A Flexible Rooftop Photovoltaic-Inductive Wireless Power Transfer System for Low-Voltage DC Grid

Iam, Io-Wa; Ding, Zhengnian; Huang, Zhicong; Lam, Chi-Seng; Martins, Rui P.; Mak, Pui-In

doi:10.1109/access.2023.3279107

Cited by 1 publication

(2 citation statements)

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“…Rooftop photovoltaic systems are essential for apartments-integrated centralized generation, especially in high mountains or islands. Their advantages can be considered in some critical points as follows [1]: First, utilizing available space can generate electricity near where needed, reducing transmission and distribution losses associated with traditional centralized power generation. Secondly, they contribute to sustainable energy development by reducing reliance on conventional fossil fuel-based electricity, significantly reducing greenhouse gas emissions and environmental impact.…”

Section: Introductionmentioning

confidence: 99%

“…This combination increases the convergence speed of the solution to 0.016 s, and the efficiency is about 99.83%. A hybrid solution in [1] applies a hybrid MPPT control algorithm between PSO and P&O to ensure the system's effectiveness even under various irradiance conditions. However, it only achieves simulation and experimental efficiency of about 92% and 90%, respectively.…”

Section: Introductionmentioning

confidence: 99%

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Rapidly Determine the Maximum Power Point in the Parallel Configuration of the Photovoltaic System

Hien,

Anh,

Linh

et al. 2023

Sensors

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The maximum power point tracking (MPPT) solutions improve power generation efficiency, quickly stabilizing the output waveform of photovoltaic (PV) systems under variable operating conditions. Along with new algorithms, improved and adjusted methods to exploit energy from PV systems are increasingly being researched and proposed. However, the proposed solutions based on the traditional algorithms and their improvements have poor performance, while the advanced algorithms or hybrid methods bring high performance but need to be simplified, and the response speed is higher. Moreover, a suitable PV configuration makes choosing a simple but highly efficient algorithm, especially in low-power PV system applications such as rooftop solar power, traffic lights, and moving vehicles…where the number of PV panels is insufficient to implement flexible configurations. This paper proposes a modified version of the Perturb and Observe (MPO) algorithm to improve MPPT performance and increase convergence speed in the parallel structure of PV panels. The Short-Circuit Current (Isc) and Open-Circuit Voltage (Voc) are calculated directly at specific operating conditions to quickly determine the potential maximum power point (MPP) that will reduce power interruptions and increase power generation efficiency compared to periodic updates. Therefore, the proposed solution converges faster, with higher efficiency, and the output signal in static and dynamic MPPT situations is more stable. The results show that the highest efficiency in simulation and experiment is 99.99% and 99.93%, respectively, while the convergence speed is 0.01 s and 0.03 s, respectively. They are better than the traditional Perturb and Observe (P&O) algorithm, the Variable Step Size Perturb and Observe (VSSP&O) method, and the Particle Swarm Optimization (PSO) technique under the same operating conditions. In addition, its performance and convergence speed are also compared with the latest introduced algorithms. The results show that it is valuable and reliable for parallel PV configuration.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%