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.
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.
- Marco Mussetta (Politecnico di Milano, Italy)
- Faa-Jeng Lin (National Central University, Taiwan)
- Francesco Grimaccia (Politecnico di Milano, Italy)
- 15th January 1st February 2018 – Paper Submission
- 15th March 2018 – Paper Acceptance
- 1st May 2018 – Final Paper Submission