1. 国网河南省电力公司电力科学研究院,河南省,郑州市,450052
2. 国网河南省电力公司,河南省,郑州市,450000
3. 华北电力大学 能源动力与机械工程学院, 北京市 昌平区,102206
[ "张小科(1985),男,硕士,高级工程师,研究方向为电源调频技术、网源协调技术,E-mail:zxk5511@126.com" ]
[ "何成兵(1974),男,博士,副教授,通信作者,研究方向为储能电源一次调频技术, E-mail:hcbyy@126.com" ]
纸质出版:2026
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张小科, 夏大伟, 王景钢, 等. 电网一次调频中飞轮储能阵列的协调控制方法研究[J]. 现代电力, 2026,43(1):127-137.
张小科, 夏大伟, 王景钢, et al. Research on Coordinated Control Method for Flywheel Energy Storage Array in Primary Frequency Regulation of Power Grids[J]. 2026, 43(1): 127-137.
张小科, 夏大伟, 王景钢, 等. 电网一次调频中飞轮储能阵列的协调控制方法研究[J]. 现代电力, 2026,43(1):127-137. DOI: 10.19725/j.cnki.1007-2322.2023.0411.
张小科, 夏大伟, 王景钢, et al. Research on Coordinated Control Method for Flywheel Energy Storage Array in Primary Frequency Regulation of Power Grids[J]. 2026, 43(1): 127-137. DOI: 10.19725/j.cnki.1007-2322.2023.0411.
随着新能源装机容量不断增长,电网一次调频能力随之减弱,飞轮储能技术有益于提升电网频率稳定性和可靠性。针对该问题,提出一种飞轮储能阵列参与电网一次调频的协调控制方法。首先,基于飞轮储能阵列荷电状态(state of charge
SOC)值对下垂控制系数进行改进,通过引入下垂附加系数和附加出力值来获得飞轮储能阵列所需的调频功率。然后,提出定时段功率比例负荷分配优化策略,基于飞轮单元SOC将飞轮分组,并按定时段功率比例对分组后的飞轮进行负荷分配,考虑最大出力约束以防止功率越限,在满足电网一次调频功率需求的前提下,保证各飞轮单元的负荷分配更加均衡。同时,设计一次调频结束后的飞轮单元SOC自恢复策略。最后,通过仿真案例对所提协调控制方法进行验证,并与传统的负荷分配策略进行对比,结果表明所提方法能够更合理地分配负荷给各飞轮单元,提高飞轮储能阵列能量利用率,更好地响应电网频率变化,有利于保障电网的安全稳定运行。
The primary frequency regulation capacity of the power grid is continuously decreasing due to the rapid expansion of new energy installed capacity. The utilization of flywheel energy storage technology is beneficial for improving the frequency stability and reliability of the power grid. In This paper
we propose a coordinated control method for flywheel energy storage array (FESA) in primary frequency regulation of the power grid. Firstly
the droop control coefficient is improved based on the state of charge (SOC) of FESA. The required frequency regulation power of FESA is obtained by introducing the droop additional coefficient and additional output power. An optimization strategy is subsequently proposed for power proportion distribution within fixed time period. The flywheels are grouped based on the SOC of flywheel unit
while the load allocation is carried out on the grouped flywheels according to the power proportion within the fixed time period. The maximum output constraint is taken into account to prevent power from exceeding the limit. Under the premise of meeting the primary frequency regulation power requirements
the power allocation of each flywheel unit is ensured to be relatively balanced. Meanwhile
a self recovery strategy is designed for the flywheel unit SOC. The proposed coordinated control method is ultimately validated through simulation cases and compared with traditional load allocation strategies. The results indicate that the proposed method enables a more reasonable load allocation to various flywheel units
thereby enhancing the energy utilization efficiency of FESA. Additionally
it can better respond to frequency changes in power grids
contributing to ensuring the safe and stable operation of the power grid.
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