scholarly journals Grid-aware Distributed Model Predictive Control of Heterogeneous Resources in a Distribution Network: Theory and Experimental Validation

2021 ◽  
pp. 1-1 ◽  
Author(s):  
Rahul Kumar Gupta ◽  
Fabrizio Sossan ◽  
Mario Paolone
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Network Theory ◽  
Experimental Validation ◽  
Distribution Network ◽  
Distributed Model ◽  
Distributed Model Predictive Control ◽  
Heterogeneous Resources

scholarly journals Distributed Model-Predictive Control Strategy for Distribution Network Volt/VAR Control: A Smart-Building-Based Approach

2019 ◽  
Vol 55 (6) ◽  
pp. 7041-7051 ◽  
Author(s):  
Surya Chandan Dhulipala ◽  
Raul Vitor Arantes Monteiro ◽  
Raoni Florentino da Silva Teixeira ◽  
Cody Ruben ◽  
Arturo Suman Bretas ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Control Strategy ◽  
Distribution Network ◽  
Distributed Model ◽  
Smart Building ◽  
Distributed Model Predictive Control

scholarly journals A Coalitional Distributed Model Predictive Control Perspective for a Cyber-Physical Multi-Agent Application

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4041
Author(s):  
Anca Maxim ◽  
Constantin-Florin Caruntu
Keyword(s):  
Model Predictive Control ◽  
Communication Networks ◽  
Predictive Control ◽  
Technological Development ◽  
Distributed Model ◽  
Multi Agent Systems ◽  
Test Scenario ◽  
Distributed Model Predictive Control ◽  
Multi Agent ◽  
And Performance

Following the current technological development and informational advancement, more and more physical systems have become interconnected and linked via communication networks. The objective of this work is the development of a Coalitional Distributed Model Predictive Control (C- DMPC) strategy suitable for controlling cyber-physical, multi-agent systems. The motivation behind this endeavour is to design a novel algorithm with a flexible control architecture by combining the advantages of classical DMPC with Coalitional MPC. The simulation results were achieved using a test scenario composed of four dynamically coupled sub-systems, connected through an unidirectional communication topology. The obtained results illustrate that, when the feasibility of the local optimization problem is lost, forming a coalition between neighbouring agents solves this shortcoming and maintains the functionality of the entire system. These findings successfully prove the efficiency and performance of the proposed coalitional DMPC method.

scholarly journals Reference Tracking using a Non-Cooperative Distributed Model Predictive Control Algorithm

2016 ◽  
Vol 49 (7) ◽  
pp. 1079-1084 ◽  
Author(s):  
Anca Maxim ◽  
Clara M. Ionescu ◽  
Constantin F. Caruntu ◽  
Corneliu Lazar ◽  
Robin De Keyser
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Control Algorithm ◽  
Distributed Model ◽  
Reference Tracking ◽  
Distributed Model Predictive Control ◽  
Model Predictive Control Algorithm
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