能源与节能2024,Issue(5) :1-4.

基于改进NSGA-Ⅱ算法的风光互补发电系统储能控制优化

Energy Storage Control Optimization of Wind Solar Complementary Power Generation System Based on Improved NSGA-Ⅱ Algorithm

付宏力 奥淇仑 王陶
能源与节能2024,Issue(5) :1-4.

基于改进NSGA-Ⅱ算法的风光互补发电系统储能控制优化

Energy Storage Control Optimization of Wind Solar Complementary Power Generation System Based on Improved NSGA-Ⅱ Algorithm

付宏力 1奥淇仑 1王陶2
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作者信息

  • 1. 内蒙古电力(集团)有限责任公司内蒙古电力科学研究院,内蒙古 呼和浩特 010020
  • 2. 内蒙古电力(集团)有限责任公司航检分公司,内蒙古 呼和浩特 010000
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摘要

风光互补技术带来了稳定的能源储存,但同时也存在着能量密度低及时间地区分布杂乱等问题.因此,现提出基于改进NSGA-Ⅱ算法的风光互补发电系统储能控制优化方法.基于改进NSGA-Ⅱ算法构建储能模型,保留多种能量存储单元特点,能够高效、可靠地保证风光互补发电系统的供电可靠性;风光互补发电系统的能源转换,可以优化风光互补发电系统的容量.实验结果表明:提出的基于改进NSGA-Ⅱ算法的风光互补发电系统储能控制优化方法的平均储能功率为 2.35 MW,方法 1 的平均储能功率要远远小于所提出的方法,证明所提出的风光互补发电系统储能控制优化方法具有重要的实际应用价值.

Abstract

The complementary technology of wind and solar energy has brought stable energy storage,but at the same time,there are also problems such as low energy density and chaotic temporal and regional distribution.Therefore,an improved NSGA-Ⅱ algorithm based optimization method for energy storage control in wind solar complementary power generation systems was proposed.Based on the improved NSGA-Ⅱ algorithm,an energy storage model was constructed,retaining the characteristics of multiple energy storage units,which can efficiently and reliably ensure the power supply reliability of the wind solar complementary power generation system;energy conversion of the wind solar complementary power generation system was carried out to optimize the capacity of the wind solar complementary power generation system.The experimental results showed that the average energy storage power result of the proposed energy storage control optimization method for wind solar complementary power generation system based on the improved NSGA-Ⅱ algorithm was 2.35 MW,and the average energy storage power result of Method 1 was much smaller than that of the method proposed,which can prove that the energy storage control optimization method proposed for wind solar complementary power generation system has important practical application value.

关键词

储能优化/发电系统/风光互补/改进NSGA-Ⅱ算法

Key words

energy storage optimization/power generation system/wind solar complementary/improved NSGA-Ⅱ algorithm

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出版年

2024
能源与节能
山西省能源研究会 山西省节能研究会

能源与节能

影响因子:0.561
ISSN:2095-0802
参考文献量10
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