Application and progress of artificial intelligence technology in the field of distribution network voltage Control: A review
The increasing integration of distributed energy resources has led to heightened complexity
in distribution network models, posing challenges of uncertainty and volatility to the …
in distribution network models, posing challenges of uncertainty and volatility to the …
Multi-agent deep reinforcement learning for voltage control with coordinated active and reactive power optimization
The increasing penetration of distributed renewable energy resources causes voltage
fluctuations in distribution networks. The controllable active and reactive power resources …
fluctuations in distribution networks. The controllable active and reactive power resources …
Challenges in smartizing operational management of functionally-smart inverters for distributed energy resources: A review on machine learning aspects
Y Fujimoto, A Kaneko, Y Iino, H Ishii, Y Hayashi - Energies, 2023 - mdpi.com
The widespread introduction of functionally-smart inverters will be an indispensable factor
for the large-scale penetration of distributed energy resources (DERs) via the power system …
for the large-scale penetration of distributed energy resources (DERs) via the power system …
[HTML][HTML] Deep reinforcement learning-based two-timescale Volt-VAR control with degradation-aware smart inverters in power distribution systems
Higher penetration of intermittent solar photovoltaic (PV) systems in the distribution grid
results in frequent voltage fluctuations. The conventional voltage regulating devices …
results in frequent voltage fluctuations. The conventional voltage regulating devices …
[HTML][HTML] Intelligent Integration of Renewable Energy Resources Review: Generation and Grid Level Opportunities and Challenges
This paper reviews renewable energy integration with the electrical power grid through the
use of advanced solutions at the device and system level, using smart operation with better …
use of advanced solutions at the device and system level, using smart operation with better …
Data-Driven Volt/VAR Optimization for Modern Distribution Networks: A Review
The Volt/Var optimization (VVO) enables advanced control strategy development for voltage
regulation. With the recent advancement of data-driven approaches and communication …
regulation. With the recent advancement of data-driven approaches and communication …
Off-policy Q-learning-based tracking control for stochastic linear discrete-time systems
X Liu, L Zhang, Y Peng - 2022 4th International Conference on …, 2022 - ieeexplore.ieee.org
In this paper, an adaptive optimal control is investigated for a stochastic linear discrete-time
system with multiplicative state-dependent noise and control-dependent noise without …
system with multiplicative state-dependent noise and control-dependent noise without …
Gaussian Process Regression-Based Smart Inverters' Volt-VAR Control
This paper proposes a two-path constrained multi-objective framework to determine the
optimal volt-VAr droop for grid-connected smart inverters (SI). The first approach formulates …
optimal volt-VAr droop for grid-connected smart inverters (SI). The first approach formulates …
[图书][B] Data-Driven Integration of Renewable Energy in Smart Grid
F Kabir - 2022 - search.proquest.com
Renewable energy is an environment-friendly and economically attractive source of
electricity generation. However, substantial grid integration of renewable energy is …
electricity generation. However, substantial grid integration of renewable energy is …