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计及储能电池寿命衰减的居民小区光储优化配置OA

Optimal configuration of photovoltaic energy storage systems in residential communities taking into account energy storage battery life decay

中文摘要英文摘要

在居民小区配置光伏系统可减小电力系统的供电压力,配置储能装置能够减小光伏弃光率,同时还可以实现负荷的时空转移,减小负荷峰谷差.为使居民小区光储系统的配置更加合理,利用充放电次数和放电深度对储能电池寿命的影响,通过改进曲线拟合方法及线性分段处理方法,获得更加准确的曲线拟合函数和与原曲线更加贴合的分段线性函数,建立储能电池动态损耗模型;以光储系统年均净收益最大和负荷峰谷差最小为目标函数,对光储系统进行优化配置;最后使用不同权重求解方法得到光伏出力值及负荷需求值,采用多目标粒子群算法对在不同运行场景下的居民小区光储系统配置问题进行求解,并通过仿真对比分析不同运行场景下光储系统的运行策略.结果表明,居民小区储能系统在并网场景下的经济性和削峰填谷效果更佳,所采用模型合理有效,可为居民小区光储系统的规划建设提供参考.

Configuration of photovoltaic systems in residential communities can reduce the power supply pressure of the power system,and configuration of energy storage devices can reduce the photovoltaic light abandonment rate,while realizing the temporal and spatial transfer of loads,and reducing the peak-valley difference of loads.In order to make the configuration of photovoltaic storage system in residential communities more reasonable,the influence of the number of charge/discharge and the depth of charge/discharge on the life of the storage battery is adopted,and the dynamic loss model of the storage battery is established through the improvement of the curve-fitting method and the linear segmentation processing method,to obtain a more accurate curve-fitting function and a segmented linear function that is more appropriate to the original curve.The maximum average annual net return is taken as the objective function,and the photovoltaic storage system is optimized.Finally,the photovoltaic output value and load demand value are obtained by using different weight solving methods.The multi-objective particle swarm algorithm is used to simulate the configuration of photovoltaic storage system in residential communities under different operation scenarios.The opera-tion strategy of the optical storage system under different operation scenarios is analyzed by comparison simulation.The results show that the operation of the residential district storage system is more effective in terms of economy and peak shaving under the grid-connected scenarios,and the rationality and effectiveness of the model adopted are verified,which provides a reference for the planning and construction of residential district optical storage system.

商立群;张建涛

西安科技大学电气与控制工程学院,西安 710054西安科技大学电气与控制工程学院,西安 710054||大运汽车股份有限公司,山西 运城 044000

居民小区储能电池寿命光储系统优化配置

residential communitiesenergy storage battery lifephotovoltaic energy storage systemsoptimal configuration

《电气技术》 2024 (002)

1-11,20 / 12

陕西省自然科学基础研究计划资助项目(2021JM-393)

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