IEEE CEC 2017 - Special Session on Natural Computation Applied to Power System

Aim and Scope:

The electrical power demand is growing exponentially. At the same time the quality and reliability requirements of modern power systems are becoming more and stringent. This special session will focus on the applications of natural computation intelligence for planning, operation, control, and optimization of modern electric power systems, in order to provide better secure, stable and reliable system. The natural computation techniques include neural computation, evolutionary computation, swarm intelligence, artificial immune systems, ant colony search, fuzzy logic, pattern recognition, data mining, firefly algorithm, cuckoo search algorithm, teaching-learning-based optimization (TLBO) algorithm, grey wolf optimization algorithm and artificial bee colony, etc.

The objective of this special session is to bring together researchers from the academia and industries in the fields of power system engineering and natural computational intelligence.


    The special session invites contributions in the areas including, but not limited to, the following:

    1. Power system operation
    2. Power system control
    3. Power system planning
    4. Power system analysis
    5. Power system stability
    6. Power system reliability
    7. Power system protection
    8. Security assessment
    9. Power quality enhancement
    10. Load frequency control
    11. Power sector reforms and restructuring
    12. Microgrid

Paper Submission:

Special session papers are treated the same as regular conference papers. All papers accepted and presented at CEC 2017 will be included in the conference proceedings published by IEEE Explore. Papers should be submitted through the paper submission system available at IEEE CEC 2017 Submission website. Please follow the instructions given in the website.


Professor and Head,
Department of Electrical Engineering,
Annamalai University,
Annamalai Nagar,
Tamil Nadu, India

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