A Model Predictive Scheduling Algorithm in Real-Time Control Systems

被引：10

作者：

Kang, Mengya ^{[1
]}

Wen, Chenglin ^{[1
]}

Wu, Chenxi ^{[1
]}

机构：

[1] Hangzhou Dianzi Univ, Sch Automat, Hangzhou 310018, Peoples R China

来源：

IEEE-CAA JOURNAL OF AUTOMATICA SINICA | 2018年 / 5卷 / 02期

关键词：

Deferrable loads scheduling; electric vehicles (EVs); optimal control; power supply; real-time distributed control; ELECTRIC VEHICLES; DEMAND RESPONSE;

D O I：

10.1109/JAS.2017.7510826

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The ineffective utilization of power resources has attracted much attention in current years. This paper proposes a real-time distributed load scheduling algorithm considering constraints of power supply. Firstly, an objective function is designed based on the constraint, and a base load forecasting model is established when aggregating renewable generation and non-deferrable load into a power system, which aims to transform the problem of deferrable loads scheduling into a distributed optimal control problem. Then, to optimize the objective function, a real-time scheduling algorithm is presented to solve the proposed control problem. At every time step, the purpose is to minimize the variance of differences between power supply and aggregate load, which can thus ensure the effective utilization of power resources. Finally, simulation examples are provided to illustrate the effectiveness of the proposed algorithm.

引用

页码：471 / 478

页数：8

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