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一种动态分层的互联电网AGC控制策略 被引量:9

AGC Control Strategy of Interconnected Power Grid Based on Dynamic Stratification
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摘要 大规模可再生能源的并网,使电力系统供需的不确定性增加,自动发电控制(automatic generation control,AGC)方法的固定模式将难以平衡调频需求的多样性与控制策略针对性之间的矛盾。对此展开研究,提出了一种基于动态分层的互联电网AGC控制策略。首先,在多区域互联电网AGC模型基础上,设计了两层控制框架,上层采用模型预测控制,对全局进行优化控制,下层采用传统比例积分微分(proportionalintegralderivative,PID)控制器,实现单区域AGC机组的实时控制;然后,根据各区域控制偏差,设计动态分层策略,旨在保证控制效果的基础上,根据调频需求的多样性进行控制架构的调整,有效节约系统资源。仿真结果表明:与固定结构形式的AGC控制方式相比,动态分层的AGC控制架构,能够在保证电网频率控制效果基本不变的前提下,减少上层全局控制器的参与度,从而降低互联电网AGC系统在线运行复杂度。 The grid connection of large-scale renewable energy increases the uncertainty of power system supply and demand, and the fixed mode of automatic generation control(AGC) method will be difficult to balance the contradiction between the diversity of frequency modulation demand and the direction of control strategy. In this paper, an AGC control strategy based on dynamic stratification is proposed. Firstly, a two-layer control framework is designed based on the AGC model of multi-area interconnected power network. The upper layer adopts the model predictive control for global optimal control, while the lower layer adopts the traditional proportional integral differential(PID) controller to realize the real-time control of single-area AGC units. Then, the dynamic stratification strategy is designed according to the control deviation of each region in order to adjust the control architecture according to the diversity of the frequency modulation requirements on the basis of ensuring the control effect, thereby effectively saving the system resources. The simulation results show that, compared with the fixed mode of the AGC method, the architecture of AGC control strategy based on the dynamic stratification can reduce the participation of the upper global controller under the premise that the frequency control effect of the power network is basically unchanged, thus reducing the online operation complexity of the interconnected AGC system.
作者 赵熙临 龚楚峰 付波 曹娅 龚偲立 ZHAO Xilin;GONG Chufeng;FU Bo;CAO Ya;GONG Sili(School of Electrical and Electronic Engineering,Hubei University of Technology,Wuhan 430068,Hubei Province,China)
出处 《电网技术》 EI CSCD 北大核心 2022年第1期204-212,共9页 Power System Technology
基金 国家自然科学基金项目(61603127)。
关键词 自动发电控制 动态分层控制策略 模型预测控制 PID控制 automatic generation control(AGC) dynamic stratification control strategy model predictive control(MPC) proportional integral differential(PID)
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