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1.电网智能化调度与控制教育部重点实验室(山东大学),山东省济南市 250061
2.南瑞集团有限公司(国网电力科学研究院有限公司),江苏省南京市 211106
3.智能电网保护和运行控制国家重点实验室,江苏省南京市 211106
曹永吉(1992—),男,博士后,主要研究方向:电力系统频率稳定分析与控制、可再生能源并网及储能技术应用。E-mail:caoyongji_sdu@163.com
张恒旭(1975—),男,通信作者,博士,教授,博士生导师,主要研究方向:电力系统稳定分析与控制、电力系统监测、电力系统数值仿真。E-mail:zhanghx@sdu.edu.cn
张怡(1991—),女,博士研究生,主要研究方向:电力系统分析与控制。E-mail:zhangyi_sdu@163.com
收稿日期:2021-02-10,
修回日期:2021-06-07,
网络出版日期:2021-07-23,
纸质出版日期:2021-10-10
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曹永吉,张恒旭,张怡等.基于事件驱动的机组快速频率响应控制方法[J].电力系统自动化,2021,45(19):148-154.
CAO Yongji,ZHANG Hengxu,ZHANG Yi,et al.Event-driven Fast Frequency Response Control Method for Generator Unit[J].Automation of Electric Power Systems,2021,45(19):148-154.
曹永吉,张恒旭,张怡等.基于事件驱动的机组快速频率响应控制方法[J].电力系统自动化,2021,45(19):148-154. DOI: 10.7500/AEPS20210210001.
CAO Yongji,ZHANG Hengxu,ZHANG Yi,et al.Event-driven Fast Frequency Response Control Method for Generator Unit[J].Automation of Electric Power Systems,2021,45(19):148-154. DOI: 10.7500/AEPS20210210001.
针对大功率缺额事故下机组一次调频基于反馈控制动作存在滞后性的问题,提出了基于事件驱动的快速频率响应(EFFR)控制方法。首先,阐述EFFR概念的内涵,设计其体系架构及动作方案,利用特定的扰动事件信号触发紧急控制模式并快速调节机组出力。其次,基于扩展系统频率响应模型以周期性预决策的方式提取扰动功率及EFFR功率大小与低频减载动作间的耦合关系,估计预想事故场景下系统的EFFR需求功率。然后,以控制成本最小为目标优化分配EFFR需求功率,计算响应机组的控制指令。最后,通过算例分析验证了所提方法的有效性。
Aiming at the problem of hysteretic nature existed in the primary frequency regulation of the generator unit based on the feedback control law after large power deficits
an event-driven fast frequency response (EFFR) control method is proposed. First
the connotation of EFFR is elaborated
of which the system architecture and operation scheme are designed. The specific disturbance event signals are used to trigger the emergency control mode and adjust the output of generator units promptly. Then
an extended system frequency response model is established to extract the coupling relationship among the disturbance power
EFFR power and the under-frequency load shedding operation by the periodic pre-decision method
on which the required EFFR power of the system can be estimated in the preconceived accident scenario. Additionally
with the objective of minimizing the control cost
the required EFFR power is distributed optimally
and the control commands for response generator units are calculated. Finally
a case study is carried out to validate the effectiveness of the proposed method.
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