Traditionally, offline optimization of power systems is acceptable due to the largely
predictable loads and reliable generation. The increasing penetration of fluctuating …

This paper develops and analyzes feedback-based online optimization methods to regulate
the output of a linear time invariant (LTI) dynamical system to the optimal solution of a time …

Feedback-based online optimization algorithms have gained traction in recent years
because of their simple implementation, their ability to reject disturbances in real time, and …

Growing environmental awareness and new government directives have set the stage for an
increase in the fraction of energy supplied using renewable resources. The fast variation in …

The focus of this paper is the online load flow optimization of power systems in closed loop.
In contrast to the conventional approach where an AC OPF solution is computed before …

In this paper we propose an approach based on an Online Feedback Optimization (OFO)
controller with grid input–output sensitivity estimation for real-time grid operation, eg, at …

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Optimization is an essential part of power grid operation and lately, Online Optimization
methods have gained traction. One such method is Online Feedback Optimization (OFO) …

This paper summarizes the two testbeds, datasets, and results of the IEEE PES Working
Group on Modern Heuristic Optimization (WGMHO) 2017 Competition on Smart Grid …

This paper proposes a Lyapunov optimization-based online distributed (LOOD) algorithmic
framework for active distribution networks (ADNs) with numerous photovoltaic inverters and …