Abstract
The smart grid is a self-employed future generation electricity grid. The demand response programs have proved a valuable contribution towards the implementation of this future grid. With the help of advanced metering infrastructure, it becomes viable for home users to optimize their load with the rotation of real-time prices as well as minimize the cost incurred for their energy consumption. This paper presents a distributed load scheduling method for demand response programs in the framework of the smart grid. The distributed optimization approach has been carried out to optimize the cost of the user and load leveling for utility. This algorithm is implemented using alternating method of multipliers (ADMM) via parallel approach. The cost saving of users can improve the mechanism of the system and encourage other users to participate. The simulation result proves the efficiency of the proposed algorithm.
| Original language | English |
|---|---|
| Pages (from-to) | 4238-4246 |
| Number of pages | 9 |
| Journal | Engineering Letters |
| Volume | 33 |
| Issue number | 10 |
| Publication status | Published - 2025 |
| Externally published | Yes |
Keywords
- Lagrange multiplier
- Smart grid
- advanced metering infrastructure
- demand response programs
- real time pricing
ASJC Scopus subject areas
- General Engineering