Industrial Internet of Things (IIoT)

5An Industrial Perspective on Restructured Power Systems Using Soft Computing Techniques

Kuntal Bhattacharjee, Akhilesh Arvind Nimje*, Shanker D. Godwal and Sudeep Tanwar

Department of Electrical Engineering, School of Engineering, Nirma University, Ahmedabad, Gujarat, India

Abstract

The application of computational approaches in the past has yielded appreciable results. The increased system complexity causes difficulty in system modeling. Analytical tools were vastly employed, including areas such as biology, medicine, humanities, management, and engineering. Soft computing techniques evolved as a result of inspiration from biological process occurring in nature; hence, performance is based on a probabilistic approach. As a result, global optimum solutions cannot be always expected for all the optimization problems, especially for multimodal objective function. The solution determined by applying soft computing technique can be global optimum or local optimum. The ability of soft computing techniques to reach global optimum solution for maximum number of times out of certain number of trials depends on their ability “to explore search space” and “to exploit good solutions”, during optimization process. Not all soft computing techniques have the same ability “to explore” and “exploit”. Since early 20th century, many soft computing referred as classical soft computing techniques have been developed so far for solving the issues concerned with deregulated power system. The introduction ...