北华大学学报（自然科学版）2025，Vol.26Issue(3)：413-420,8.DOI:10.11713/j.issn.1009-4822.2025.03.021
基于改进麻雀算法含电转气微电网容量配置
Capacity Configuration of Microgrid with Power-to-Gas Based on Improved Sparrow Search Algorithm
摘要
Abstract
In the context of low-carbon economy,power-to-gas(P2G)technology with the ability to dissipate wind and solar power and capture capabilities is an important supporting technology for microgrid systems to achieve clean and low-carbon energy utilization.In order to further improve the economy and low carbon of power-to-gas microgrid,an improved sparrow search algorithm for power-to-gas microgrid is proposed.Firstly,the function and constraint conditions of the equipment inside the microgrid are introduced.Secondly,based on the traditional sparrow search algorithm,the discoverer mechanism,the detection factor and the drosophila disturbance are improved.Use the improved sparrow algorithm to solve the microgrid model,and compare the capacity configuration with the traditional sparrow search algorithm and whale algorithm to verify the effectiveness of the model and algorithm.关键词
微电网/电转气/优化调度/改进麻雀算法Key words
microgrid/P2G/optimal scheduling/improved sparrow search algorithm分类
信息技术与安全科学引用本文复制引用
高钰博,徐欣欣,孟祥,杜艳丽..基于改进麻雀算法含电转气微电网容量配置[J].北华大学学报（自然科学版）,2025,26(3):413-420,8.基金项目
吉林省科技厅科技发展计划项目(20220203112SF) （20220203112SF）
吉林省教育厅科学技术研究项目(JJKH20210039KJ). （JJKH20210039KJ）
