A Novel Residential Energy Management System Based on Sequential Whale Optimization Algorithm and Fuzzy Logic

Residential Energy Management System

  • S. Nethravathi Department of Electrical and Electronics Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu, India
  • Venkatakirthiga Murali Department of Electrical and Electronics Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu, India
Keywords: Demand side management, optimization, fuzzy logic, nergy management system

Abstract

Demand side management has become inevitable in today’s smart grid environment to balance electricity supply and demand. Many methodologies/algorithms have been developed for realizing and implementing this technique at different levels of distribution systems. Advanced metering infrastructure and the latest communication technologies have empowered residential consumers to participate in the demand side management schemes. After careful investigations and analyses, the authors of this paper have made a decisive effort to propose a novel sequential strategy for developing an energy management system for scheduling loads of residential consumers. The proposed work aims at a fuzzy logic and an evolutionary algorithm-based approach of demand side management that considers the users’ preference of operating time of the appliances at the residence of their choice, which has not been addressed earlier. This approach reduces the peak demand and cuts the cost of electricity per billing period for a consumer. This study also encourages the consumers to install solar rooftop PV systems by indicating the cost benefits reaped over a more extended period. The proposed framework is implemented in MATLAB, and the case studies prove the effectiveness of using this algorithm from the consumers’ perspective.

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Author Biographies

S. Nethravathi, Department of Electrical and Electronics Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu, India

S. Nethravathi received bachelor’s degree in Electrical and Electronics Engineering in 2005 and a master’s degree in Power Systems Engineering in 2008 from Visvesvaraya Technological University, and currently working towards a doctorate in Electrical and Electronics Engineering at National Institute of Technology Tiruchirapalli. Her research areas include demand side management, energy routing, internet of energy, and optimization techniques for energy management systems.

Venkatakirthiga Murali, Department of Electrical and Electronics Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu, India

Venkatakirthiga Murali (M’13–SM’19) received B.E. degree in Electrical and Electronics from Bharathidasan University, Tiruchirappalli, India, in 2000, and the M.Tech. degree in Power Systems and the Doctorate degree in distributed generation and microgrids from the National Institute of Technology Tiruchirappalli (NITT), Tiruchirappalli, in 2004 and 2014, respectively. She is currently working as an Associate Professor with the Department of Electrical and Electronics Engineering, NITT. She has total teaching experience of 18 years. She is also serving as a reviewer to many reputed international journals. Her research interests include power systems, HVDC transmission systems, distribution systems, and electrical machines. She is also a Fellow Institution of Engineers, India.

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Published
2021-12-18
Section
SPECIAL ISSUE: Energy Access & Off-Grid Systems for Residential Microgrids/Nanog