Special Issue "Algorithm and Control of Multi-Source Power System: Integration of Renewable Energy Sources and Storage Systems"

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "Electrical Power and Energy System".

Deadline for manuscript submissions: closed (22 September 2020).

Special Issue Editors

Prof. Dr. Miadreza Shafie-khah
Website
Guest Editor
School of Technology and Innovations, University of Vaasa, 65200 Vaasa, Finland
Interests: smart grid; demand response; electric vehicle; power system; electricity market
Prof. Dr. Alireza Heidari
Website
Guest Editor
School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, Australia
Interests: energy storage systems management; electricity market analysis; renewable energy systems integration; power systems optimization; smart power grids; battery storage systems

Special Issue Information

Dear Colleagues,

We are inviting submissions to a Special Issue of Energies on the subject of algorithms and control of multisource power system integration of renewable energy sources and storage systems. The power system is experiencing renovation due to technology developments as well as needs for social, industrial, and economic advances. This Special Issue aims at encouraging researchers to address new algorithms, framework, protection and control of multisource power systems, including renewable and storage systems enabling recent features of smart grid technologies to improve reliability, flexibility, efficiency, and resiliency. Topics of interest for publication include but are not limited to:

  • Multisource power system;
  • Reliability, sustainability, flexibility, and resiliency;
  • Algorithms for operation, control, and protection of power systems;
  • Integration of the renewable energy resources and management of the uncertainties;
  • Batteries and energy storage system management;
  • Distribution management systems, microgrids, and SCADA ;
  • Monitoring and forecasting methods for power systems;
  • Electricity market and power system optimization.
Prof. Dr. Miadreza Shafie-khah
Prof. Dr. Alireza Heidari
Guest Editors

Manuscript Submission Information

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. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short 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 thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly 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 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • operation
  • control
  • protection
  • integration
  • multisource
  • energy storage
  • renewable energy

Published Papers (1 paper)

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Research

Open AccessArticle
A Coordinated Dispatching Model Considering Generation and Operation Reserve in Wind Power-Photovoltaic-Pumped Storage System
Energies 2020, 13(18), 4834; https://doi.org/10.3390/en13184834 - 16 Sep 2020
Abstract
Large-scale grid integration of renewable energy increases the uncertainty and volatility of power systems, which brings difficulties to output planning and reserve decision-making of power system units. In this paper, we innovatively combined the non-parametric kernel density estimation method and scenario method to [...] Read more.
Large-scale grid integration of renewable energy increases the uncertainty and volatility of power systems, which brings difficulties to output planning and reserve decision-making of power system units. In this paper, we innovatively combined the non-parametric kernel density estimation method and scenario method to describe the uncertainty of renewable energy outputs, and obtained a representative set of renewable energy output scenarios. In addition, we proposed a new method to determine the reserve capacity demand. Further, we derived the quantitative relationship between the reserve demand and the power system reliability index, which was used as the constraint condition of a day-ahead power generation dispatch. Finally, a coordinated dispatching model of power generation and reserve was established, which had the lowest penalty for curtailment of wind power and photovoltaic, as well as the lowest total operating cost for thermal power units, gas power units, and pumped storage power station. By simulating three different working conditions, the proposed model was compared with the traditional deterministic model. Results showed that our proposed method significantly improved system efficiency while maintaining system reliability. Full article
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