Home > Published Issues > 2022 > Volume 11, No. 6, November 2022 >
IJEETC 2022 Vol.11(6): 435-449
doi: 10.18178/ijeetc.11.6.435-449

Investigation on Optimization Algorithms for Smart Home Energy Management with Different Electricity Pricing

Senthil Prabu Ramalingam and Prabhakar Karthikeyan Shanmugam
School of Electrical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

Abstract—The focus of this paper is on energy consumption optimization in smart homes (with/without RES) and increasing the user comfort level. The paper presents a functional and adaptable home energy management system with RES and an energy storage device for designing and implementing Demand Response (DR) programs. The four meta-heuristic techniques: Genetic Algorithm (GA), Wind-Driven Optimization (WDO), Grey Wolf Optimization (GWO) and Salp Swarm Optimization (SSA), are used to optimize the energy consumption cost for a home energy environment. In the process of identifying and proposing a dedicated home energy optimization algorithm, this paper investigated four optimization algorithms with four different pricing schemes: Time of Use (TOU) pricing, Real-Time Pricing (RTP), Critical Peak Pricing (CPP), and Day-Ahead Pricing (DAP) schemes. The results obtained using these pricing schemes are validated and compared in a common smart home environment. Further, the results show that by integrating Renewable Energy Sources (RES) and a battery reduces the electricity bill by 10.89% (without RES) and 38.88% (with RES), as well as the peak-to-average ratio (PAR) by 59.97% (without RES) and 64.98% (with RES) when compared to the energy consumption cost obtained without-scheduling technique. Moreover, without RES, the SSA algorithm based home energy management system outperforms the other algorithms particularly with the TOU pricing scheme.
Index Terms—Home energy management, renewable energy sources, salp swarm optimization, peak-average ratio, time of use price, real-time price, critical peak price, Day-ahead price

Cite: Senthil Prabu Ramalingam and Prabhakar Karthikeyan Shanmugam, "Investigation on Optimization Algorithms for Smart Home Energy Management with Different Electricity Pricing," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 11, No. 6, pp. 435-449, November 2022. Doi: 10.18178/ijeetc.11.6.435-449

Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.