International Journal of Research in Advanced Electronics Engineering
2026, Vol. 7, Issue 1, Part A
Advanced optimization of demand response strategies via smart energy metering infrastructure for sustainable power systems
Author(s): Moawia Ibrahim Ahmed Hamed
Abstract: Demand Response (DR) is used to improve the grid flexibility, peak reduction, accommodate variable renewable energy (VRE), and minimization of the costs involved in the operation of the system through alteration of the electricity demand in response to changes in price or system reliability. The smart metres and other features, such as Meter Data Management Systems (MDMS), advanced Metering Infrastructure (AMI), and secure communications, allow automated DR services to be offered through data. The literature review is concentrated on the changes since 2015 and offers a Hybrid Optimization Framework (HOF) aimed at enhancing the performance of DR without damaging user experience, the safety of devices, or the privacy of data. The HOF uses high-resolution AMI, machine learning, and multi-objective optimization with sub-hourly sensing, two-way control, and edge/cloud analytics of Day-Ahead load and VRE forecasting, customer segmentation, and Non-Intrusive Load Monitoring (NILM). It is a risk-sensitive two-step optimization engine that integrates Stochastic Mixed-Integer Linear Programming with real-time Model Predictive Control. Predictive elasticity models are based on the economic signals and the user behaviour. The 24-h simulation of residential aggregations reveals that the HOF is capable of continually decreasing the peak load by 15 to 25 percent and making considerable cost savings. It also considers such practical issues as the reliability of communication, cybersecurity, compliance with regulations, and equitable access. On balance, the HOF provides a versatile, powerful methodology of DR modernization in smart grids, incorporating innovative analytics, control systems, and incentive-based methods.
DOI: 10.22271/27084558.2026.v7.i1a.71
Pages: 14-20 | Views: 92 | Downloads: 33
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How to cite this article:
Moawia Ibrahim Ahmed Hamed. Advanced optimization of demand response strategies via smart energy metering infrastructure for sustainable power systems. Int J Res Adv Electron Eng 2026;7(1):14-20. DOI: 10.22271/27084558.2026.v7.i1a.71
