Special Issue “Computational Intelligence Techniques for Renewable Energy and Smart Grid”

Dear Colleagues,

We invite submissions to a Special Issue of the journal Frontiers in Energy Research
on the Research Topic of “Computational Intelligence Techniques for Renewable Energy and Smart Grid“.

Renewable energy sources have recently been receiving more attention due to cost competitiveness and environmental sustainability. Due to the investment cost of renewable power generation systems, it is important to operate the systems near their maximum output power point, especially for wind and solar PV generation systems. In addition, since wind and solar PV power resources are intermittent, accurate prediction and modeling of wind speed and solar insolation are necessary. Furthermore, to have a more reliable power supply, renewable power generation systems are usually interconnected with the power grid.

Smart Grid is a recently developed set of technologies employing information, communication, and automation to deploy an integrated power grid with smart power generation, transmission, distribution to end users. Smart Grid emphasizes automation, safety, and the close cooperation between the users (demand response) and suppliers to improve the operating effectiveness of power systems, to enhance power quality and to solidify grid reliability. Moreover, Smart Grid integrated with smart meters, EV charging stations and home (building) energy management systems are key to enabling the related concept of a “Smart and Connected City”.

As a result, modeling and controlling the power grid using Smart Grid techniques, such as smart meters, micro-grids, and distribution automation become very important issues. Additionally, effective uses of computational intelligence such as evolutionary optimization, machine learning, neural networks, and fuzzy logic to control and model renewable power generation in a smart-grid would facilitate reliable, efficient, and minimal curtailment.

This Research Topic would like to encourage original contributions regarding recent developments and ideas in Computational Intelligence techniques for Smart Grid systems and renewable power generation and use.

Potential topics include, but are not limited to:

  • Modeling of integrated renewable power generation systems.
  • Control of renewable power generation systems .
  • Prediction of renewable energy generation using machine learning and neuro-fuzzy systems.
  • Hybrid systems of computational intelligence in Smart Grid and renewable power generation – systems.
  • Sustainability metrics of oil and gas integration with renewable energy generation.
  • Optimal energy management systems.
  • Optimization of power quality, protection and reliability analysis of power system.
  • Demand-Response and Smart Buildings.
  • Computational intelligence application for Smart Grid and Smart Cities.

Keywords: Optimization, Neural Networks, Fuzzy Logic, Wind Power, Photovoltaics

Submission Deadlines:
31 March 2018: Abstract
31 July 2018: Manuscript

Guest Editors
Marco Mussetta – Politecnico di Milano, Milan, Italy
Quan Minh Duong – University of Sciences and Technology, The University of Danang, Danang, Vietnam

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Special Session @ Fuzz-IEEE 2018 (WCCI 2018): deadline extended!

FUZZ-IEEE is the top leading conference in the area of theory and applications of fuzzy logic.
The conference will include regular oral and poster presentations, tutorials, panels and world-class keynotes.

Special Session on “Fuzzy Systems in Renewable Energy and Smart Grid”

The recent developments in Smart Grid technology employ information, communication, and automation technology to deploy an integrated power grid with smart power generation, transmission, distribution and users. The Smart Grid paradigm is aligned with the policy goals of expanding the application of renewable energy, energy conservation, and carbon reduction.

Renewable energy sources recently got more attention due to cost competitiveness and environmental sustainability, as compared to fossil fuel and nuclear power generations. Owing to the relatively higher investment cost of renewable power generation systems, it is important to operate the systems near thir maximum power output point, especially for the wind and solar PV generation systems. In addition, since the wind and solar PV power resources are intermittent, accurate predictions and modeling of wind speed and solar insolation are necessary. Plus, to have a more reliable power supply, renewable power generation systems are usually interconnected with the power grid.

Smart Grid emphasizes automation, safety, and the close cooperation between the users and suppliers to improve the operating efficiency of power system, to enhance power quality and to solidify grid reliability. Moreover, Smart Grid integrated with smart meters, EV charging stations and home (building) energy management system are the key enabling factor toward the Smart City concept.

As a result, modeling and controlling the power grid using Smart Grid techniques, such as smart meters, micro-grids, and distribution automations become very important issues. Additionally, effective uses of computational intelligence techniques such as fuzzy systems for the controlling and modeling of renewable power generation in a smart-grid system turn out to be very crucial for successful operations of the systems.

Scope and Topics

The main aim of this session is to provide a forum for researchers covering the whole range of fuzzy systems applications to Smart Grid systems and renewable power generation and use. The session continues the series of special sessions on the topic organized by some of the organizers of this session in past conferences (FUZZ-IEEE 2011, WCCI 2012, FUZZ-IEEE 2013, WCCI 2014, WCCI 2016, FUZZ-IEEE 2017) and is supported by the IEEE CIS Task Force on “Fuzzy Systems in Renewable Energy and Smart Grid”.

