Motivation and Scope

To shape a low carbon energy future has been a crucial and urgent task under Paris Global Agreement. Numerous optimisation problems have been formulated and solved to effectively save the fossil fuel cost and relief energy waste from power system and energy application side. However, some key problems are of strong non-convex, non-smooth or mixed integer characteristics, leading to significant challenging issues for system operators and energy users. Evolutionary computation is immune from complex problem modelling formulation, and is therefore promising to provide powerful optimisation tools for intelligently and efficiently solving problems such as smart grid and various energy systems scheduling to reduce carbon consumptions.

This special session intends to bring together the state-of-the-art advances of evolutionary optimisation approaches for solving emerging problems in complex modern power and energy system. The submissions are encouraged to be focus on smart grid scheduling with integration of new participants such as renewable generations, plug-in electric vehicles, distribution generations and energy storages, multiple time-spacial energy reductions and other energy optimisation topics.

A brief list of potential submission topic is shown below:

• Unit commitment, economic dispatch and optimal power flow
• Optimal smart grid scheduling and integration with renewable energy generations
• Energy management, intelligent coordination and control of electric vehicles/ships
• Life cycle analysis and optimization of building energy systems
• Charging and discharging strategies for energy storage battery systems
• Internal and whole scale management for single and hybrid energy storage systems
• Energy reduction strategies for food and chemical process industry
• Energy reduction strategies for energy intensive manufacturing processes
• Parameters identification for photovoltaic models and PEM fuel cells
• Thermodynamic optimisation for heat exchanger design and Organic Rankine Cycle

Special session papers will be treated the same as the regular papers, included in the conference proceedings and indexed by IEEE Xplore and EI index.

Submission instructions

Manuscripts should be prepared according to the standard format and page limit of regular papers specified in CEC 2018 and submitted through the CEC 2019 website (http://www.cec2019.org/papers.html#submission) and select the main research topic as ss: Evolutionary Computation for Smart Grid and Sustainable Energy Systems.

Important Dates

Paper Submission: January 07, 2019
Notification of Acceptance: March 07, 2019
Camera-Ready Submission: March 31, 2019

Relevant links

Call for paper (http://www.cec2019.org/assets/downloads/CEC2019_CFP.pdf)

Organized by
  • Dr. Zhile Yang
    Shenzhen Institute of Advanced Technology,
    Chinese Academy of Sciences,
    Shenzhen, 518055, China
    zl.yang@siat.ac.cn
  • Dr. Kunjie Yu
    School of Electrical Engineering,
    Zhengzhou University,
    Zhengzhou, 450001, China
    yukunjie@zzu.edu.cn
  • Prof. Zhou Wu
    School of Automation,
    Chongqing University,
    Chongqing, 400044, China
    zhouwu@cqu.edu.cn

中国科学院深圳先进技术研究院 粤ICP备09184136号-3

地址:深圳市南山区西丽深圳大学城学苑大道1068号

邮编:518055 联系电子邮箱:cx.zeng@siat.ac.cn