scholarly journals Boltzmann-Based Distributed Control Method: An Evolutionary Approach using Neighboring Population Constraints

2021 ◽  
Vol 6 (4) ◽  
pp. 196-211
Author(s):  
Gustavo Alonso Chica Pedraza ◽  
Eduardo Alirio Mojica Nava ◽  
Ernesto Cadena Muñoz
Keyword(s):  
Distributed Control ◽  
Control Method ◽  
Evolutionary Approach ◽  
Neighboring Population

MAS-based distributed control method for multi-microgrids with high-penetration renewable energy

Energy ◽  
2019 ◽  
Vol 171 ◽  
pp. 284-295 ◽  
Author(s):  
Qiang Li ◽  
Mengkai Gao ◽  
Houfei Lin ◽  
Ziyu Chen ◽  
Minyou Chen
Keyword(s):  
Renewable Energy ◽  
Distributed Control ◽  
Control Method ◽  
High Penetration

scholarly journals Distributed Control Strategy for Smart Home Appliances Considering the Discrete Response Characteristics of the On/Off Loads

2019 ◽  
Vol 9 (3) ◽  
pp. 457 ◽  
Author(s):  
De-Yin Kong ◽  
Yu-Qing Bao ◽  
Ying-Yi Hong ◽  
Bei-Bei Wang ◽  
Hong-Bin Huang ◽  
...  
Keyword(s):  
Distributed Control ◽  
Control Strategy ◽  
Smart Home ◽  
Control Method ◽  
Consensus Algorithm ◽  
Centralized Control ◽  
Response Characteristics ◽  
Fitting Method ◽  
Discrete Response ◽  
Smart Home Appliances

With the development of smart home technology, more and more electrical appliances can participate in demand response, providing support for active power balance of the power grid. However, the conventional centralized control method faces vast amounts of electrical appliances, resulting in problems such as communication congestion and dimension curse. This paper proposes a distributed control strategy for electrical appliances based on a multi-agent consensus algorithm. Considering the discrete response characteristics of the on/off loads, a priority ranking mechanism is established, and the customer cost function is established by a fitting method. Based on the incremental cost consensus (ICC) algorithm, the optimal power allocation of customers is realized through distributed control. Simulation and analysis of the examples verify the effectiveness of the proposed strategy.

scholarly journals Practical Formation Control for Multiple Anonymous Robots System with Unknown Nonlinear Disturbances

2021 ◽  
Vol 11 (19) ◽  
pp. 9170
Author(s):  
Peng Xu ◽  
Jin Tao ◽  
Minyi Xu ◽  
Guangming Xie
Keyword(s):  
Theoretical Analysis ◽  
Mobile Robots ◽  
Distributed Control ◽  
Formation Control ◽  
Control Method ◽  
Control Law ◽  
Control Problems ◽  
Moving Target ◽  
Whole Process ◽  
Nonlinear Disturbances

This paper mainly investigates formation control problems for a group of anonymous mobile robots with unknown nonlinear disturbances on a plane, in which all robots can asymptotically converge to any formation patterns without collision, and maintain any required relative distance with neighboring robots. To solve this problem, all robots are modeled as kinematic points and can only acquire information from other robots and their targets. Furthermore, a flexible distributed control law is designed to solve the formation problem while no collisions between any robots can be guaranteed during the whole process. The outstanding feature of the proposed control method is that it can force all mobile robots to form not only uniform circle formations but also non-uniform and non-circular formations with moving target centers. At last, both theoretical analysis and numerical simulations show the feasibility of the proposed control law.

Deployment Behavior of Modularized Structures

2000 ◽  
Author(s):  
Kosei Ishimura ◽  
M. C. Natori
Keyword(s):  
Wave Propagation ◽  
Heat Conduction ◽  
Distributed Control ◽  
Computer Simulations ◽  
Control Method ◽  
Control Rules ◽  
Inertia Forces

Abstract Deployment behavior of modularized structures is numerically analyzed from the viewpoint of synchronism. Elastic panels with single and double accordion folding patterns are examined as examples of modularized structures. Through computer simulations, it is shown that asynchronous deployments are caused by inertia forces. To improve the synchronism of the deployment, autonomous distributed control method is proposed. Control rules are driven based on equations of heat conduction and wave propagation. It is confirmed that simple autonomous distributed control can improve the synchronism of the deployment.

scholarly journals Low-Voltage Ride-Through Operation of Grid-Connected Microgrid Using Consensus-Based Distributed Control

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 2867 ◽  
Author(s):  
Woon-Gyu Lee ◽  
Thai-Thanh Nguyen ◽  
Hyeong-Jun Yoo ◽  
Hak-Man Kim
Keyword(s):  
Distributed Control ◽  
Reactive Power ◽  
Control Method ◽  
Low Voltage ◽  
Power Sharing ◽  
Consensus Algorithm ◽  
Stable Operation ◽  
Low Voltage Ride Through ◽  
Primary Layer ◽  
Secondary Layer

Since the penetration of distributed energy resources (DERs) and energy storage systems (ESSs) into the microgrid (MG) system has increased significantly, the sudden disconnection of DERs and ESSs might affect the stability and reliability of the whole MG system. The low-voltage ride-through (LVRT) capability to maintain stable operation of the MG system should be considered. The main contribution of this study is to propose a distributed control, based on a dynamic consensus algorithm for LVRT operation of the MG system. The proposed control method is based on a hierarchical control that consists of primary and secondary layers. The primary layer is in charge of power regulation, while the secondary layer is responsible for the LVRT operation of the MG system. The droop controller is used in the primary layer to maintain power sharing among parallel-distributed generators in the MG system. The dynamic consensus algorithm is used in the secondary layer to control the accurate reactive power sharing and voltage restoration for LVRT operation. A comparison study on the proposed control method and centralized control method is presented in this study to show the effectiveness of the proposed controller. Different scenarios of communication failures are carried out to show the reliability of the proposed control method. The tested MG system and proposed controller are modeled in a MATLAB/Simulink environment to show the feasibility of the proposed control method.

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