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Optimal Scheduling of Cooling Heating and Power Microgrid Based on Improved Sparrow Algorithm
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Hong-hai KUANG1, Xing-yu LI1, Kai WANG2, Yu-peng YIN1, Zi-long LI1
Science Technology and Engineering | 2025, 25(19) : 8108 - 8116
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Science Technology and Engineering | 2025, 25(19): 8108-8116
• Papers∙Electrical Technology •
Optimal Scheduling of Cooling Heating and Power Microgrid Based on Improved Sparrow Algorithm
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Hong-hai KUANG1, Xing-yu LI1, Kai WANG2, Yu-peng YIN1, Zi-long LI1
Affiliations
  • 1 School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, China
  • 2 Zhuzhou Flyover Crane Co., Ltd., Zhuzhou 412001, China
Published: 2025-07-08 doi: 10.12404/j.issn.1671-1815.2407316
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In order to make rational and efficient use of biomass resources, considering the operating cost and environmental cost of each microsource unit, an economic dispatching model of combined cooling heating and power microgrid based on improved biomass gasification was designed. In order to solve the problem that the sparrow search algorithm is easy to fall into the local optimum, an improved sparrow search algorithm(ISSA) was proposed to solve the proposed model. First, a sine chaos map was used to generate spatially evenly distributed early sparrow populations. Secondly, a mutually beneficial learning mechanism was added and a mutation strategy was introduced to enhance the information sharing and global search ability among individuals in this field. Finally, by comparing the iterative results of ISSA, SSA, gray wolf algorithm, whale algorithm and marine predator algorithm, it is proved that ISSA has good optimization effect and stability. Through the analysis of typical simulation cases, the effectiveness of the ISSA algorithm in solving the economic dispatching problem of combined cooling, heating and power microgrid is verified.

microgrids  /  ISSA  /  biomass gasification  /  chaos mapping  /  mutually beneficial learning
Hong-hai KUANG, Xing-yu LI, Kai WANG, Yu-peng YIN, Zi-long LI. Optimal Scheduling of Cooling Heating and Power Microgrid Based on Improved Sparrow Algorithm[J]. Science Technology and Engineering, 2025 , 25 (19) : 8108 -8116 . DOI: 10.12404/j.issn.1671-1815.2407316
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Year 2025 volume 25 Issue 19
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Article Info
doi: 10.12404/j.issn.1671-1815.2407316
  • Receive Date：2024-09-30
  • Online Date：2025-12-22
  • Published：2025-07-08
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  • Received：2024-09-30
  • Revised：2025-01-02
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Affiliations
    1 School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, China
    2 Zhuzhou Flyover Crane Co., Ltd., Zhuzhou 412001, China
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表12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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