基于辐照度-自适应混合MPPT控制策略的浮式光伏系统感应功率传输变换器

Chio-Kuan Choi, Io-Wa Iam, Iok-U. Hoi, C. Lam
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引用次数: 2

摘要

随着全球变暖和环境污染等问题的日益突出,可再生能源的市场份额迅速增长。光伏板作为一种灵活、成熟的太阳能收集方式,已经广泛地安装在陆地上。为了节约宝贵的土地资源,可以在水上安装光伏板,形成浮动光伏电站。本文提出了一种用于浮式光伏系统无线输电的感应式功率传输(IPT)转换器,可以避免可能发生的电气危险,减少组件的暴露,从而提高浮式光伏系统的抗湿、抗盐性能。然而,湖泊或海滨多变的天气导致的辐照度条件的变化给IPT变换器的MPPT控制策略的可跟踪范围带来了挑战。针对这一问题,提出了一种适用于浮动式光伏系统的辐照度-自适应混合最大功率点跟踪(MPPT)控制策略,使浮动式光伏系统在较宽的辐照度条件下也能达到最大功率点。此外,采用本文提出的MPPT控制策略的IPT变换器不需要DC-DC变换器来实现大辐照度范围内的MPPT,从而节省了系统成本。最后,对辐照度-自适应混合MPPT控制策略的IPT变换器进行了理论分析,并在实验平台上验证了其可行性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Inductive Power Transfer Converter with Irradiance-Adaptive Hybrid MPPT Control Strategy for Floating-PV System
The market share of renewable energy grows rapidly with the rising issues like global warming and environment pollution. As a kind of flexible and mature way to collect solar energy, photovoltaic (PV) panels have been widely installed on lands. To save precious land resources, PV panels can be installed on water to form floating-PV farm. In this paper, an inductive power transfer (IPT) converter for wireless power transmission is proposed for the floating-PV system, which can avoid of possible electrical hazard and reduce the exposure of the components, thus enhance the performance of anti-humidity and anti-salinity of the floating-PV system. However, the varying irradiance conditions caused by changeable weather of lake or seashore scenario gives challenge to the trackable range of MPPT control strategy for the IPT converter. To address this problem, an irradiance-adaptive hybrid maximum power point tracking (MPPT) control strategy for the floating-PV system is also proposed, which can achieve the maximum power point (MPP) of the PV panels even under a wide range of irradiance conditions. In addition, the IPT converter with the proposed MPPT control strategy does not require a DC-DC converter to achieve the MPPT in a wide irradiance range, thus saving the system cost. Finally, the IPT converter with irradiance-adaptive hybrid MPPT control strategy is theoretically analyzed, and its feasibility is verified on an experiment platform.1
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