The demands for renewable energy generation are progressively expanding because of
environmental safety concerns. Renewable energy is power generated from sources that …

As the photovoltaic (PV) market share continues to increase, accurate PV modeling will have
a massive impact on the future energy landscape. Therefore, it is imperative to convert …

The optimal power flow (OPF) is a vital tool for optimizing the control parameters of a power
system by considering the desired objective functions subject to system constraints …

Parameter extraction of photovoltaic (PV) models based on measured current–voltage data
plays an important role in the control, simulation, and optimization of PV systems. Despite …

In this paper, a new hybrid TSA-PSO algorithm is proposed that combines tunicate swarm
algorithm (TSA) with the particle swarm optimization (PSO) technique for efficient maximum …

This paper introduced a newly proposed Meta-heuristic (MH) algorithm for parameter
estimation of solar PV, ie Bonobo Optimizer (BO) algorithm. This algorithm has been …

In order to determine the unknown parameters of the photovoltaic (PV) model, this paper
introduces a novel evolutionary hybrid optimization technique that combines the single …

This paper aims to introduce an adaptive metaheuristic algorithm based on tunicate swarm
optimization (TSA) for effectively solving global optimization problems and the optimum …

In this chapter, an Active Disturbance Rejection Control (ADRC) is developed to trajectory
tracking control of a Tricopter Unmanned Aerial Vehicle (UAV). The extended state observer …

Swarm intelligence is one of the fastest growing subfields of artificial intelligence and soft
computing. This field includes multiple optimization algorithms to solve NP-hard problems …