(7) : 253 - 264
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Journal of Power Supply | 2026, 24(7): 253-264
• AI and Power Electronics •
Economic Optimization Scheduling of Microgrid Based on Improved Spider Jumping Algorithm
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Zilong LI  Student Member, CPSS, Honghai KUANG  Member, CPSS, Yuhao XU  Student Member, CPSS, Huixian YANG  Student Member, CPSS, Xingyu LI  Student Member, CPSS, Qiancheng ZENG  Student Member, CPSS
Affiliations
  • School of Transportation and Electrical Engineering, Hunan University of Technology, Zhuzhou 412007, China
Published: 2026-07-30 doi: 10.13234/j.issn.2095-2805.2026.7.253
Outline
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In order to solve the economic problems caused by the coordinated output of microgrid distributed power generation, an improved jumping spider optimization algorithm (IJSOA) is proposed. First, the best point set strategy is to increase the diversity of the initial population, and the cosine similarity strategy is introduced to enhance the ability to jump out of the local optimal solution, and a non-linear convergence coefficient is set that balances global and local search capabilities, and an improved pheromone update strategy is proposed to accelerate the convergence speed and improve the convergence performance of the algorithm. Then, the grid-connected microgrid economic optimization scheduling model and the optimal operation strategy of the system with the lowest power generation maintenance cost and pollution control cost are established. Finally, simulation experiments are conductes with IJSOA under different strategies, and the results are compared and analyzed with those of other algorithms. The simulation results show that the IJSOA improves the economy by 10.63% compared with the traditional algorithms such as jumping spider optimization algorithm (JSOA) and ant colony algo-rithm (ACO), which verifies the economy and effective-ness of the proposed method.

Improved jumping spider optimization algorithm (IJSOA)  /  microgrid  /  economic dispatch  /  cosine similarity  /  improved pheromone
李子龙中国电源学会学生会员, 匡洪海中国电源学会会员, 徐雨淏中国电源学会学生会员, 杨慧娴中国电源学会学生会员, 李星宇中国电源学会学生会员, 曾千城中国电源学会学生会员. 基于改进跳蛛算法的微电网经济优化调度. 电源学报, 2026 , 24 (7) : 253 -264 . DOI: 10.13234/j.issn.2095-2805.2026.7.253
Zilong LI, Honghai KUANG, Yuhao XU, Huixian YANG, Xingyu LI, Qiancheng ZENG. Economic Optimization Scheduling of Microgrid Based on Improved Spider Jumping Algorithm[J]. Journal of Power Supply, 2026 , 24 (7) : 253 -264 . DOI: 10.13234/j.issn.2095-2805.2026.7.253
Funding
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  • Natural Science Foundation of Hunan Province(2023JJ50176)
  • Key Scientific Research Project of Hunan Province Education Bureau(23A0441)
Appendix
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Year 2026 volume 24 Issue 7
38
9
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Article Info
doi: 10.13234/j.issn.2095-2805.2026.7.253
  • Receive Date：2024-06-06
  • Online Date：2026-10-29
  • Published：2026-07-30
Article Data
Affiliations
History
  • Received：2024-06-06
  • Revised：2024-09-02
  • Accepted：2024-09-20
Funding
Natural Science Foundation of Hunan Province(2023JJ50176)
Key Scientific Research Project of Hunan Province Education Bureau(23A0441)
Affiliations
    School of Transportation and Electrical Engineering, Hunan University of Technology, Zhuzhou 412007, China
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