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

作　　者：高钰博 徐欣欣 孟祥[1] 杜艳丽[1] GAO Yubo;XU Xinxin;MENG Xiang;DU Yanli(Electrical and Information Engineering College of Beihua University,Jilin 132021,China)

机构地区：[1]北华大学电气与信息工程学院,吉林吉林132021

出　　处：《北华大学学报(自然科学版)》2025年第3期413-420,共8页Journal of Beihua University(Natural Science)

基　　金：吉林省科技厅科技发展计划项目(20220203112SF);吉林省教育厅科学技术研究项目(JJKH20210039KJ)。

摘　　要：在低碳经济背景下,具有弃风、弃光消纳和碳捕获能力的电转气(P2G)技术是微电网系统实现能源清洁、低碳化利用的重要支撑技术。为了进一步提高含电转气微电网的经济性和低碳性,提出一种可用于含电转气微电网的改进麻雀算法。引入微电网内部设备的函数与约束条件;在传统麻雀算法基础上改进发现者机制、侦察因子,增加果蝇扰动;用改进麻雀算法求解微电网模型,并与传统麻雀算法和鲸鱼算法进行容量配置对比,验证模型及算法的有效性。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 

分 类 号：TM76[电气工程—电力系统及自动化]