电力系统自动发电控制问题的分散模型预测控制方案

2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI:10.1109/ICCAIS.2017.8217596

T. Tran

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引用次数: 2

摘要

提出了无终端约束的分散模型预测控制(MPC)在电力系统自动发电控制(AGC)问题中的应用。一个基于耗散的约束被附加到一个控制区域的每个MPC优化中——一个互联系统中的子系统，以确保整个系统的稳定性。利用线性矩阵不等式(LMI)优化序列，导出了基于强制耗散约束的系统调谐程序。数值模拟结果表明，本文提出的分散MPC方案不仅具有闭环稳定性，而且相对于集中式MPC方案具有较好的AGC性能。

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A decentralized model predictive control scheme for the automatic generation control problem in power systems

We present the application of decentralized Model Predictive Control (MPC) without terminal constraints to the Automatic Generation Control (AGC) problem in power systems. A dissipation-based constraint is additionally enforced to each MPC optimization of a control area — a subsystem within an interconnected system, to assure the overall system stability. A systematic tuning procedure for the enforced dissipation-based constraint is derived with a sequence of linear matrix inequality (LMI) optimizations. It is shown in numerical simulations that, not only the closed-loop stability, but the desirable performance of the AGC relatively to that of the centralized MPC is also obtained with the presenting decentralized MPC scheme.

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2017 International Conference on Control, Automation and Information Sciences (ICCAIS)

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