电源学报

基于改进跳蛛算法的微电网经济优化调度

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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

电源学报 | 人工智能与电力电子 2026,24(7): 253-264

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电源学报 |人工智能与电力电子 2026 , 24 (7) : 253 -264

基于改进跳蛛算法的微电网经济优化调度

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李子龙（1999—　），男，中国电源学会学生会员，硕士研究生。研究方向：微电网优化。E-mail：1315922386@qq.com。

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李子龙（1999—　），男，中国电源学会学生会员，硕士研究生。研究方向：微电网优化。E-mail：1315922386@qq.com。

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徐雨淏（1999—　），男，中国电源学会学生会员，硕士研究生。研究方向：微电网容量配置。E-mail：980786842@qq.com

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徐雨淏（1999—　），男，中国电源学会学生会员，硕士研究生。研究方向：微电网容量配置。E-mail：980786842@qq.com

杨慧娴（2000—　），女，中国电源学会学生会员，硕士研究生。研究方向：微电网优化调度。E-mail：455096562@qq.com

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杨慧娴（2000—　），女，中国电源学会学生会员，硕士研究生。研究方向：微电网优化调度。E-mail：455096562@qq.com

李星宇（2002—　），男，中国电源学会学生会员，硕士研究生。研究方向：综合能源系统研究。E-mail：1606284520@qq.com

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李星宇（2002—　），男，中国电源学会学生会员，硕士研究生。研究方向：综合能源系统研究。E-mail：1606284520@qq.com

曾千城（2000—　），男，中国电源学会学生会员，硕士研究生。研究方向：小水电站优化研究。E-mail：1179028089@qq.com

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曾千城（2000—　），男，中国电源学会学生会员，硕士研究生。研究方向：小水电站优化研究。E-mail：1179028089@qq.com

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

作者信息

湖南工业大学交通与电气工程学院，株洲　412007

通讯作者:

匡洪海（1972—　），女，中国电源学会会员，通信作者，博士，教授。研究方向：电力系统运行与优化。E-mail：khhzyz@163.com。

作者简介:

李子龙（1999—　），男，中国电源学会学生会员，硕士研究生。研究方向：微电网优化。E-mail：1315922386@qq.com。

徐雨淏（1999—　），男，中国电源学会学生会员，硕士研究生。研究方向：微电网容量配置。E-mail：980786842@qq.com

杨慧娴（2000—　），女，中国电源学会学生会员，硕士研究生。研究方向：微电网优化调度。E-mail：455096562@qq.com

李星宇（2002—　），男，中国电源学会学生会员，硕士研究生。研究方向：综合能源系统研究。E-mail：1606284520@qq.com

曾千城（2000—　），男，中国电源学会学生会员，硕士研究生。研究方向：小水电站优化研究。E-mail：1179028089@qq.com

Economic Optimization Scheduling of Microgrid Based on Improved Spider Jumping Algorithm

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

出版时间: 2026-07-30 doi: 10.13234/j.issn.2095-2805.2026.7.253

文章导航

摘要

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为解决微电网分布式电源出力配合引起的经济性问题，提出一种改进跳蛛优化算法IJSOA（improved jumping spider optimization algorithm）。首先引入佳点集策略增加初始化种群多样性，引入余弦相似度策略增强跳出局部最优解的能力，通过设置非线性收敛因子平衡全局搜索和局部搜索的能力，提出改进的信息素更新策略加快算法收敛速度、提高收敛性能；然后建立以发电维护费用和污染治理费用最低的并网型微电网经济优化调度模型及系统的优化运行策略；最后通过IJSOA在不同策略下进行仿真实验，并与其他算法进行对比分析。仿真结果表明，IJSOA相较于传统跳蛛优化算法JSOA（jumping spider optimization algorithm）、蚁群算法ACO（ant colony optimization）等算法，经济性最大提高了10.63%，验证了所提算法的经济性和有效性。

关键词

改进跳蛛算法IJSOA / 微电网 / 经济调度 / 余弦相似度 / 改进信息素

Abstract

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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.

