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A Model Predictive Scheduling Algorithm inReal-Time Control Systems 被引量:1

A Model Predictive Scheduling Algorithm in Real-Time Control Systems
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摘要 Abstract-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. 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.
机构地区 School of Automation
出处 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2018年第2期471-478,共8页 自动化学报(英文版)
关键词 Index Terms-Deferrable loads scheduling electric vehicles(EVs) optimal control power supply real-time distributed con-trol. Deferrable loads scheduling electric vehicles(EVs) optimal control power supply real-time distributed control
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  • 1吴运生,钟文,蒋叶青.峰谷分时电价的现状分析与发展趋势探讨[J].电力技术经济,2005,17(2):10-13. 被引量:26
  • 2杨秀媛,肖洋,陈树勇.风电场风速和发电功率预测研究[J].中国电机工程学报,2005,25(11):1-5. 被引量:584
  • 3刘强,薛禹胜,Zhaoyang DONG,Gerard LEDWICH,袁越.基于稳定域及条件概率的暂态稳定不确定性分析[J].电力系统自动化,2007,31(19):1-6. 被引量:11
  • 4CALLAWAY D S, HISKENS I A. Achieving controllability ofloads[J]. Proceedings of the IEEE, 2011,99(1) : 184-199.
  • 5MIRANDA M S, DUNN R W. One-hour-ahead wind speedprediction using a Bayesian methodology [C]// Proceedings ofIEEE Power Engineering Society General Meeting, June 18-22,2006, Montreal, Canada.
  • 6NIKKHAJOEI H, LASSETER R. Distributed generationinterface to the CERTS microgrid [J]. IEEE Trans on PowerDelivery, 2009,24(3): 1598-1608.
  • 7VAZQUEZ S,LUKIC S M, GALVAN E, et al. Energystorage systems for transport and grid applications [J]. IEEETrans on Industrial Electronics, 2010,57(12) : 3881-3895.
  • 8BREKKEN T K A, YOKOCHI A, VON JOUANNE A,et al.Optimal energy storage sizing and control for wind powerapplications [J]. IEEE Trans on Sustainable Energy, 2011,2(1): 69-77.
  • 9MA Yuchao, HOUGHTON T,CRUDEN A, et al. Modelingthe benefits of vehicle-to-grid technology to a power system[J]. IEEE Trans on Power Systems, 2012,27 ( 2 ):1012-1020.
  • 10SIOSHANSI R. Evaluating the impacts of real-time pricing onthe cost and value of wind generation [JIEEE Trans onPower Systems, 2010,25(2) : 741-748.

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