引用本文:孟庆伟,肖尧,陈红州.基于事件触发的速动一次调频方法与控制策略[J].电力自动化设备,2021,41(1):
MENG Qingwei,XIAO Yao,CHEN Hongzhou.Quick primary frequency regulation method and control strategy based on event trigger[J].Electric Power Automation Equipment,2021,41(1):
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基于事件触发的速动一次调频方法与控制策略
孟庆伟, 肖尧, 陈红州
中国石油大学(华东)新能源学院,山东 青岛 266580
摘要:
在当前电力系统惯性相对较弱的情况下,速动一次调频技术对维持系统稳定尤为重要。以传统电厂的一次调频为基础,利用频率扰动信号在通信网中的传播速度大于其在电网中的传播速度的特性,提出速动一次调频的概念,在传统惯性作用区增加一次调频控制以提升系统的稳定性。为了实现速动一次调频,提出一种事件触发控制的全网速动一次调频方法,并给出事件触发后的单机速动一次调频控制策略。搭建2区域4机系统模型进行对比仿真研究,结果表明所提方法可以加快频率稳定性的恢复速度,减小频率的波动幅度。
关键词:  调频  速动一次调频  事件触发  电力系统惯性  2区域4机系统模型
DOI:10.16081/j.epae.202010027
分类号:TM761+.2
基金项目:国家重点研发计划项目(2018YFB0904800);中央高校基本科研业务费专项资金资助项目(18CX02113A)
Quick primary frequency regulation method and control strategy based on event trigger
MENG Qingwei, XIAO Yao, CHEN Hongzhou
College of New Energy, China University of Petroleum(East China),Qingdao 266580, China
Abstract:
In the condition of relatively weak system inertia, the quick primary frequency regulation technique is particularly important to maintain the system stability. Based on the primary frequency regulation of traditional power plant, the concept of quick primary frequency regulation is put forward by using the characteristic that the propagation speed of frequency disturbance signal in communication network is faster than that in power grid. In order to improve the system stability, a primary frequency regulation control is added in the traditional inertial action area. To realize quick primary frequency regulation, a quick primary frequency regulation method of the whole network with event trigger control is proposed, and a single machine quick primary frequency modulation control strategy after the event trigger is given. The two-area four-machine system model is built for comparative simulation, the results show that the proposed method can speed up the frequency stability recovery and reduce the frequency fluctuation amplitude.
Key words:  frequency regulation  quick primary frequency regulation  event trigger  inertia of power system  two-area four-machine system model

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