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”.
Scope and Topics
The topics include but are not limited to:
- Fuzzy modeling and control of renewable energy sources (RES)
- Fuzzy energy management systems and distribution systems automation
- Fuzzy power quality, protection and reliability analysis of power system
- Fuzzy observer-based fault diagnosis and FTC of RES
- Fuzzy based health monitoring of large-scale mechanical structures of RES
- Fuzzy modeling and control of distributed virtual power plants
- Takagi-Sugeno fuzzy modeling of RES
- Stability Analysis of RES connected to the grid based on TS fuzzy systems
- TS Sliding mode control and observer design for RES
- Type-2 fuzzy control for RES
- Prediction of renewable energy using fuzzy and neuro-fuzzy systems
- Fuzzy Logic application for Demand-Response in Smart Buildings, Smart Grid and Smart Cities
- Hybrid systems of computational intelligence techniques in Micro-Grids and Smart Grids
- Novel applications in electric energy market
- Marco Mussetta (Politecnico di Milano, Italy)
- Horst Schulte (University of Applied Sciences Berlin, Germany)
- Faa-Jeng Lin (National Central University, Taiwan)
- Kevin Guelton (Université de Reims Champagne-Ardenne, France)
- Francesco Grimaccia (Politecnico di Milano, Italy)
11 January 201925 January 2019 – Full Paper Submission
- 04 March 2019 – Notification of Paper Acceptance
- 01 April 2019 – Camera-ready Paper Submission