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极地条件下计及电池容量衰减的微电网容量优化配置

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随着极地科考力度的加大,能源需求迅速增加,以燃油为主的极地用能所带来的环境污染和碳排放问题已不容小觑,亟须构建以清洁可再生能源为主的微电网系统以保证极地科考绿色可持续发展.文中通过分析南极科考站的资源特性,选择风光储微电网结构,建立系统容量优化配置模型.极地环境复杂多样,对储能系统影响较显著,为保证微电网未来运行具有更好的适应能力,在配置阶段详细考虑了储能容量衰减对微电网系统经济效益的影响,分析了温度、充放电倍率、循环次数对电池容量的影响,建立基于自适应灰色关联分析法的多因素耦合的电池容量衰减模型,并将其纳入优化配置模型,使用改进粒子群算法对南极科考站进行算例求解与分析.算例仿真结果表明,考虑储能容量衰减的微电网配置方案可降低电池过充、过放概率,延长电池的使用寿命,更适用于极地.
Optimal allocation of microgrid capacity taking into account battery capacity attenuation under polar conditions
With the intensification of polar scientific research,the demand for energy is increasing rapidly,and the environmental pollution and carbon emissions caused by polar energy consumption dominated by fuel cannot be underestimated.It is urgent to build a microgrid system based on clean and renewable energy to ensure the green and sustainable development of polar scientific research.Based on the analysis of the resource characteristics of the Antarctic research station,the wind-solar microgrid structure is selected and the system capacity optimization configuration model is established in this paper.The polar environment is complex and diverse,which has a significant impact on the energy storage system.In order to ensure the future operation of the microgrid with better adaptability,the influence of energy storage capacity attenuation on the economic benefits of the microgrid system is considered in detail in the configuration stage,and the influence of temperature,charge-discharge rate and cycle times on the battery capacity is analyzed.A multi-factor coupling battery capacity attenuation model based on adaptive grey relational analysis is established,and it is incorporated into the optimal configuration model.An example of Antarctic scientific research station is solved and analyzed by using improved particle swarm optimization.The simulation results show that the microgrid configuration scheme considering energy storage capacity attenuation can reduce the probability of battery overcharge and overdischarge,extend the service life of the battery,and is more suitable for polar regions.

Antarctic research stationadaptive grey relational analysismicrogridbattery capacity attenuationoptimal alloca-tionimproved particle swarm optimization algorithm

李婷婷、孟润泉、魏斌、马跃

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太原理工大学电气与动力工程学院,山西太原 030024

南极科考站 自适应灰色关联分析法 微电网 电池容量衰减 优化配置 改进粒子群算法

山西省重点研发计划山西省能源互联网研究院重大科研支撑项目

202102060301020SXEI2023A001

2024

10.12158/j.2096-3203.2024.03.017

电力工程技术
江苏省电力公司 江苏省电机工程学会

电力工程技术

CSTPCD北大核心
影响因子：0.969
ISSN：2096-3203
年,卷(期)：2024.43(3)
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