[HTML][HTML] Optimization with constraint learning: A framework and survey
Many real-life optimization problems frequently contain one or more constraints or objectives
for which there are no explicit formulae. If however data on feasible and/or infeasible states …
for which there are no explicit formulae. If however data on feasible and/or infeasible states …
Novel exertion of intelligent static compensator based smart inverters for ancillary services in a distribution utility network-review
S Srinivasarangan Rangarajan, J Sharma… - Electronics, 2020 - mdpi.com
Integration of distributed energy resources (DER) has always posed a challenge. Smart
inverters have started playing a crucial role in efficient integration of DERs. With the basic …
inverters have started playing a crucial role in efficient integration of DERs. With the basic …
Data-driven local control design for active distribution grids using off-line optimal power flow and machine learning techniques
S Karagiannopoulos, P Aristidou… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The optimal control of distribution networks often requires monitoring and communication
infrastructure, either centralized or distributed. However, most of the current distribution …
infrastructure, either centralized or distributed. However, most of the current distribution …
A survey on applications of machine learning for optimal power flow
F Hasan, A Kargarian… - 2020 IEEE Texas Power …, 2020 - ieeexplore.ieee.org
Optimal power flow (OPF) is at the heart of many power system operation tools and market
clearing processes. Several mathematical and heuristic approaches have been presented in …
clearing processes. Several mathematical and heuristic approaches have been presented in …
Designing reactive power control rules for smart inverters using support vector machines
Smart inverters have been advocated as a fast-responding mechanism for voltage
regulation in distribution grids. Nevertheless, optimal inverter coordination can be …
regulation in distribution grids. Nevertheless, optimal inverter coordination can be …
[HTML][HTML] Reactive power control in photovoltaic systems through (explainable) artificial intelligence
Across the world, efforts to support the energy transition and halt climate change have
resulted in significant growth of the number of renewable distributed generators (DGs) …
resulted in significant growth of the number of renewable distributed generators (DGs) …
Hybrid learning aided inactive constraints filtering algorithm to enhance AC OPF solution time
F Hasan, A Kargarian… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The optimal power flow (OPF) problem contains many constraints. However, equality
constraints and a limited set of inequality constraints encompass sufficient information to …
constraints and a limited set of inequality constraints encompass sufficient information to …
[HTML][HTML] Decentralized control in active distribution grids via supervised and reinforcement learning
While moving towards a low-carbon, sustainable electricity system, distribution networks are
expected to host a large share of distributed generators, such as photovoltaic units and wind …
expected to host a large share of distributed generators, such as photovoltaic units and wind …
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 …
An overview of grid-edge control with the digital transformation
Distribution networks are evolving to become more responsive with increasing integration of
distributed energy resources (DERs) and digital transformation at the grid edges. This …
distributed energy resources (DERs) and digital transformation at the grid edges. This …