With the increasing penetration of renewable energy, power grid operators are observing
both fast and large fluctuations in power and voltage profiles on a daily basis. Fast and …

Modern power systems are experiencing larger fluctuations and more uncertainties caused
by increased penetration of renewable energy sources (RESs) and power electronics …

Due to the increasing uncertainties of renewable energy and stochastic demands, quick-
optimal control actions are necessary to retain the system stability and economic operation …

High-level penetration of intermittent renewable energy sources has introduced significant
uncertainties and variabilities into modern power systems. In order to rapidly and …

To cope with increasing uncertainty from renewable generation and flexible load, grid
operators need to solve alternative current optimal power flow (AC-OPF) problems more …

The general concept of AC Optimal Power Flow (ACOPF) refers to the economic dispatch
planning under electric network constraints. Moreover, each instance with the entire network …

The quality of starting point greatly influences the result and convergence efficiency of the
optimization algorithm, especially for the non-convex and constrained Alternating Current …

Abstract The Optimal Power Flow (OPF) problem is a fundamental building block for the
optimization of electrical power systems. It is nonlinear and nonconvex and computes the …

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 …

Due to the high nonlinearity of AC optimal power flow (OPF), numerous efforts have been
made in recent decades to find efficient methods. Machine learning (ML) has proven to …