Key words

Improved jumping spider optimization algorithm (IJSOA) / microgrid / economic dispatch / cosine similarity / improved pheromone

引用本文

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

基金

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湖南省自然科学基金资助项目(2023JJ50176)
湖南省教育厅科学研究重点资助项目(23A0441)

参考文献

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文献

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参考文献引证文献

排序方式：

[1]

杨森, 郭宁, 张寿明. 不确定性条件下农业微电网与灌溉系统相结合的鲁棒优化调度[J]. 上海交通大学学报, 2024, 58(9): 1432-1442. Yang Sen, Guo Ning, Zhang Shouming. Robust optimal scheduling of agricultural microgrid combined with irrigation system under uncertainty conditions[J]. Journal of Shanghai Jiao Tong University, 2024, 58(9): 1432-1442. (in Chinese)

[2]

戎士敏, 王聪, 罗滇生, 等. 基于生态博弈思维的微电网优化调度模型分布设计及优化[J]. 电源学报, 2025, 23(7): 191-199. Rong Shimin, Wang Cong, Luo Diansheng, et al. Distributed design and optimization of microgrid optimization scheduling model based on ecological game thinking[J]. Journal of Power Supply, 2025, 23(7): 191-199. (in Chinese)

[3]

余运俊, 杨林锋, 哈志蕊, 等. 考虑灵活性资源的微电网双层优化策略[J]. 电源学报, 2025, 23(2): 115-124. Yu Yunjun, Yang Linfeng, Ha Zhirui, et al. Two-layer optimal strategy for microgrid considering flexible resources[J]. Journal of Power Supply, 2025, 23(2): 115-124. (in Chinese)

[4]

陈曦, 付文龙, 张海荣, 等. 考虑新能源发电不确定性的含微电网群共享储能优化调度[J]. 电网技术, 2024, 48(1): 219-228. Chen Xi, Fu Wenlong, Zhang Hairong, et al. Optimal dispatching strategy of shared energy storage with multimicrogrid considering uncertainty of new energy generation[J]. Power System Technology, 2024, 48(1): 219-228. (in Chinese)

[5]

李子龙, 匡洪海, 徐雨淏, 等. 碳交易机制下考虑液态CO₂储能的微电网双层优化调度[J]. 电源学报, 2026, 24(3): 100-110. Li Zilong, Kuang Honghai, Xu Yuhao, et al. Double-layer optimal scheduling of microgrid considering liquid CO₂ energy storage under carbon trading mechanism[J]. Journal of Power Supply, 2026, 24(3): 100-110. (in Chinese)

[6]

季颖, 王建辉. 基于深度强化学习的微电网在线优化调度[J]. 控制与决策, 2022, 37(7): 1675-1684. Ji Ying, Wang Jianhui. Online optimal scheduling of a microgrid based on deep reinforcement learning[J]. Control and Decision, 2022, 37(7): 1675-1684. (in Chinese)

[7]

Mousavi Y, Alfi A, Kucukdemiral I B. Enhanced fractional chaotic whale optimization algorithm for parameter identification of isolated wind-diesel power systems[J]. IEEE Access, 2020, 8: 140862-140875.

[8]

李圣清, 邓娜, 颜石, 等. 基于改进蚁群动态规划的光储微网容量优化配置[J]. 太阳能学报, 2023, 44(2): 468-476. Li Shengqing, Deng Na, Yan Shi, et al. Optimal configuration optimization of PV energy storage microgrid using improved ant colony dynamic programming[J]. Acta Energiae Solaris Sinica, 2023, 44(2): 468-476. (in Chinese)

[9]

陈将宏, 时康昊, 胡佳慧, 等. 考虑弹性恢复的微电网经济优化调度[J]. 系统仿真学报, 2025, 37(3): 623-634. Chen Jianghong, Shi Kanghao, Hu Jiahui, et al. Economic optimal scheduling of microgrid considering elastic recovery[J]. Journal of System Simulation, 2025, 37(3): 623-634. (in Chinese)

[10]

谭玲玲, 汤伟, 楚冬青, 等. 考虑电-氢一体化的微电网低碳-经济协同优化调度[J]. 中国电力, 2024, 57(5): 137-148. Tan Lingling, Tang Wei, Chu Dongqing, et al. Low-carbon-economic collaborative optimal dispatching of microgrid considering electricity-hydrogen integration[J]. Electric Power, 2024, 57(5): 137-148. (in Chinese)

[11]

陈莉伟, 姚方, 马光辉. 考虑源荷交互的独立微电网分层优化调度[J]. 电网与清洁能源, 2021, 37(9): 83-91. Chen Liwei, Yao Fang, Ma Guanghui. Hierarchical optimal scheduling of the independent microgrid considering source-charge interaction[J]. Power System and Clean Energy, 2021, 37(9): 83-91. (in Chinese)

