引用本文:陈长青,李欣然,张冰玉,等.基于多时间尺度的储能调峰调频协同控制策略[J].电力系统保护与控制,2022,50(5):94-105.
CHEN Changqing,LI Xinran,ZHANG Bingyu,et al.Energy storage peak and frequency modulation cooperative control strategy based on multi-time-scale[J].Power System Protection and Control,2022,50(5):94-105
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基于多时间尺度的储能调峰调频协同控制策略
陈长青1,2,李欣然1,张冰玉3,阳同光2
(1.湖南大学电气与信息工程学院,湖南 长沙 410082;2.智慧城市能源感知与边缘计算省重点实验室 (湖南城市学院),湖南 益阳 413000;3.国网浙江湖州市德清县供电有限公司,浙江 湖州 310000)
摘要:
储能(Energy Storage, ES)仅参与电网单一场景(调峰或调频)控制,利用率低。首先,提出一种基于ES荷电状态(State of charge, SoC)的调峰调频工作区域划分方法和协同控制策略,可实现ES在调峰与调频控制间切换,进而提高利用率。其次,为进一步提高ES调峰调频效果,在调峰单一场景中分别提出变功率调峰策略和虚拟惯性与下垂控制相结合的综合调频控制策略。然后,在此基础上进一步提出调峰调频协同控制策略。最后,通过仿真实例发现,相比单调峰与单调频控制,基于多时间尺度的协同控制策略,ES利用率分别提高了16.25%与37.29%,说明了该方法和策略的可行性。
关键词:  储能  调峰  调频  协同控制策略
DOI:DOI: 10.19783/j.cnki.pspc.210857
分类号:
基金项目:国家重点研发计划项目资助(2017YFB0903400)
Energy storage peak and frequency modulation cooperative control strategy based on multi-time-scale
CHEN Changqing1, 2, LI Xinran1, ZHANG Bingyu3, YANG Tongguang2
(1. College of Electrical and Information Engineering, Hunan University, Changsha 410082, China; 2. Hunan Provincial Key Laboratory of Smart City Energy Perception and Edge Computing, Hunan City University, Yiyang 413000, China; 3. State Grid Zhejiang Huzhou Deqing Power Supply Co., Ltd., Huzhou 310000, China)
Abstract:
Energy Storage (ES) participates in the control of a single scenario (peak regulation or frequency modulation) of the power grid, and the utilization rate is low. A peak-FM working area division method and cooperative control strategy based on ES State of Charge (SoC) are proposed. This strategy can realize ES switching between peak modulation and frequency modulation control, and then improve the utilization rate. Then, to further improve the effect of ES peak modulation, a variable power peak modulation strategy and integrated frequency modulation control strategy combining virtual inertia and droop control are proposed respectively in a single peak modulation scene. From here a cooperative control strategy of peak and frequency modulation is proposed. Finally, a simulation example shows that compared with monotone peak control and single frequency modulation control, the utilization rate of ES is improved by 16.25% and 37.29% respectively based on multi-timescale cooperative control strategy. This shows the feasibility of the method and strategy. This work is supported by the National Key Research and Development Program of China (No. 2017YFB0903400).
Key words:  energy storage  peak shaving  frequency regulation  cooperative control strategy
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