GWO and WOA variable step MPPT algorithms-based PV system output power optimization
University Mohamed Boudiaf of M'sila · University of Sciences and Technology Houari Boumediene · +6 more institutions
Abstract
The nonlinear characteristics and low efficiency of photovoltaic (PV) systems remain critical challenges that necessitate advanced solutions. This study proposes two innovative Maximum Power Point Tracking (MPPT) algorithms based on the Whale Optimization Algorithm (WOA) and Grey Wolf Optimization (GWO). The primary advantage of these methods lies in their adaptive step-size optimization, leveraging multiple criteria to determine the optimal step size. A novel fitness function was developed to improve tracking accuracy, minimize ripple, and reduce overshoot. Simulation results demonstrated remarkable improvements, including up to 98% reduction in ripple, 67% reduction in overshoot, and significant improvements…
Citation impact
- FWCI
- 12.76
- Percentile
- 100%
- References
- 36
Authors
7Topics & keywords
- Overshoot (microwave communication)
- Ripple
- Reduction (mathematics)
- Photovoltaic system
- Maximum power point tracking
- Computer science
- Control theory (sociology)
- Power (physics)
- Affordable and clean energy