This study introduces a novel meta-heuristic optimization algorithm known as quasi-
oppositional modified Jaya (QOMJaya) to solve different multi-objective optimal power flow …

Phasor measurement units (PMUs) significantly benefit the operation and control of power
systems. They offer precise phasor measurements with a high refresh rate. These …

Optimal power flow (OPF) minimizes the production cost, while satisfying the constraints on
the system, such as real and reactive power balance, equipment capability constraints, and …

In this study, a multiobjective optimization is applied to Optimal Power Flow Problem (OPF).
To effectively achieve this goal, a Multiobjective Ant Lion algorithm (MOALO) is proposed to …

Intelligent algorithms are becoming more prevalent in the domain of optimization and
optimal power flow (OPF). They possess inherent advantages such as the ability to avoid …

Phaser measurement units (PMUs) significantly benefit the operation and control of power
systems. They offer precise phaser measurements with a high refresh rate. These …

Many techniques are created in order to solve the optimal power flow issues as it is the most
effective tool to get minimum cost or minimum losses under certain constraints. In this work …

This article introduces a new meta-heuristic algorithm, namely quasi-oppositional Jaya
(QOJaya) algorithm for solving the optimal power flow (OPF) problem. In this approach, an …

Wind power has become a candidate to replace some or part of the conventional generation
to meet the continually increasing electricity demand. Yet, the stochastic nature of the wind …

Phasor measurement units (PMUs) offer significant advantages over conventional
measurements; they offer precise phasor measurements at a high refresh rate (50 …