C27: Soft Computing: Soft Computing tools and techniques for Power system planning, operation and control

Paper Submission for C27

SMC2018:C27 submission site (external site)

Abstracts

Soft computing is a concept that has come into prominence in last decade and its application to the power system is still more recent. Soft computing, as opposed to conventional “hard” computing, is a technique that is tolerant of imprecision, uncertainty, partial truth and approximation. It is a field of computer science that is characterized by the use of inexact solutions to computationally hard tasks such as the solution of NP-Complete problems for which there is no known algorithm that can compute an exact solution. Some of the important branches of soft computing are artificial neural networks, fuzzy logic, genetic computing and probabilistic reasoning which are recognized as attractive alternatives to the standard, well established conventional computing methods. Neural networks and fuzzy logic are universal approximators of any multivariate function because they can be used for modeling nonlinear unknown or partially known complex systems. Evolutionary algorithms like genetic algorithm and others are potential and robust tools for optimization in recent years.
The planning, design and operation of power systems require continuous and comprehensive analysis to evaluate current system performance and to ascertain the effectiveness of alternative plans for system expansion. These studies play an important role in providing a high standard of power system reliability, stability and ensuring the maximum utilization of capital investment. The computational task of determining power flows and voltage levels resulting from a single operating condition for even a small network is all but insurmountable if performed by manual methods. The estimation and forecasting of power system parameters at short, medium and long- term timeframes are difficult to envisage. With the advancement in measurement systems, the security of power system is at high risk which requires the support of an intelligent tool to avoid the occurrence of system failure.
These challenges in power systems can be solved using the advanced and sophisticated techniques of soft computing. This special session is very timely and current and would be a substantial contribution to the present body of knowledge in soft computing and power systems.

The areas of interest for this session include (but are not limited to) the following soft computing applications in power systems:

  • Power System Analysis, Operation and Control
  • Power System Protection
  • Smart Grids and Cybersecurtiy
  • Power System Economics
  • Renewable Energy
  • AC / DC Microgrids
  • Forecasting

Session Chairs