电化学储能参与电力系统规划运行方法综述

doi:10.3969/j.issn.2097-0706.2022.06.004

综合智慧能源 ›› 2022, Vol. 44 ›› Issue (6): 37-44.doi: 10.3969/j.issn.2097-0706.2022.06.004

电化学储能参与电力系统规划运行方法综述

彭占磊¹(), 杨之乐¹^,^*(), 杨文强², 李慷³()

1.中国科学院深圳先进技术研究院,广东深圳 518055
2.河南科技学院机电学院,河南新乡 453003
3.利兹大学电子与电气工程学院,英国利兹 LS2 9JT

收稿日期:2022-04-06 修回日期:2022-05-19 出版日期:2022-06-25 发布日期:2022-06-27
通讯作者: 杨之乐
作者简介:彭占磊（1996）,男,在读硕士研究生,从事智能优化算法及其在电力系统中的应用研究, zl.peng@siat.ac.cn;
杨文强（1982）,男,讲师,博士,从事生产制造系统建模、优化与调度研究;
李慷（1968）,男,教授,博士,从事自动控制、智慧能源、能量管理、储能系统等方面的研究, k.li1@leeds.ac.uk。
基金资助:
国家自然科学基金面上项目(52077213);国家自然科学基金青年项目(62003332)

Review on planning and operation methods for power system with participation of electrochemical energy storage systems

PENG Zhanlei¹(), YANG Zhile¹^,^*(), YANG Wenqiang², LI Kang³()

1. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
2. School of Mechanical and Electrical Engineering, Henan Institute of Science and Technology, Xinxiang 453003, China
3. School of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT,UK

Received:2022-04-06 Revised:2022-05-19 Online:2022-06-25 Published:2022-06-27
Contact: YANG Zhile

摘要/Abstract

摘要：

风电、光伏等新能源存在间歇性和波动性缺陷,难以实现大规模并网。电池储能技术具有响应速度快、调节精度高、环境友好、体积小且灵活等优点,是解决上述问题的关键技术。为加快推动电化学储能在电力系统中的应用,减少化石能源消耗,实现“碳达峰,碳中和”目标,对电化学储能在促进新能源消纳、调峰、调频等应用场景的容量配置和调度策略进行系统分析,总结归纳了电化学储能参与电力系统规划与运行的方法。最后指出,未来将基于人工智能技术对电化学储能参与的电力系统规划与运行问题进行求解优化,进一步提高电力系统的稳定性和可靠性。

关键词: 碳中和, 电化学储能, 新能源消纳, 调峰调频, 容量配置, 运行调度优化, 人工智能

Abstract:

The intermittence and fluctuation of wind and PV power deters their large-scale grid-connection. Battery energy storage technology is an excellent solution for the predicament above since it is of fast response, high regulation accuracy, environmental protection, small size and flexibility. In order to promote the application of electrochemical energy storage technology in power systems, reduce fossil energy consumption, and achieve the goals of carbon peaking and carbon neutrality, the capacity configurations and scheduling strategies of electrochemical energy storage systems in different utilization scenarios,such as facilitating new energy consumption, peak-load shaving and frequency modulation,are analysed and summarized. The optimization on planning and operation a power system with the participation of electrochemical energy storage devices will be made based on the operating AI, to further improve the stability and reliability of power system.

Key words: carbon neutrality, electrochemical energy storage, new energy consumption, peak regulation and frequency regulation, capacity allocation, scheduling optimization, AI

中图分类号:

TK02：TM732

彭占磊, 杨之乐, 杨文强, 李慷. 电化学储能参与电力系统规划运行方法综述[J]. 综合智慧能源, 2022, 44(6): 37-44.

PENG Zhanlei, YANG Zhile, YANG Wenqiang, LI Kang. Review on planning and operation methods for power system with participation of electrochemical energy storage systems[J]. Integrated Intelligent Energy, 2022, 44(6): 37-44.

图/表 5

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电化学储能参与电力系统规划运行方法综述

Review on planning and operation methods for power system with participation of electrochemical energy storage systems

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参考文献 52

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场景	方法	文献
平抑波动	抗脉冲平均滤波	[22]
	一阶巴特沃思滤波	[23]
	小波分解算法	[22]
	离散傅里叶变换	[24]
	经验模态分解	[27]
促进消纳	多目标进化算法	[29]
	调制蝙蝠算法（MBA）	[28]
	Cplex	[22]
	灰狼优化（GWO）算法	[50]
调峰	比例分摊法	[40]
	核密度估计	[31]
	遗传算法	[49]
	基于预测区间的削峰填谷控制策略	[36]
	上层：序列二次规划;下层：内点法	[34]
	Fréchet 算法	[43]
	基于模拟退火的Q学习算法	[51]
	粒子群优化	[10]
	NSGAII	[52]
调频	粒子群算法	[46]
	傅里叶变换	[11]
	模糊自适应PID控制算法	[37]
调峰、调频	Cplex	[48]
调峰、调频	利用逆变器空闲容量	[47]

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