A New Improved Variable Step Size MPPT Method for Photovoltaic Systems Using Grey Wolf and Whale Optimization Technique Based PID Controller

Abstract

In this work, we have developed two new intelligent maximum power point tracking (MPPT) techniques for photovoltaic (PV) solar systems. To optimize the PWM duty cycle driving the DC/DC boost converter, we have used two optimization algorithms namely the whale optimization algorithm (WOA) and grey wolf optimization (GWO) so we can tune the PID controller gains. The oscillation around the MPP and the fail accuracy under fast variable isolation are among the well-known drawbacks of conventional MPPT algorithms. To overcome these two drawbacks, we have formulated a new objective fitness function that includes WOA/GWO based accuracy, ripple, and overshoot. To provide the most relevant variable step size, this objective fitness function was optimized using the two aforementioned optimization algorithms (i.e., WOA and GWO). We have carried out several tests on Solarex MSX-150 panel and DC/DC boost converter based PV systems. In the simulation results section, we can clearly see that the two proposed algorithms perform better than the conventional ones in term of power overshoot, ripple and the response time.

A Review on MPPT Algorithms for Solar Pv Systems

“…Two new MPPT algorithms for solar PV systems are suggested namely WOA and GWO. The newly developed algorithms provide a better performance than other conventional methods in terms of ripple, overshoot and response time Abderrahim et al (2021), .…”

A new improved of incorporating photovoltaic energy into the production of green hydrogen

“…However, real-world solar cells exhibit imperfections, prompting the model to incorporate additional components. In the illustrated Figure 2, two resistances are introduced-one in series and another in parallel-to account for these imperfections [6].…”

“…In essence, the solar cell behaves similarly to a diode under illumination, exhibiting comparable electrical characteristics. Consequently, the electrical behaviour of a solar cell featuring a PN junction can be mathematically described using the following equations [6] :…”

A new intelligently optimized model reference adaptive controller using GA and WOA-based MPPT techniques for photovoltaic systems

“…In order to simulate the whales' coordinated movements, it is postulated that there is an even chance of 50% to opt for either the shortening encircling mechanism or the spiral model while the optimization procedure, to alter the whales' positions simultaneously 20,56,93 . The mathematical representation of this model is given by: In the equation given, the variable p represents a random number within the range of [0 1].…”

“…Among the classical MPPT techniques, we mention Perturb and observe P&O [19][20][21] , Incremental Conductance (INC) [22][23][24] , and Hill Climbing (HC) [25][26][27] . However, each technique has specific strengths and weaknesses; for example, P&O and HC are simple and require fewer sensors than other techniques 28,29 .…”