FUZZ-IEEE 2019 Paper submission deadline Extended!
New Paper Submission Deadline: 25 January 2019
Special Session on “Fuzzy System for Control and Diagnosis of Renewable Energy and Smart Grid”
http://sites.ieee.org/fuzzieee-2019/special-sessions/#fsfcadoreasg
2019 IEEE Conference on Fuzzy Systems (FUZZ-IEEE)
New Orleans, Louisiana, USA
June 23-26
http://sites.ieee.org/fuzzieee-2019/
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.
The main aim of this session is to provide a forum for researchers, from both the academia and industry, covering the state-of-the-art methods and results in the area of fuzzy systems applications to analysis, control and diagnosis of renewable power generation system and Smart Grid (SG).
Renewable Energy System are characterized by the ability to transform fluctuating renewable energy sources (RES) into storable, transformable and scalable energy forms. SG technology employ information, communication, and automation technology to deploy an integrated power grid with smart power generation, transmission, distribution and RES integration.
Due to the climate goals, the research activities in the area of method development for the control of RES have increased enormously in recent years. Advanced Fuzzy Control techniques enable a model-based flexible controller design with mixed objectives. In addition, since the main RES are fluctuating (such as wind and solar energy, wave energy and tidal energy), accurate predictions and modeling of wind speed and solar insolation are necessary. Moreover, grid integration and the SG concept include smart meters, EV charging stations and energy management system as key enabling factor toward the Smart City concept.
As a result, effective application of computational intelligence techniques such as Fuzzy Systems can provide improved results and more methodical development in the analysis, control and diagnosis of renewable power generation in a grid-connected system. Extension to consider hybrid systems and distributed systems is possible within this framework.
The session continues the series of special sessions on these topics organized in past conferences (FUZZ-IEEE 2011, WCCI 2012, FUZZ-IEEE 2013, WCCI 2014, WCCI 2016, FUZZ-IEEE 2017, WCCI 2018) and is supported by the IEEE CIS Task Forces on “Fuzzy Systems in Renewable Energy and Smart Grid” and “Fuzzy Control Theory and Application”.
The topics include but are not limited to:
http://sites.ieee.org/fuzzieee-2019/special-sessions/#fsfcadoreasg
Program available here:
https://sites.google.com/site/fsrenesmartgrid/news/specialsessionw33fuzzysystemsonrenewableenergyandsmartgrid
Conference: Fuzz-IEEE 2018 (WCCI 2018)
Date: Wednesday, July 11, 4:30PM-6:30PM,
Room: Galapagos III,
Chair: Marco Mussetta and Francesco Grimaccia
4:30PM Modeling and Performance Evaluation of a Fuzzy Logic Controller for Buck-Boost DC/DC Converters
Minh Quan Duong, Kim Hung Le, Grimaccia Francesco, Leva Sonia and Mussetta Marco
University of Da Nang, Viet Nam; Politecnico di Milano, Italy
4:50PM A Robust Predictive Control Strategy for Building HVAC Systems Based on Interval Fuzzy Models
Oscar Cartagena, Diego Munoz-Carpintero and Doris Saez
University of Chile, Chile
5:10PM Uncertainty management for classification and benchmarking of energy-use preference profiles
Camilo Franco, Kurt Nielsen and Pieter Kerstens
Andes University, Colombia; Copenhagen University, Denmark
5:30PM Comparison of Three Techniques for Maximum Power Point Tracking of Solar PV
Arnold Sagonda and Komla Agbenyo Folly
University of Cape Town, South Africa
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:
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
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.
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.
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:
The deadline for manuscript submissions is extended to: 31 December 2017
http://www.mdpi.com/journal/energies/special_issues/wind_generator_model_controlÂ
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”.
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:
