This paper proposes the implementation of metaheuristic algorithm namely, teaching–
learning-based optimization (TLBO) algorithm to solve optimal power flow (OPF) problem …

This paper proposes one of the optimization methods based on atmospheric motion. It is a
global optimization nature-inspired method such as Wind Driven Optimization (WDO) …

The purpose of this paper is to develop a new tool to the dispatching and optimization of
reactive power resources using two kinds of the flexible alternating current transmission …

This paper describes a new approach to the optimal reactive dispatch problem, based on an
augmented Lagrangian function of the original problem. The Karush–Kuhn–Tucker (KKT) …

In this paper, a fully fledged optimal power flow (OPF) algorithm with flexible AC
transmission systems (FACTS) devices has been developed and presented aiming at the …

This paper presents a study of the Lagrange multipliers in congested transmission systems.
The Lagrange multiplier indicates the sensitivity of constraints related with the objective …

This paper makes contributions in the Newton's optimal power flow in two ways, in the
handling of inequalities and the discrete variables. The problem of identification of binding …

In this paper, a new approach to solve optimal power flow (OPF) problem in power system is
presented, known as intelligent search evolution algorithm (ISEA). In the proposed …

This paper presents a solution to the Optimal Power Flow (OPF) problem combined
economic dispatch with valve-point effect and Emission Index (EI) in electrical power …

This research paper proposes a hybrid cuckoo search algorithm (HCSA) for OPF problem
solution in power systems. In this, genetic algorithm (GA) is combined with conventional …