Deep reinforcement learning based volt-var optimization in smart distribution systems

Y Zhang, X Wang, J Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This paper develops a model-free volt-VAR optimization (VVO) algorithm via multi-agent
deep reinforcement learning (DRL) in unbalanced distribution systems. This method is novel …

Power quality concerns in implementing smart distribution-grid applications

MHJ Bollen, R Das, S Djokic, P Ciufo… - … on Smart Grid, 2016 - ieeexplore.ieee.org
This paper maps the expected and possible adverse consequences for power quality of
introducing several smart distribution-grid technologies and applications. The material …

Optimal placement of battery energy storage in distribution networks considering conservation voltage reduction and stochastic load composition

Y Zhang, S Ren, ZY Dong, Y Xu… - IET Generation …, 2017 - Wiley Online Library
Deployment of battery energy storage (BES) in active distribution networks (ADNs) can
provide many benefits in terms of energy management and voltage regulation. In this study …

[HTML][HTML] Deep reinforcement learning-based two-timescale Volt-VAR control with degradation-aware smart inverters in power distribution systems

F Kabir, N Yu, Y Gao, W Wang - Applied Energy, 2023 - Elsevier
Higher penetration of intermittent solar photovoltaic (PV) systems in the distribution grid
results in frequent voltage fluctuations. The conventional voltage regulating devices …

Combined impact of network reconfiguration and volt-VAR control devices on energy savings in the presence of distributed generation

VB Pamshetti, S Singh, SP Singh - IEEE Systems Journal, 2019 - ieeexplore.ieee.org
Reduction of energy consumption and energy losses is a major concern of the distribution
network operator in the present scenario. Traditionally, on-load tap changers, a shunt …

Real-time co-simulation platform for smart grid volt-VAR optimization using IEC 61850

M Manbachi, A Sadu, H Farhangi… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
This paper presents an implementation of an IEC 61850-based real-time co-simulation
platform for verification of the performance of a volt-VAR optimization (VVO) engine for smart …

Volt/var optimization: A survey of classical and heuristic optimization methods

H Mataifa, S Krishnamurthy, C Kriger - IEEE Access, 2022 - ieeexplore.ieee.org
Reactive power optimization and voltage control is one of the most critical components of
power system operation, impacting both the economy and security of system operation. It is …

OPF-based CVR operation in PV-rich MV–LV distribution networks

L Gutierrez-Lagos, LF Ochoa - IEEE Transactions on Power …, 2019 - ieeexplore.ieee.org
Conservation voltage reduction (CVR) has been traditionally applied adopting moderate
settings at primary substations and when distributed generation was uncommon. However …

Volt-VAr control and energy storage device operation to improve the electric vehicle charging coordination in unbalanced distribution networks

C Sabillon-Antunez… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
In this paper, a new approach is presented to solve the electric vehicle charging
coordination (EVCC) problem considering Volt-VAr control, energy storage device (ESD) …

Multistage multiobjective volt/var control for smart grid-enabled CVR with solar PV penetration

S Singh, VB Pamshetti, AK Thakur… - IEEE Systems …, 2020 - ieeexplore.ieee.org
This article investigates the need of coordinated operation of multiple voltage regulation
devices under different time scales to enhance energy efficiency via conservation voltage …