基于改进SSA的风光氢储综合供电系统配置优化

孟军磊; 林玉杰; 孙德明; 戚瑜敏; 马昕霞; 官贞珍; 谢金龙

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DOI:10.3969/j.issn.2096-8299.2023.06.007

上海电力大学学报:2023,39(6):557-562

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基于改进SSA的风光氢储综合供电系统配置优化

孟军磊¹, 林玉杰², 孙德明², 戚瑜敏², 马昕霞², 官贞珍², 谢金龙³

(1.上海电力建设启动调整试验所有限公司锅炉所;2.上海电力大学能源与机械工程学院;3.新加坡国立大学设计与工程学院)

Optimization for Wind-Solar-Hydrogen Power Supply System Based on Improved Sparrow Search Algorithm

MENG Junlei¹, LIN Yujie², SUN Deming², QI Yumin², MA Xinxia², Guan Zhenzhen², Xie Jinlong³

(1.Boiler Institute, Shanghai Electric Power Construction Start-up Adjustment Laboratory Co., Ltd., Shanghai 200030, China;2.School of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 200090, China;3.College of Design and Engineering, National University of Singapore, Singapore 119077, Singapore)

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投稿时间：2023-07-10

中文摘要: 在保障风光氢储综合供电系统可靠性的前提下，为最大限度地降低单位发电成本，提升系统整体的经济性，提出了一种引入自立策略的改进麻雀搜索算法（SSA），并根据该方法对风光氢储综合供电系统电源容量配置进行了优化。建立以最小化单位发电成本为目标函数的优化模型，采用改进SSA算法进行求解。研究结果显示：该算法具有较好的寻优能力，系统单位发电成本降低了23.3%。

中文关键词: 风力发电光伏发电氢储能容量优化配置改进麻雀搜索算法

Abstract:On the premise of ensuring the reliability of the wind solar-hydrogen-storage integrated power supply system, in order to minimize the unit power generation cost and improve the overall economy of the system, a sparrow search algorithm based on self-reliance strategy is proposed, and the power capacity configuration of the wind-solar-hydrogen storage integrated power supply system is optimized based on this method.An optimization model is established that minimizes the unit power generation cost as the objective function, and an improved algorithm is used to solve it.The results show that the algorithm has good optimization ability, reducing the unit power generation cost of the system by 23.5%.

keywords: wind power generation photovoltaic power generation hydrogen energy storage capacity optimization configuration improved sparrow search algorithm

文章编号：20236007 中图分类号：TM715 文献标志码：

基金项目:

Author Name	Affiliation	E-mail
MENG Junlei	Boiler Institute, Shanghai Electric Power Construction Start-up Adjustment Laboratory Co., Ltd., Shanghai 200030, China
LIN Yujie	School of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
SUN Deming	School of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
QI Yumin	School of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
MA Xinxia	School of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 200090, China	maxinxia@shiep.edu.cn
Guan Zhenzhen	School of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
Xie Jinlong	College of Design and Engineering, National University of Singapore, Singapore 119077, Singapore

引用文本：
孟军磊,林玉杰,孙德明,等.基于改进SSA的风光氢储综合供电系统配置优化[J].上海电力大学学报,2023,39(6):557-562.
MENG Junlei,LIN Yujie,SUN Deming,et al.Optimization for Wind-Solar-Hydrogen Power Supply System Based on Improved Sparrow Search Algorithm[J].Journal of Shanghai University of Electric Power,2023,39(6):557-562.

作者	单位	E-mail
孟军磊	上海电力建设启动调整试验所有限公司锅炉所
林玉杰	上海电力大学能源与机械工程学院
孙德明	上海电力大学能源与机械工程学院
戚瑜敏	上海电力大学能源与机械工程学院
马昕霞	上海电力大学能源与机械工程学院	maxinxia@shiep.edu.cn
官贞珍	上海电力大学能源与机械工程学院
谢金龙	新加坡国立大学设计与工程学院