Special Issue "Photovoltaic Generation"

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A special issue of Applied Sciences (ISSN 2076-3417).

Deadline for manuscript submissions: closed (31 January 2014)

Special Issue Editor

Guest Editor
Prof. Dr. Tomonobu Senjyu (Website)

Department of Electrical and Electronics Engineering, Faculty of Engineering, University of the Ryukyus, 1 Senbaru Nihihara-cho, Okinawa 903-0213, Japan
Phone: +81-98-895-8686
Fax: +81 895 8686
Interests: renewable energy; power system analysis; power system optimization; distribution system control and optimization; power system control; power electronics in power systems

Special Issue Information

Dear Colleagues,

Photovoltaic generation is one of the most promising renewable energy utilization methods in the world. It makes photovoltaic power generation become highly potential, with recent developments in technologies such as photovoltaic panels, energy conversion system, power electronics, energy storage system, and control system. As most of these technologies are developed in each respective research community, researchers devoted to photovoltaic generation seek state of the art of these wide research areas. This special issue aims to cover the advances in all the above photovoltaic generation-related technologies and related research fields, such as power system, power electronics, system control, physical science and chemistry.

Prof. Dr. Tomonobu Senjyu
Guest Editor

 

Submission

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed Open Access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 300 CHF (Swiss Francs). English correction and/or formatting fees of 250 CHF (Swiss Francs) will be charged in certain cases for those articles accepted for publication that require extensive additional formatting and/or English corrections.

Keywords

  • photovoltaic cell
  • concentrator PV
  • quantum dot solar cell
  • intermediate band solar cell
  • smart grid
    • grid connection
    • inverters
  • low voltage fault ride through (FRT) capability
  • unit commitment
    • optimal operation
    • coordinated control
    • distributed generators
  • grid frequency control
    • distributed line voltage control
  • transmission line voltage control
  • load shedding control
  • optimal power flow
    • HEMS/BEMS (Home (Building) energy management System)
    • demand response

Published Papers (1 paper)

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Research

Open AccessArticle Optimizing Re-planning Operation for Smart House Applying Solar Radiation Forecasting
Appl. Sci. 2014, 4(3), 366-379; doi:10.3390/app4030366
Received: 31 January 2014 / Revised: 3 June 2014 / Accepted: 4 August 2014 / Published: 22 August 2014
PDF Full-text (457 KB) | HTML Full-text | XML Full-text
Abstract
This paper proposes the re-planning operation method using Tabu Search for direct current (DC) smart house with photovoltaic (PV), solar collector (SC), battery and heat pump system. The proposed method is based on solar radiation forecasting using reported weather data, Fuzzy theory [...] Read more.
This paper proposes the re-planning operation method using Tabu Search for direct current (DC) smart house with photovoltaic (PV), solar collector (SC), battery and heat pump system. The proposed method is based on solar radiation forecasting using reported weather data, Fuzzy theory and Recurrent Neural Network. Additionally, the re-planning operation method is proposed with consideration of solar radiation forecast error, battery and inverter losses. In this paper, it is assumed that the installation location for DC smart house is Okinawa, which is located in Southwest Japan. The validity of proposed method is confirmed by comparing the simulation results. Full article
(This article belongs to the Special Issue Photovoltaic Generation)

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