Model Predictive Control of Aggregated Heterogeneous Second-Order Thermostatically Controlled Loads for Ancillary Services

被引：113

作者：

Liu, Mingxi ^{[1
]}

Shi, Yang ^{[1
]}

机构：

[1] Univ Victoria, Dept Mech Engn, Victoria, BC V8W 3P6, Canada

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 2016年 / 31卷 / 03期

基金：

加拿大自然科学与工程研究理事会;

关键词：

Ancillary service; model predictive control (MPC); population model; second-order thermostatically controlled loads (TLCs); 2-D state bin;

D O I：

10.1109/TPWRS.2015.2457428

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In order to provide the ancillary service for smart grid, this paper proposes a modelling and control protocol design approach for the aggregation of heterogeneous thermostatically controlled loads (TCLs). A 2-D state bin is proposed to model the second-order TCL dynamics in a population model. Detailed procedure of calculating the transition probability in the system matrix is provided. In the controller design, a model predictive control (MPC) scheme is proposed to obtain the optimal control actions along the prediction horizon. In addition, implementation of the control signal for adjusting TCLs' statuses are also investigated with practical situations considered. Simulation results reveal the feasibility and efficacy of the proposed modelling and control approach when applied on a large population of TCLs. Some factors that may affect the service performance are also discussed in this paper.

引用

页码：1963 / 1971

页数：9

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