Special Issue “Artificial Intelligence and Mathematical Models Applied in Optimal Dispatch of Smart Grids”

A special issue of Energies (ISSN 1996-1073).

Deadline for manuscript submissions: 20 July 2020.

In this Special Issue, we invite original and unpublished research work in areas including (but not limited to):

  • Optimal techno-economic dispatch of smart grids and virtual power plants
  • Mathematical models for integration of distributed energy resources and demand in electricity markets
  • Aggregated flexible electricity consumption and generation
  • Real implementation of virtual power plants
  • Optimization methods for managing uncertainties from renewable energy sources in smart grid dispatch
  • Big data and machine learning in smart grid operation
  • Multi-agent systems for smart grid dispatch
  • Energy management systems for coordinating power flow between generators, loads and storage
  • Provision of ancillary services by smart grids

Prof. Dr. Jose M. Yusta
Prof. Dr. José Antonio Domínguez-Navarro
Guest Editors

Final report – Project REDCRIT

We have developed the research project REDCRIT between 2017 and 2019 to assess the vulnerability of gas and electricity transmission infrastructures in Spain.

FINAL PROJECT REPORT – DOWNLOAD HERE

PROJECT TITLE: Scale-free networks for analysis of vulnerability and resilience of interdependent infrastructures

(http://redcrit.unizar.es)

Granted by: Dirección General de Investigación Científica y Técnica, Ministerio de Economía, Industria y Competitividad. Proyecto ENE2016-77172-R

COURSE: Energy contracting for companies and optimization of gas and electricity bills (2nd ed.)

ONLINE COURSE: “EXPERT IN ENERGY CONTRACTING FOR COMPANIES AND OPTIMIZATION OF GAS AND ELECTRICITY BILLS”. Start date: 30th January 2019  https://bit.ly/2EfgbFp

Teacher: JOSE MARIA YUSTA LOYO, Industrial Engineer, PhD, Professor at University of Zaragoza, Spain

Duration: 30 hours

Price for members: 200 €
Price for other professionals: 225 €

IEEE Smart Grid October 2018 – Robustness Assessment of Interdependent Gas and Electric Power Transmission Systems Against Cyber Threats

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Newsletter October 2018

Robustness Assessment of Interdependent Gas and Electric Power Transmission Systems Against Cyber Threats

By Jose M. Yusta and Jesus Beyza

In 2018 hackers gained access to the control centers of US electric utilities, allowing them to control the status of switches and affect the power flow. IEEE PES Task Force on Understanding, Prediction, Mitigation and Restoration of Cascading Failures has addressed graph theory as an emerging technology on the vulnerability assessment of cascading failures. In this exact sense, we develop a robustness assessment of highly interdependent gas and electric power transmission systems applying a cascading failure methodology based on graph theory in complex networks. A real 400-kV electricity transmission network and an 80-bar natural gas transmission network have been jointly evaluated by means of a graph composed of 2031 nodes and 2154 links. The deliberate disintegration of the tightly coupled networks would only require eliminating approximately 1% of the nodes, confirming the weakness of the energy infrastructures against new cyber threats.

(SEE FULL TEXT)

Conference IEEE Andescon 2018, Cali (Colombia)

It has been a great experience attending the conference IEEE Andescon 2018, Cali (Colombia) from 22 to 24th August 2018, as invited speaker in the two following activities:

Tutorial course: “Techniques for Evaluating Reliability, Robustness and Resilience in Power Systems” http://ieee-andescon.org/tutorials.html

Keynote speaker: “Vulnerability of energy infrastructures: new challenges, new solutions”  http://ieee-andescon.org/keynotes.html

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