[12]

赵超, 王斌, 孙志新, 等. 基于改进灰狼算法的独立微电网容量优化配置[J]. 太阳能学报, 2022, 43(1): 256-262. Zhao Chao, Wang Bin, Sun Zhixin, et al. Optimal configuration optimization of islanded microgrid using improved grey wolf optimizer algorithm[J]. Acta Energiae Solaris Sinica, 2022, 43(1): 256-262. (in Chinese)

[13]

李练兵, 王兰超, 景睿雄, 等. 基于改进免疫粒子群算法的混合储能容量优化[J]. 电源学报, 2026, 24(2): 208-215. Li Lianbing, Wang Lanchao, Jing Ruixiong, et al. Capacity optimization of hybrid energy storage based on improved immune particle swarm optimization algorithm[J]. Journal of Power Supply, 2026, 24(2): 208-215. (in Chinese)

[14]

Peraza-Vázquez H, Peña-Delgado A, Ranjan P, et al. A bio-inspired method for mathematical optimization inspired by Arachnida salticidade[J]. Mathematics, 2022, 10(1): 102.

[15]

Rahman M H, Yamashiro S. Novel distributed power generating system of PV-ECaSS using solar energy estimation[J]. IEEE Transactions on Energy Conversion, 2007, 22(2): 358-367.

[16]

Belfkira R, Nichita C, Reghem P, et al. Modeling and optimal sizing of hybrid renewable energy system[C]//2008 13th International Power Electronics and Motion Control Conference. Poznan, Poland, 2008: 1834-1839.

[17]

秦昌民, 马兆兴, 陈昊, 等. 双碳目标下的新型微电网优化运行问题研究[J]. 电测与仪表, 2025, 62(3): 46-53. Qin Changmin, Ma Zhaoxing, Chen Hao, et al. Research on optimal operation of novel micro-grid under dual-carbon target[J]. Electrical Measurement & Instrumentation, 2025, 62(3): 46-53. (in Chinese)

[18]

丁明, 张颖媛, 茆美琴, 等. 包含钠硫电池储能的微网系统经济运行优化[J]. 中国电机工程学报, 2011, 31(4): 7-14. Ding Ming, Zhang Yingyuan, Mao Meiqin, et al. Economic operation optimization for microgrids including Na/S battery storage[J]. Proceedings of the CSEE, 2011, 31(4): 7-14. (in Chinese)

2026年第24卷第7期

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文章信息

doi: 10.13234/j.issn.2095-2805.2026.7.253

接收时间：2024-06-06
首发时间：2026-10-29
出版时间：2026-07-30

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出版历史

收稿日期：2024-06-06
修回日期：2024-09-02
录用日期：2024-09-20

基金

Natural Science Foundation of Hunan Province(2023JJ50176)

湖南省自然科学基金资助项目(2023JJ50176)

Key Scientific Research Project of Hunan Province Education Bureau(23A0441)

湖南省教育厅科学研究重点资助项目(23A0441)

作者信息

湖南工业大学交通与电气工程学院，株洲　412007

通讯作者:

匡洪海（1972—　），女，中国电源学会会员，通信作者，博士，教授。研究方向：电力系统运行与优化。E-mail：khhzyz@163.com。

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https://castjournals.cast.org.cn/joweb/dyxb/CN/10.13234/j.issn.2095-2805.2026.7.253

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2种不同金属材料的力学参数

科 Family	属数 Number of genus	种数 Number of species	占总种数比例 Percentage of total species (%)	属 Genus	种数 Number of species	占总种数比例 Percentage of total species (%)
鹅膏菌科Amanitaceae	2	11	5.26	鹅膏菌属 Amanita	10	4.78
小菇科 Mycenaceae	2	12	5.74	丝盖伞属 Inocybe	5	2.39
多孔菌科 Polyporaceae	8	14	6.70	蜡蘑属 Laccaria	5	2.39
红菇科 Russulaceae	3	23	11.00	小皮伞属 Marasmius	6	2.87
				小菇属 Mycena	11	5.26
				光柄菇属 Pluteus	5	2.39
				红菇属 Russula	17	8.13
				栓菌属 Trametes	5	2.39

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