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首页> 外文期刊>Renewable Power Generation, IET >Networked distributed automatic generation control of power system with dynamic participation of wind turbines through uncertain delayed communication network
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Networked distributed automatic generation control of power system with dynamic participation of wind turbines through uncertain delayed communication network

机译：通过不确定的延迟通信网络实现风力发电机组动态参与的电力系统联网分布式自动发电控制

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摘要

This study proposes a new distributed networked control (DNC) scheme and its stability analysis framework for automatic generation control in networked interconnected power systems with participation of wind turbine. It is assumed that the remote control signals are measured at locations away from the control site and exchanged among a non-ideal communication network with both time-varying delays and random packet dropouts. First, a model is proposed for large-scale DNC system consisting of subsystems, in which the states of each subsystem have their own time-varying delay and there are also delay and packet dropouts in their interconnection links. Then, a linear matrix inequality (LMI)-based method is proposed to design the distributed controller for better system performance. For this, a new Lyapunov-Krasovskii function is developed to conclude some LMI-based delay-independent theorem for designing control law. To evaluate the proposed method, a multi-area power system with participation of wind turbine is considered. Simulation results show the capability of the proposed approach to enhance the performance of networked power system in the presence of load perturbation among a non-ideal communication network with both time-varying delays and random packet dropouts.
机译：这项研究提出了一种新的分布式网络控制（DNC）方案及其稳定性分析框架，用于在风力发电机参与下的网络互连电力系统中进行自动发电控制。假定在远离控制站点的位置处测量远程控制信号，并且在具有时变延迟和随机分组丢失的非理想通信网络之间交换远程控制信号。首先，提出了一个由子系统组成的大规模DNC系统模型，其中每个子系统的状态都有自己的时变延迟，并且在互连链路中也存在延迟和数据包丢失。然后，提出了一种基于线性矩阵不等式（LMI）的方法来设计分布式控制器，以获得更好的系统性能。为此，开发了一个新的Lyapunov-Krasovskii函数，以得出一些基于LMI的时延无关定理，以设计控制律。为了评估所提出的方法，考虑了风力涡轮机参与的多区域电力系统。仿真结果表明，在具有时变时延和随机分组丢失的非理想通信网络之间存在负载扰动的情况下，该方法能够增强网络电力系统的性能。

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