@inproceedings{caa45af369974ab2bfd9f9f989f9bd5e,
title = "Reducing Generation Cost by Optimum Load Scheduling in Smart Grid Considering System Loss",
abstract = "Reducing electricity generation cost, and peak demand, are two key requirements for smart grid. Load scheduling is an effective way to reduce the peak demand for reducing generation cost. In this paper, the problem of scheduling the loads of a substation is analyzed considering system losses - which is modeled including transmission loss and transformer loss - to minimize the electricity generation cost. An optimization algorithm is then formulated to determine the optimal schedule of the loads within 24 hours of a day. The problem is solved for various load scenarios by using optimization tools including MINOS, FilMINT, and CPLEX. The numerical results show that optimal load scheduling reduces the average generation cost by more than 34% compared to that of a conventional system. However, this reduction decreases with increasing number of load. System loss also has a significant impact on the reduction of generation cost by optimal load scheduling.",
keywords = "Load scheduling, Non-linear programming, Optimization, Smart grid, Substation, System loss",
author = "Shuvangkar Das and Saha, {Partha Protim} and Uddin, {Md Forkan} and Eklas Hossain",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018 ; Conference date: 23-09-2018 Through 27-09-2018",
year = "2018",
month = dec,
day = "3",
doi = "10.1109/ECCE.2018.8557931",
language = "English",
series = "2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2663--2669",
booktitle = "2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018",
}
