Social Spider Optimization Algorithm-Based Optimized Power Management Schemes

Abstract

Energy management (EM) is the essential factors of a smart grid, among residential consumers. These also include the demand side response and cost analysis. The aim of this paper is to be ecological benefit analysis for better consumption and load management. By shifting the load demand, the housing electricity cost reduced by the house energy management system (HEMS)-based cost analysis technique. The optimization is developed to minimize the cost, reduce greenhouse gases emissions and curtail dump energy. The implementation results are obtained by MATLAB R2016a working platform and the results are compared with different kind of algorithms such as ant lion optimization (ALO), Shuffled frog leaping algorithm (SFLA), flower pollination algorithm (FPA), Bees algorithm (BA), crow search optimization (CSO) algorithm. The reduction of electricity cost in a smart home is the main aim of the objective constrained problem and provides the solution to the proposed system. In addition, it uses to discover the operation modes of different loads with production systems. The simulated results obtained with the lowest price in the proposed system, which is about 10, 716.12Rs. Thus, the efficiency of the proposed system makes 76% better than the existing methods.

Keywords:

• demand-side energy management
• PV
• wind
• grid
• battery
• thermal controllable loads
• and social spider optimization algorithm

Additional information

Notes on contributors

Karthik Suruli

Karthik Suruli, author received the B.E. Degree in Electrical and Electronics Engineering from Anna University, Chennai, India in 2009 and the M.E. Degree in Power Electronics and Drives from P.S.G. College of technology (Anna University) Coimbatore, India, in 2012. Presently, he is an Assistant Professor (Sr.Gr.) in the department of Electrical and Electronics Engineering at P.S.G. College of technology, Coimbatore and pursuing PhD research in Anna University, Chennai. His research interests are smart grid technologies and renewable energy resources.

Vennila Ila

Vennila Ila, coauthor received the B. Tech. Degree in Electronics and communication from government college of technology, Coimbatore, India in 1985 and the M.E. Degree in Communication Systems from Anna University, India, in 1989. Got PhD Degree in Electronics and communication in 2005 Presently, she is Professor in the department of Electrical and Electronics Engineering at P.S.G. College of technology, Coimbatore having 30 years of teaching experience and life member of Indian Society for Technical Education, New Delhi. She published more than 50 papers in national and international journals and guided more than 12 PhD candidates from Anna University, Chennai. She is subject expertise in adaptive signal processing, digital image processing, electromagnetic fields, processing techniques, FPGA-based system design and wireless sensor networks.