scholarly journals Fully Decentralized Reinforcement Learning-based Control of Photovoltaics in Distribution Grids for Joint Provision of Real and Reactive Power

Author(s):  
Rayan El Helou ◽  
Dileep Kalathil ◽  
Le Xie
2021 ◽  
Author(s):  
Rakib Hossain ◽  
Mohammad Mansour Lakouraj ◽  
Amir Ghasemkhani ◽  
Hanif Livani ◽  
Mohammed Ben-Idris

Energies ◽  
2019 ◽  
Vol 12 (20) ◽  
pp. 3865 ◽  
Author(s):  
Daniel-Leon Schultis ◽  
Albana Ilo

The large-scale integration of rooftop PVs stalls due to the voltage limit violations they provoke, the uncontrolled reactive power flow in the superordinate grids and the information and communications technology (ICT) related challenges that arise in solving the voltage limit violation problem. This paper attempts to solve these issues using the LINK-based holistic architecture, which takes into account the behaviour of the entire power system, including customer plants. It focuses on the analysis of the behaviour of distribution grids with the highest PV share, leading to the determination of the structure of the Volt/var control chain. The voltage limit violations in low voltage grid and the ICT challenge are solved by using concentrated reactive devices at the end of low voltage feeders. Q-Autarkic customer plants relieve grids from the load-related reactive power. The optimal arrangement of the compensation devices is determined by a series of simulations. They are conducted in a common model of medium and low voltage grids. Results show that the best performance is achieved by placing compensation devices at the secondary side of the supplying transformer. The Volt/var control chain consists of two Volt/var secondary controls; one at medium voltage level (which also controls the TSO-DSO reactive power exchange), the other at the customer plant level.


2020 ◽  
Vol 11 (3) ◽  
pp. 2313-2323 ◽  
Author(s):  
Qiuling Yang ◽  
Gang Wang ◽  
Alireza Sadeghi ◽  
Georgios B. Giannakis ◽  
Jian Sun

Energies ◽  
2019 ◽  
Vol 12 (21) ◽  
pp. 4057
Author(s):  
Jérôme Buire ◽  
Frédéric Colas ◽  
Jean-Yves Dieulot ◽  
Xavier Guillaud

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.


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