Journal of Energy Management and Technology

Journal of Energy Management and Technology

Dynamic Incentive Pricing for Demand Response Programs Based on in-use Appliances Utilizing Non-Intrusive Load Monitoring

Document Type : Original Article

Authors
Parsa Eslami 1
Amir Abdollahi 2
Masoud Rashidinejad 1
1 Electrical Engineering Department, Shahid Bahonar University of Kerman, Kerman, Iran
2 Electrical Engineering Department, Shahid Bahonar University of Kerman, Kerman, Iran.
10.22109/jemt.2024.449080.1499
Abstract
Demand response programs (DRPs) have gained significant importance in optimizing power systems by reducing peak demand, enhancing grid stability, promoting energy efficiency, and facilitating the integration of renewable energy sources. This paper introduces a novel approach for DRPs by utilizing dynamic incentive pricing strategies with in-use appliances. The proposed approach aims to incentivize consumers to curtail their energy consumption during peak periods, thereby alleviating strain on the grid. In order to address the challenges faced by existing DRPs in accurately monitoring appliance-level energy usage, this paper adopts non-intrusive load monitoring (NILM) as a powerful tool for monitoring and analyzing energy consumption patterns at the appliance level. The implemented DRP in this study is direct load control (DLC), complemented by the sequence to point (seq2point) algorithm for NILM. The proposed approach exhibits several advantages over traditional DRPs. Firstly, it enhances the accuracy of monitoring by utilizing NILM, allowing for appliance-level energy consumption analysis. Secondly, the dynamic incentive pricing strategy creates a financial incentive for consumers to reduce their energy consumption during peak periods, resulting in reduced strain on the grid and overall energy costs. The effectiveness of the proposed approach is evaluated through comprehensive economical and technical analyses. The results demonstrate its superiority compared to traditional DRPs. Notably, the proposed approach achieves a 15.7% reduction in peak demand and a 4% decrease in overall energy consumption. Furthermore, it significantly improves the load factor and peak-to-valley ratio, indicating enhanced grid stability and better utilization of energy resources.
Keywords
Demand response programs
Dynamic incentive
Non-intrusive load monitoring
In-use appliances
Sequence to point

Subjects

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Journal of Energy Management and Technology
Volume 9, Issue 4
Autumn 2025
Pages 215-223

  • Receive Date 19 March 2024
  • Revise Date 30 May 2024
  • Accept Date 12 June 2024