The topics include but are not limited to:

  • Fuzzy modeling of renewable power generation systems.
  • Fuzzy control of renewable power generation systems.
  • Prediction of renewable energy using fuzzy and neuro-fuzzy systems.
  • Hybrid systems of computational intelligence techniques in Smart Grid and renewable power generation systems.
  • Neuro-Fuzzy system for oil and gas integration with renewable sources.
  • Fuzzy energy management systems.
  • Fuzzy distribution systems automation.
  • Fuzzy power quality, protection and reliability analysis of power system.
  • Fuzzy Logic application for Demand-Response and Smart Buildings.
  • Fuzzy Logic application for Smart Grid and Smart Cities.
  • Novel applications in electric energy market.

Organizers

  • Marco Mussetta (Politecnico di Milano, Italy)
  • Faa-Jeng Lin (National Central University, Taiwan)
  • Francesco Grimaccia (Politecnico di Milano, Italy)

Important dates

  • 15th January 1st February 2018 – Paper Submission
  • 15th March 2018 – Paper Acceptance
  • 1st May 2018 – Final Paper Submission

Link

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Special Issue “Wind Generators Modelling and Control”: Deadline extension!

The deadline for manuscript submissions is extended to: 31 December 2017

http://www.mdpi.com/journal/energies/special_issues/wind_generator_model_control 

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New Task Force on “Fuzzy Systems in Renewable Energy and Smart Grid”

After the IEEE CIS FSTC meeting of 11th July, 2017 in Naples, the Task Force on “Fuzzy Systems on Renewable Energy” has been renamed as:
Fuzzy Systems in Renewable Energy and Smart Grid”, in order to enlarge its original scope and to include new applications of FS in energy.

The duties of this TF are to explore emerging research areas such as fuzzy control of renewable energy systems and Smart Grid and host related academic activities for CIS.

The new Chair of this TF is Prof. Marco Mussetta (Politecnico di Milano, Italy).
The Vice-Chair is Prof. Faa-Jeng Lin (National Central University, Taiwan) who is also the Past-Chair of the TF on “Fuzzy Systems on Renewable Energy”.

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“Fuzzy Systems on Smart Grid” @ FUZZ-IEEE 2017: schedule

FUZZ-IEEE 2017
Naples, Italy

Special Session “Fuzzy Systems on Smart Grid
organized by: F.J. Lin, F. Grimaccia, M. Mussetta, A. Vaccaro

10 July 2017 – 02:00PM – 04:00PM
Chairs: Faa-Jeng Lin and Marco Mussetta
http://www.fuzzieee2017.org/sessionAN10-2.html

Program:

  1. A Hybrid SARFIMA-FTS Model for Time Series Prediction in Smart Grids
    Cidiney Silva, Frederico Gadelha Guimaraes, Hossein Javedani Sadaei and Vitor Nazario Coelho
  2. An optimized Microgrid Energy Management System based on FIS-MO-GA paradigm
    Stefano Leonori, Maurizio Paschero, Antonello Rizzi and Frattale Mascioli Fabio Massimo
  3. Low-Voltage Ride-Through Operation of Single-Stage PV System Using Recurrent Fuzzy Cerebellar Model Articulation Controller
    Faa-Jeng Lin and Kuang-Chin Lu
  4. Clustering-based Novelty Detection to Uncover Electricity Theft
    Joaquim Viegas and Susana Vieira
  5. A Graph-Based Semi-Supervised Learning Approach Towards Household Energy Disaggregation
    Ding Li and Scott Dick
  6. Design of Fuzzy Logic Controllers for Decentralized Voltage Regulation in Grid Connected Photovoltaic Systems
    Hafsa Qamar, Haleema Qamar and Alfredo Vaccaro
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SPECIAL ISSUE “WIND GENERATORS MODELLING AND CONTROL”

Call for paper:

http://www.mdpi.com/journal/energies/special_issues/wind_generator_model_control

http://fuzzyinsights.com/content/special-issue-wind-generators-modelling-and-control

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ET 2017 @ Politecnico di Milano

ET 2017 website: ET 2017

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FUZZY SYSTEMS ON SMART GRID @ FUZZ-IEEE 2017: SUBMIT YOUR PAPER!

Call for paper:

http://www.fuzzieee2017.org/specialSessions.php#collapse58

http://fuzzyinsights.com/content/fuzzy-systems-smart-grid-fuzz-ieee-2017-submit-your-paper

 

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