scholarly journals Voltage Control in Active Distribution Grids: A Review and a New Set-Up Procedure for Local Control Laws

2018 ◽  
Author(s):  
S. Mina Mirbagheri ◽  
Davide Falabretti ◽  
Marco Merlo
Keyword(s):  
Local Control ◽  
Voltage Control ◽  
Control Laws ◽  
Set Up ◽  
Distribution Grids

scholarly journals Model-Free Detection of Cyberattacks on Voltage Control in Distribution Grids

2019 ◽  
Author(s):  
Mohammed S. Kemal ◽  
Wissam Aoudi ◽  
Rasus L. Olsen ◽  
Magnus Almgren ◽  
Hans-Peter Schwefel
Keyword(s):  
Voltage Control ◽  
Model Free ◽  
Distribution Grids

scholarly journals Clustering Data-Driven Local Control Schemes in Active Distribution Grids

2020 ◽  
pp. 1-10
Author(s):  
Stavros Karagiannopoulos ◽  
Gustavo Valverde ◽  
Petros Aristidou ◽  
Gabriela Hug
Keyword(s):  
Local Control ◽  
Data Driven ◽  
Control Schemes ◽  
Clustering Data ◽  
Distribution Grids

scholarly journals Two-Timescale Voltage Control in Distribution Grids Using Deep Reinforcement Learning

2020 ◽  
Vol 11 (3) ◽  
pp. 2313-2323 ◽  
Author(s):  
Qiuling Yang ◽  
Gang Wang ◽  
Alireza Sadeghi ◽  
Georgios B. Giannakis ◽  
Jian Sun
Keyword(s):  
Reinforcement Learning ◽  
Voltage Control ◽  
Distribution Grids

scholarly journals Stochastic Optimization of PQ Powers at the Interface between Distribution and Transmission Grids

Energies ◽  
2019 ◽  
Vol 12 (21) ◽  
pp. 4057
Author(s):  
Jérôme Buire ◽  
Frédéric Colas ◽  
Jean-Yves Dieulot ◽  
Xavier Guillaud
Keyword(s):  
Reactive Power ◽  
Daily Basis ◽  
Control Effort ◽  
Control Laws ◽  
Medium Voltage ◽  
Distributed Generators ◽  
Real Size ◽  
Grid Codes ◽  
Distribution Grids ◽  
Hourly Basis

This paper addresses the volt-var control of distribution grids embedding many distributed generators (DGs). Specifically, it focuses on the compliance of powers to specified PQ diagrams at the high voltage/medium voltage (HV/MV) interface while the voltages remain well controlled. This is achieved using a two-stage optimization corresponding to two different classes of actuators. The tap position of capacitor banks is selected on a daily basis, given a stochastic model of the input powers prediction, which allows infrequent actuation and increases the device lifespan. In a second stage, a confidence level optimization problem allows to tune on an hourly basis the parameters of the DGs reactive power affine control laws. Results on a real-size grid show that the combined tuning of these actuators allows the ability to comply with European grid codes while the control effort remains reasonable.

Dynamic Optimization Genetic Algorithms for Flight Control Laws Design

2013 ◽  
Vol 278-280 ◽  
pp. 1581-1584
Author(s):  
Xiao Xiong Liu ◽  
Yan Wu ◽  
Peng Hui Li ◽  
Heng Xu
Keyword(s):  
Genetic Algorithms ◽  
Dynamic Optimization ◽  
Flight Control ◽  
Control Parameters ◽  
Longitudinal Control ◽  
Control Laws ◽  
Longitudinal Function ◽  
Adaptive Capability ◽  
Dynamic Optimization Model ◽  
Set Up

The general flight control laws are designed by static designs and dynamic fits. To improve the adaptive capability, the method of control laws design was introduced by using dynamic optimization genetic algorithms. The control parameters were adjusted online in the flight envelope. The dynamic optimization model was built for aircraft longitudinal function. The fitness was set up by applying order track. And then the control parameters were regulated by dynamic optimization genetic algorithms. Finally an example of a longitudinal control augmented stability system of an aircraft is used with a simulation.

Performance Predictions for a Pneumatic Active Car Suspension System

1988 ◽  
Vol 202 (4) ◽  
pp. 243-250 ◽  
Author(s):  
R S Sharp ◽  
J H Hassan
Keyword(s):  
Active Control ◽  
Suspension System ◽  
Low Frequencies ◽  
Control Laws ◽  
Suspension Parameters ◽  
Car Suspension ◽  
Road Roughness ◽  
Performance Predictions ◽  
Set Up ◽  
Space Requirements

A mathematical model of a pneumatic active car suspension system in a single wheel station form excited by realistic road roughness input is set up. The active control is exerted through a d.c. motor-driven air-pump. The model is used to show that essentially all the advantages of active control, within the terms of reference, are obtained by employing the control only at low frequencies and having the suspension parameters adapt to the running conditions as they vary. Control laws are derived using limited state feedback, linear stochastic optimal control theory and power consumption, and space requirements are evaluated. System performance is shown to be good in comparison with other known arrangements and encouragement for further work to extend the results is given.

Sign in / Sign up

Export Citation Format

Share Document