Artificial intelligence based MPPT techniques for solar power system: A review
In the last decade, artificial intelligence (AI) techniques have been extensively used for
maximum power point tracking (MPPT) in the solar power system. This is because …
maximum power point tracking (MPPT) in the solar power system. This is because …
Deep reinforcement learning for power system applications: An overview
Due to increasing complexity, uncertainty and data dimensions in power systems,
conventional methods often meet bottlenecks when attempting to solve decision and control …
conventional methods often meet bottlenecks when attempting to solve decision and control …
Energy-efficient offloading for DNN-based smart IoT systems in cloud-edge environments
Deep Neural Networks (DNNs) have become an essential and important supporting
technology for smart Internet-of-Things (IoT) systems. Due to the high computational costs of …
technology for smart Internet-of-Things (IoT) systems. Due to the high computational costs of …
Optimizing step-size of perturb & observe and incremental conductance MPPT techniques using PSO for grid-tied PV system
A maximum power point tracking (MPPT) technique plays an important role to ensure
maximum photovoltaic (PV) output power is extracted under stochastic weather conditions …
maximum photovoltaic (PV) output power is extracted under stochastic weather conditions …
[HTML][HTML] Classification and summarization of solar photovoltaic MPPT techniques: A review based on traditional and intelligent control strategies
M Mao, L Cui, Q Zhang, K Guo, L Zhou, H Huang - Energy Reports, 2020 - Elsevier
The output power–voltage (P–V) curve of a solar photovoltaic (PV) power system shows a
single peak under an even irradiation environment, nevertheless, but often exhibits seriously …
single peak under an even irradiation environment, nevertheless, but often exhibits seriously …
Novel bio-inspired memetic salp swarm algorithm and application to MPPT for PV systems considering partial shading condition
B Yang, L Zhong, X Zhang, H Shu, T Yu, H Li… - Journal of cleaner …, 2019 - Elsevier
This paper proposes a novel bio-inspired optimization method named memetic salp swarm
algorithm (MSSA). It is developed by extending the original salp swarm algorithm (SSA) with …
algorithm (MSSA). It is developed by extending the original salp swarm algorithm (SSA) with …
Solar photovoltaic Maximum Power Point Tracking controller optimization using Grey Wolf Optimizer: A performance comparison between bio-inspired and traditional …
Solar photovoltaic systems are widely used; however, their performance is bound to weather
conditions, depending on irradiation, temperature, and the effect of shadows. Maximum …
conditions, depending on irradiation, temperature, and the effect of shadows. Maximum …
CCGPA‐MPPT: Cauchy preferential crossover‐based global pollination algorithm for MPPT in photovoltaic system
In general, the photovoltaic (PV) is considered as the best selection among renewable
energy resources due to its nonpolluted operation and good flexibility condition. The PV …
energy resources due to its nonpolluted operation and good flexibility condition. The PV …
A comprehensive review and classified comparison of MPPT algorithms in PV systems
One of the most available energy sources in the world is solar energy, while in the category
of renewable and nonrenewable energies is in the first group. Power generation of a …
of renewable and nonrenewable energies is in the first group. Power generation of a …
A novel metaheuristic MPPT technique based on enhanced autonomous group Particle Swarm Optimization Algorithm to track the GMPP under partial shading …
In order to maximize the benefit of solar panels, it is crucial to enhance the operating
efficiency of PV systems. Usually, the PV arrays are exposed to harsh outdoor operating …
efficiency of PV systems. Usually, the PV arrays are exposed to harsh outdoor operating …