A survey of distributed optimization and control algorithms for electric power systems
Historically, centrally computed algorithms have been the primary means of power system
optimization and control. With increasing penetrations of distributed energy resources …
optimization and control. With increasing penetrations of distributed energy resources …
[HTML][HTML] Optimization algorithms as robust feedback controllers
Mathematical optimization is one of the cornerstones of modern engineering research and
practice. Yet, throughout all application domains, mathematical optimization is, for the most …
practice. Yet, throughout all application domains, mathematical optimization is, for the most …
Precision micro-synchrophasors for distribution systems: A summary of applications
This paper describes high-level findings from an innovative network of high-precision
phasor measurement units (PMUs), or micro-PMUs (μPMUs), designed to provide an …
phasor measurement units (PMUs), or micro-PMUs (μPMUs), designed to provide an …
Optimal power flow pursuit
This paper considers distribution networks featuring inverter-interfaced distributed energy
resources, and develops distributed feedback controllers that continuously drive the inverter …
resources, and develops distributed feedback controllers that continuously drive the inverter …
Hierarchically-coordinated voltage/VAR control of distribution networks using PV inverters
Photovoltaic (PV) inverters can provide fast and flexible reactive power support for voltage
regulation and power loss reduction in distribution networks. Conventionally, central and …
regulation and power loss reduction in distribution networks. Conventionally, central and …
Real-time optimal power flow
Future power networks are expected to incorporate a large number of distributed energy
resources, which introduce randomness and fluctuations as well as fast control capabilities …
resources, which introduce randomness and fluctuations as well as fast control capabilities …
Model-free voltage control of active distribution system with PVs using surrogate model-based deep reinforcement learning
Accurate knowledge of the distribution system topology and parameters is required to
achieve good voltage control performance, but this is difficult to obtain in practice. This paper …
achieve good voltage control performance, but this is difficult to obtain in practice. This paper …
Two-stage deep reinforcement learning for inverter-based volt-var control in active distribution networks
Model-based Vol/VAR optimization method is widely used to eliminate voltage violations
and reduce network losses. However, the parameters of active distribution networks (ADNs) …
and reduce network losses. However, the parameters of active distribution networks (ADNs) …
Decentralized charging control of electric vehicles in residential distribution networks
Electric vehicle (EV) charging can negatively impact electric distribution networks by
exceeding equipment thermal ratings and causing voltages to drop below standard ranges …
exceeding equipment thermal ratings and causing voltages to drop below standard ranges …
Toward distributed energy services: Decentralizing optimal power flow with machine learning
R Dobbe, O Sondermeijer… - … on Smart Grid, 2019 - ieeexplore.ieee.org
The implementation of optimal power flow (OPF) methods to perform voltage and power flow
regulation in electric networks is generally believed to require extensive communication. We …
regulation in electric networks is generally believed to require extensive communication. We …