Integrating Gradient Search, Logistic Regression and Artificial Neural Network for Profit Based Unit Commitment

Abstract

As the electrical industry restructures many of the traditional algorithms for controlling generating units, they need either modification or replacement. In the past, utilities had to produce power to satisfy their customers with the objective to minimize costs and actual demand/reserve were met. But it is not necessary in a restructured system. The main objective of restructured system is to maximize its own profit without the responsibility of satisfying the forecasted demand. The Profit Based Unit Commitment (PBUC) is a highly dimensional mixed-integer optimization problem, which might be very difficult to solve. Hence integrating Optimization Technique Gradient Search (GS), Logistic Regression (LR) and Artificial Neural Network (ANN) approach is introduced in this paper considering power and reserve generating in order to receive the maximum profit in three and ten unit system by considering the softer demand. Also this method gives an idea regarding how much power and reserve should be sold in markets. The proposed approach has been tested on a power system with 3 and 10 generating units. Simulation results of the proposed approach have been compared with the existing methods. It is observed that the proposed algorithm provides maximum profit compared to existing methods.

Keywords:

• Artificial neural network
• Competitive environment
• Deregulation
• Gradient search
• Logistic Regression
• Profit Based Unit Commitment
• Restructured system

Additional information

Notes on contributors

A. Amudha

A.Amudha was born in 1969.She received B.E Electrical and Electronics Degree from Bharathiar University, Coimbatore, India in 1990 and M.E Degree in Power System from Madurai Kamaraj University, Madurai, India in 1992. She is currently pursuing Ph.D. degree in Power Systems at Anna University, Trichy, India. Currently, she is an Associate professor in the Department of Electrical and Electronics at Sri Krishna College of Engineering and Technology, Coimbatore, India. Ms. A .Amudha is a member of ISTE, MIE in India and IEEE member.

C. Christober Asir Rajan

Christober Asir Rajan born on 1970 and received his B.E. (Distn.) degree (Electrical and Electronics) and M.E. (Distn.) degree (Power System) from the Madurai Kamaraj University (1991 & 1996), Madurai, India. And he received his postgraduate degree in DI.S. (Distn.) from the Annamalai University, Chidambaram (1994). He received his Ph.D in Power System from Anna University (2001-2004), Chennai, India. He published technical papers in International & National Journals and Conferences. He is currently working as Associate Professor in the Electrical Engineering Department at Pondicherry Engineering College, Pondicherry, India. His area of interest is power system optimization, operational planning and control. He acquired Member in ISTE and MIE in India and Student Member in Institution of Electrical Engineers, London.