考虑柔性负荷的储能系统容量配置优化

赵婉竹 ,  陈振乾

科学技术与工程 ›› 2024, Vol. 24 ›› Issue (30) :12977-12984

PDF (5341KB)
科学技术与工程 ›› 2024, Vol. 24 ›› Issue (30) :12977-12984 DOI: 10.12404/j.issn.1671-1815.2401285
能源与动力工程

考虑柔性负荷的储能系统容量配置优化

作者信息 +

Optimization of Energy Storage System Capacity Allocation Considering Flexible Load

Author information +
文章历史 +

摘要

为优化储能系统容量配置,提高经济性和节能效果、实现系统的削峰填谷,从源-荷两侧出发,基于MATLAB平台搭建了考虑柔性用能的储能容量优化配置模型,在投资运行成本最低和碳排放量最少的基础上,又提出了考虑系统源-荷匹配程度、负荷曲线平缓程度、综合能源利用率以及用电舒适度等多优化目标的综合评价方法。通过南京江北能源站具体算例结果表明,柔性负荷调节参与配置后不仅能提高系统整体运行经济性和环保性,还能在保障用户舒适度的前提下提高综合能源利用率并达到削峰填谷的目的,实现源-荷之间的友好互动,缓解电网压力。

Abstract

In order to optimize the capacity allocation of the energy storage system, improve the economy and energy saving effect, and realize the peak shaving and valley filling of the system, based on the MATLAB platform, an optimal allocation model of energy storage capacity considering flexible load was built. Meanwhile, a comprehensive evaluation method was proposed considering multiple optimization objectives such as the matching degree of system source and load, the smoothness of load curve, the comprehensive energy utilization rate and the comfort of electricity consumption on the basis of the lowest investment and operation cost and the least carbon emissions. The results of Nanjing Jiangbei Energy Station show that the flexible load adjustment can not only improve the overall operation economy and environmental effectiveness of the system, but also improve the comprehensive energy utilization rate and achieve the purpose of peak shaving and valley filling under the premise of ensuring comfort, realize the friendly interaction between source and load, and alleviate the pressure on the power grid.

关键词

柔性负荷 / 储能配置 / 多目标优化 / 削峰填谷

Key words

flexible load / energy storage configuration / multi-objective optimization / peak shaving and valley filling

引用本文

引用格式 ▾
赵婉竹, 陈振乾. 考虑柔性负荷的储能系统容量配置优化[J]. 科学技术与工程, 2024, 24(30): 12977-12984 DOI:10.12404/j.issn.1671-1815.2401285
ZHAO Wan-zhu, CHEN Zhen-qian. Optimization of Energy Storage System Capacity Allocation Considering Flexible Load[J]. Science Technology and Engineering, 2024, 24(30): 12977-12984 DOI:10.12404/j.issn.1671-1815.2401285

登录浏览全文

4963

注册一个新账户 忘记密码

参考文献

PDF (5341KB)

37

访问

0

被引

详细

导航
相关文章

/

〈 〉