Historically, centrally computed algorithms have been the primary means of power system
optimization and control. With increasing penetrations of distributed energy resources …

This paper reviews distributed/decentralized algorithms to solve the optimal power flow
(OPF) problem in electric power systems. Six decomposition coordination algorithms are …

Collaborative operation of electricity transmission and distribution systems improves the
economy and reliability of the entire power system. However, this is a challenging problem …

This paper reviews signal processing research for applications in the future electric power
grid, commonly referred to as smart grid. Generally, it is expected that the grid of the future …

In this paper, we introduce a distributed approach to optimal control of wind farms (WFs). Our
control approach enables wind generators (WGs) to dynamically dispatch and regulate their …

In this paper, we investigate two decomposition methods for their convergence rate which
are used to solve security constrained economic dispatch (SCED): 1) Lagrangian Relaxation …

Power system operation models are becoming increasingly more complex, as their
capabilities improve. One particular area that has received significant attention over the last …

The recent trend towards accommodating more distributed resources in power systems
motivates a transition from the current highly centralized control structure to a more …

The growing integration of distributed energy resources drives the centralized power system
towards a decentralized multi-agent network. Operating multi-agent networks significantly …

This paper presents a new approach for identifying the measurement error in the DC power
flow state estimation problem. The proposed algorithm exploits the singularity of the …