Photovoltaic Array Management

A special issue of Inventions (ISSN 2411-5134). This special issue belongs to the section "Inventions and Innovation in Electrical Engineering/Energy/Communications".

Deadline for manuscript submissions: closed (30 October 2020) | Viewed by 3228

Special Issue Editor


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Guest Editor
Department of Electronic Engineering, University of York, Heslington, York YO10 5DD, UK
Interests: renewable generation; power electronics converters & control; electric vehicle; more electric ship/aircraft; smart energy system and non-destructive test technology
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Special Issue Information

Dear Colleagues,

The use of solar energy sources is increasing and will play an important role in future power systems. As the core component of a solar power station, effective management of photovoltaic array affects the safe and stable operation of the entire system. With the advancement of photovoltaic technology, the requirements for the refined design of photovoltaic arrays are becoming higher and higher; for different modules and inverters, optimized module arrangement and wiring can reduce investment costs and increase system power generation.

In this Special Issue, we invite contributions to report the state-of-the-art developments in the fields of photovoltaic array management, including optimal configuration, temperature rise, mismatch, hot spot, multipeak output characteristics, array cleaning, non-uniform aging, fault diagnosis, power quality, applications of AI with regard to photovoltaic array, etc. However, special topics are not limited to the aforementioned ones.

Prof. Dr. Yihua Hu
Guest Editor

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Keywords

  • Maximum power point tracking
  • Global maximum power point tracking
  • Photovoltaic array hot spot detection
  • Conversion control
  • Island detection
  • Photovoltaic reconfiguration
  • Battery storage system
  • Photovoltaic power systems
  • Solar cell arrays
  • The electrical efficiency of the photovoltaic array
  • Flexible and scalable energy management

Published Papers (1 paper)

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Research

23 pages, 4356 KiB  
Article
Short-Term Forecasting Photovoltaic Solar Power for Home Energy Management Systems
by Karol Bot, Antonio Ruano and Maria da Graça Ruano
Inventions 2021, 6(1), 12; https://doi.org/10.3390/inventions6010012 - 25 Jan 2021
Cited by 8 | Viewed by 2755
Abstract
Accurate photovoltaic (PV) power forecasting is crucial to achieving massive PV integration in several areas, which is needed to successfully reduce or eliminate carbon dioxide from energy sources. This paper deals with short-term multi-step PV power forecasts used in model-based predictive control for [...] Read more.
Accurate photovoltaic (PV) power forecasting is crucial to achieving massive PV integration in several areas, which is needed to successfully reduce or eliminate carbon dioxide from energy sources. This paper deals with short-term multi-step PV power forecasts used in model-based predictive control for home energy management systems. By employing radial basis function (RBFs) artificial neural networks (ANN), designed using a multi-objective genetic algorithm (MOGA) with data selected by an approximate convex-hull algorithm, it is shown that excellent forecasting results can be obtained. Two case studies are used: a special house located in the USA, and the other a typical residential house situated in the south of Portugal. In the latter case, one-step-ahead values for unscaled root mean square error (RMSE), mean relative error (MRE), normalized mean average error (NMAE), mean absolute percentage error (MAPE) and R2 of 0.16, 1.27%, 1.22%, 8% and 0.94 were obtained, respectively. These results compare very favorably with existing alternatives found in the literature. Full article
(This article belongs to the Special Issue Photovoltaic Array Management)
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