发电端同步冷凝器与风电场协同的模型预测励磁控制

IF 1.9 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Lingfeng Zheng, Yongzhi Zhou, Hongda Cai, Xiaoming Liu, Donglei Sun
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引用次数: 0

摘要

随着可再生能源的快速发展,输电系统的电压问题日益突出,需要相应的无功辅助装置和控制策略。本文提出了一种新型的模型预测励磁控制器,用于同步冷凝器与风电场的无通信协调,以提供无功功率并减轻电压波动。该控制器采用基于发送端系统扩展线性化状态空间模型的模型预测控制(MPC)算法预测系统的未来行为并确定最优控制输入。设计了一个扩展状态观测器(ESO)来估计非通信协调wf的无功输出,并考虑不可测量的干扰,将估计的状态提供给模型预测励磁控制器。与传统的励磁控制器相比,通过MATLAB/Simulink中的时域仿真验证了该控制器抑制电压波动和提供足够无功支持的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Model Predictive Excitation Controller for Synchronous Condenser Coordinated With Wind Farms in Sending-End System

Model Predictive Excitation Controller for Synchronous Condenser Coordinated With Wind Farms in Sending-End System

The rapid development of renewable energy sources has led to critical voltage problems in sending-end systems, necessitating reactive power auxiliary devices and corresponding control strategies. This paper proposes a novel model predictive excitation controller for synchronous condenser, coordinated with the wind farms (WFs) without communication, to provide reactive power and mitigate voltage fluctuations. The proposed controller predicts the future behavior of the system and determines the optimal control input using model predictive control (MPC) algorithm with extended and linearized state space model of sending-end system. An extended state observer (ESO) is designed to estimate the reactive power output of the WFs for noncommunication coordination and to account for unmeasurable disturbances, providing the estimated states to the model predictive excitation controller. The effectiveness of suppressing voltage fluctuations and providing sufficient reactive power support is verified through time-domain simulations in MATLAB/Simulink, compared with the traditional excitation controller.

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来源期刊
International Transactions on Electrical Energy Systems
International Transactions on Electrical Energy Systems ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
6.70
自引率
8.70%
发文量
342
期刊介绍: International Transactions on Electrical Energy Systems publishes original research results on key advances in the generation, transmission, and distribution of electrical energy systems. Of particular interest are submissions concerning the modeling, analysis, optimization and control of advanced electric power systems. Manuscripts on topics of economics, finance, policies, insulation materials, low-voltage power electronics, plasmas, and magnetics will generally not be considered for review.
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