Affiliation:
1. Department of Electrical and Electronics Engineering, Dr. M.G.R Educational and Research Institute, Chennai 600095, India
2. Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 708 00 Ostrava, Czech Republic
Abstract
Electricity demand has increased tremendously in recent years, due to the fact that all sectors require energy for their operation. Due to the increased amount of modern home appliances on the market, residential areas consume a significant amount of energy. This article focuses on the residential community to reduce peak load on residential distribution networks. Mostly, the residential consumer’s power demand increases more during the summer season due to many air conditioners (AC) operating in residential homes. This paper proposes a novel summer peak intelligent controller (SPIC) algorithm to reduce summer peak load in residential distribution transformers (RDT). This proposed SPIC algorithm is implemented in a multi-home energy management system (MHEMS) with a four-home hardware prototype and a real-time TNEB system. This hardware prototype is divided into two different cases, one with and one without taking user comfort into account. When considering consumer comfort, all residential homes reduce their peak load almost equally. The maximum and minimum contribution percentages in Case 2 are 29.82% and 19.30%, respectively. Additionally, the real-time TNEB system is addressed in two different cases: with and without incentive-based programs. In the real-time TNEB system during peak hours, the novel SPIC algorithm reduces peak demand in Case 1 by 113.70 kW, and Case 2 further reduces it to 118.80 kW. The peak load decrease in Case 2 during peak hours is 4.5% greater than in Case 1. In addition, we conducted a residential consumer opinion survey to validate the acceptance rate of the proposed design and algorithm.
Funder
VSB—Technical University of Ostrava
Subject
Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction
Reference31 articles.
1. Central Electricity Authority (2023, July 13). All India Installed Capacity (in MW) of Power Stations Installed Capacity (in MW). Available online: https://cea.nic.in/installed-capacity-report/?lang=en.
2. CEA INDIA (2023, April 30). Central Electricity Authority Executive Summary on Power Sector Government of India Ministry of Power. Available online: https://cea.nic.in/wp-content/uploads/executive/2023/04/Executive_Summary_Apr_2023-1.pdf.
3. A Data-Driven Residential Transformer Overloading Risk Assessment Method;Dong;IEEE Trans. Power Deliv.,2019
4. Electrical Percent Loading Assessment for the Distribution Transformers Residential-Used of a Barangay;Gomez;Int. J. Eng. Adv. Technol.,2020
5. Localized Demand Control of Flexible Devices for Peak Load Management;Tulabing;IEEE Trans. Smart Grid,2023