To shift the computational burden from real-time to offline in delay-critical power systems
applications, recent works entertain the idea of using a deep neural network (DNN) to …

In this paper, the solution of the optimal power flow dispatching (OPFD) problem by a primal-
dual interior point method is considered. Several primal-dual methods for optimal power flow …

The expected increase in the penetration of renewables in the approaching decade urges
the electricity market to introduce new products-in particular, flexible ramping products-to …

The output of renewable generation depends on the real-time weather conditions and
changes rapidly; so the economic operating point of the power system varies over time. This …

The stochastic optimal power flow (OPF) problem is formulated to solve the optimal dispatch
problem with consideration of uncertainties in electric power systems. In this paper we …

This paper presents a primal-dual path-following interior-point method for the solution of the
optimal power flow dispatching (OPFD) problem. The underlying idea of most path-following …

Combined heat and power (CHP) plant generates electrical power as well as heat energy in
a single process yielding more than 80% overall efficiency and reduces emission level …

Nonconvexity induced by the nonlinear AC power flow equations challenges solution
algorithms for AC optimal power flow (OPF) problems. While significant research efforts have …

Fast inverter control is a desideratum towards the smoother integration of renewables.
Adjusting inverter injection setpoints for distributed energy resources can be an effective grid …

This paper presents a systematic analysis of the main reasons for the failure of solution
algorithms in the general power system nonlinear optimal power flow (OPF) problem. It …