Model predictive control with dynamic pricing and probability inventory of a single supply chain unit

2012 ◽  
Vol 8 (4) ◽  
pp. 547-554 ◽  
Author(s):  
Jian Niu ◽  
Jun Zhao ◽  
Zuhua Xu ◽  
Zhijiang Shao ◽  
Jixin Qian
Keyword(s):  
Supply Chain ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Dynamic Pricing ◽  
Chain Unit

Model predictive control with an on-line identification model of a supply chain unit

2010 ◽  
Vol 11 (5) ◽  
pp. 394-400 ◽  
Author(s):  
Jian Niu ◽  
Zu-hua Xu ◽  
Jun Zhao ◽  
Zhi-jiang Shao ◽  
Ji-xin Qian
Keyword(s):  
Supply Chain ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Chain Unit ◽  
Line Identification ◽  
On Line ◽  
Identification Model

scholarly journals Modular Model Composition for Rapid Implementations of Embedded Economic Model Predictive Control in Microgrids

2021 ◽  
Vol 11 (22) ◽  
pp. 10602
Author(s):  
Tobias Kull ◽  
Bernd Zeilmann ◽  
Gerhard Fischerauer
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Economic Model ◽  
Dynamic Pricing ◽  
Embedded Devices ◽  
Economic Model Predictive Control ◽  
Modular Model ◽  
Easy Integration ◽  
Modelling Effort ◽  
Exemplary Model

Economic model predictive control in microgrids combined with dynamic pricing of grid electricity is a promising technique to make the power system more flexible. However, to date, each individual microgrid requires major efforts for the mathematical modelling, the implementation on embedded devices, and the qualification of the control. In this work, a field-suitable generalised linear microgrid model is presented. This scalable model is instantiated on field-typical hardware and in a modular way, so that a class of various microgrids can be easily controlled. This significantly reduces the modelling effort during commissioning, decreases the necessary qualification of commissioning staff, and allows for the easy integration of additional microgrid devices during operation. An exemplary model, derived from an existing production facility microgrid, is instantiated, and the characteristics of the results are analysed.

scholarly journals A Centralized Model Predictive Control Strategy for Dynamic Supply Chain Management

2013 ◽  
Vol 46 (9) ◽  
pp. 1608-1613 ◽  
Author(s):  
Dongfei Fu ◽  
Clara Mihaela Ionescu ◽  
El-Houssaine Aghezzaf ◽  
Robin De Keyser
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Control Strategy ◽  
Chain Management ◽  
Centralized Model

Model Predictive Control of Micro-CSP Integrated Into a Building HVAC System for Load Following Demand Response Programs

2019 ◽  
Author(s):  
Mohamed Toub ◽  
Mahdi Shahbakhti ◽  
Rush D. Robinett ◽  
Ghassane Aniba
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Demand Response ◽  
Dynamic Pricing ◽  
Power Flow ◽  
Voltage Regulation ◽  
Ancillary Services ◽  
Hvac System ◽  
Time Model ◽  
Load Following

Abstract Building heat, ventilation and air conditioning (HVAC) systems are good candidates for demand response (DR) programs as they can flexibly alter their consumption to provide ancillary services to the grid and contribute to frequency and voltage regulation. One of the major ancillary services is the load following demand response (DR) program where the demand side tries to track a DR load profile required by the grid. This paper presents a real-time Model Predictive Control (MPC) framework for optimal operations of a micro-scale concentrated solar power (MicroCSP) system integrated into an office building HVAC system providing ancillary services to the grid. To decrease the energy cost of the building, the designed MPC exploits, along with the flexibility of the building’s HVAC system, the dispatching capabilities of the MicroCSP with thermal energy storage (TES) in order to control the power flow in the building and respond to the DR incentives sent by the grid. The results show the effect of incentives in the building participation to the load following DR program in the presence of a MicroCSP system and to what extent this participation is affected by seasonal weather variations and dynamic pricing.

Decentralized and centralized model predictive control to reduce the bullwhip effect in supply chain management

2014 ◽  
Vol 73 ◽  
pp. 21-31 ◽  
Author(s):  
Dongfei Fu ◽  
Clara M. Ionescu ◽  
El-Houssaine Aghezzaf ◽  
Robin De Keyser
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Bullwhip Effect ◽  
Chain Management ◽  
Centralized Model
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