Solar energy is globally promoted as an effective alternative power source to fossil fuels
because of its easy accessibility and environmental benefit. Solar photovoltaic applications …

Metaheuristic optimization algorithms are tools based on mathematical concepts that are
used to solve complicated optimization issues. These algorithms are intended to locate or …

This paper presents the application of a novel algorithm, which is based on a modified Sine-
Cosine technique for solving the optimal power flow (OPF) problem. It is a highly coupled …

The optimal power flow (OPF) is a key tool in the planning and operation of power systems,
and aims to optimize the operational costs involved in the production and transport of energy …

The paper proposes a novel improved social spider optimization algorithm (NISSO) for
solving optimal power flow (OPF) problem to independently optimize electricity generation …

Solving the optimal power flow problems (OPF) is an important step in optimally dispatching
the generation with the considered objective functions. A single-objective function is …

Metaheuristic optimization techniques have successfully been used to solve the Optimal
Power Flow (OPF) problem, addressing the shortcomings of mathematical optimization …

This paper proposes a combined model of Multi-Objective Dynamic Economic and Emission
Dispatch (MODEED) with Demand Side Management (DSM) to investigate the benefits of …

In this paper, an Improved Archimedes Optimization Algorithm (IAOA) is proposed to solve
the Optimal Power Flow problem (OPF). The purpose of improving this IAOA algorithm is to …

Today's electricity grid is rapidly evolving, with increased penetration of renewable energy
sources (RES). Conventional Optimal Power Flow (OPF) has non-linear constraints that …