计及多类型储能全寿期动态投资归算的高占比新能源系统爬坡灵活性协同规划

曹昉; 王淳奕; 郑金钊

doi:10.19912/j.0254-0096.tynxb.2024-0983

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太阳能学报 ›› 2025, Vol. 46 ›› Issue (10) : 45-55. DOI: 10.19912/j.0254-0096.tynxb.2024-0983

计及多类型储能全寿期动态投资归算的高占比新能源系统爬坡灵活性协同规划

曹昉¹, 王淳奕¹, 郑金钊²

作者信息 +

RAMPING FLEXIBILITY COLLABORATIVE PLANNING OF HIGH PROPORTION OF RENEWABLE ENERGY POWER SYSTEM CONSIDERING LIFESPAN DYNAMIC INVESTMENT OF MULTI-TYPES ENERGY STORAGE

Cao Fang¹, Wang Chunyi¹, Zheng Jinzhao²

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文章历史 +

摘要

为进一步提高电力系统爬坡灵活性,提出计及多类型储能全寿期动态投资归算的高占比新能源系统爬坡灵活性协同规划方法。首先,考虑到储能的最大充放电功率及SOC特性随运行寿命的延长有明显衰减,在后续运行期间需对储能逐年追加装设容量,故在实验数据基础上建立储能全寿期衰减模型,并据此提出计及追加投资的全寿期动态投资归算方法;其次,在将储能按照充放电速度和单位容量投资进行分类的基础上,构建高占比新能源系统多类型储能及煤电改造一体化的爬坡灵活性协同规划配置模型;再次,基于系统爬坡需求对不同类型储能的放电速度要求、可用SOC要求以及煤电改造要求,将大规模多变量模型分成多个阶段的小规模求解过程,每一阶段求解部分未知变量;最后,采用改进的IEEE 30节点为算例,验证所提模型的正确性及有效性。

Abstract

In order to further improve the power system ramping flexibility, this paper puts forward the method of ramping flexibility collaborative planning of high proportion of renewable energy power system considering lifespan dynamic investment of multi-types energy storage. Firstly, considering that the maximum charging and discharging power and state of charge （SOC） characteristics of energy storage shows obvious deterioration over their service lifespan, additional capacity needs to be installed each year during subsequent operation, therefore, this paper established a lifespan deterioration model for energy storage based on experimental data and proposed a dynamic investment allocation method that takes into account the additional investment during the lifespan. Secondly, based on the classification of energy storage by charging and discharging speed and unit capacity investment, a multi-type energy storage and coal fired power plant transformation integrated ramping flexibility coordinated planning and configuration model was established for high proportion of new energy systems. Thirdly, based on the ramping requirements of different types of energy storage and coal fired power plant transformation, the large-scale multi-variable model was divided into multiple stages of small-scale solution processes, in which the unknown variables were solved in each stage. Finally, the IEEE 30-node system was used as an example to verify the correctness and effectiveness of the proposed model.

导出引用

曹昉, 王淳奕, 郑金钊. 计及多类型储能全寿期动态投资归算的高占比新能源系统爬坡灵活性协同规划[J]. 太阳能学报. 2025, 46(10): 45-55 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0983

Cao Fang, Wang Chunyi, Zheng Jinzhao. RAMPING FLEXIBILITY COLLABORATIVE PLANNING OF HIGH PROPORTION OF RENEWABLE ENERGY POWER SYSTEM CONSIDERING LIFESPAN DYNAMIC INVESTMENT OF MULTI-TYPES ENERGY STORAGE[J]. Acta Energiae Solaris Sinica. 2025, 46(10): 45-55 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0983

中图分类号： TM715

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