Computational Intelligence in Photovoltaic Systems

Ogliari, Emanuele

ISBN 10: 303921098X / ISBN 13: 9783039210985

Published by MDPI AG 2019-09, 2019

About this Item

Seller Inventory # 6666-IUK-9783039210985

Bibliographic Details

• Title: Computational Intelligence in Photovoltaic Systems
• Publisher: MDPI AG 2019-09
• Publication Date: 2019
• Language: English
• ISBN 10: 303921098X
• ISBN 13: 9783039210985
• Binding: PF
• Condition: New

About this title

Synopsis

Photovoltaics, among the different renewable energy sources (RES), has become more popular. In recent years, however, many research topics have arisen as a result of the problems that are constantly faced in smart-grid and microgrid operations, such as forecasting of the output of power plant production, storage sizing, modeling, and control optimization of photovoltaic systems.

Computational intelligence algorithms (evolutionary optimization, neural networks, fuzzy logic, etc.) have become more and more popular as alternative approaches to conventional techniques for solving problems such as modeling, identification, optimization, availability prediction, forecasting, sizing, and control of stand-alone, grid-connected, and hybrid photovoltaic systems. This Special Issue will investigate the most recent developments and research on solar power systems.

This Special Issue “Computational Intelligence in Photovoltaic Systems” is highly recommended for readers with an interest in the various aspects of solar power systems, and includes 10 original research papers covering relevant progress in the following (non-exhaustive) fields:

• Forecasting techniques (deterministic, stochastic, etc.);
• DC/AC converter control and maximum power point tracking techniques;
• Sizing and optimization of photovoltaic system components;
• Photovoltaics modeling and parameter estimation;
• Maintenance and reliability modeling;
• Decision processes for grid operators.