This paper develops a tariff optimization model for demand response by analyzing all costs generated by each stage for delivery energy to final consumers, prioritizing the recovery of all costs associated with the system, transferring it to customers by rates for demand response system 'real time pricing', ARIMA models are used to estimate the possible demand that the system will have during the next day, with this demand an economic dispatch is made considering the costs for generation, transmission, distribution, commercialization, reliability and losses, optimal rates to be applied to different customers of different zones, is the purpose, these rates will be calculated daily and vary depending on the behavior of customer consumption in previous days and the historical data of the system, encouraging the change in electricity consumption for the benefit of customers and the system.
|Title of host publication||2019 FISE-IEEE/CIGRE Conference - Living the Energy Transition, FISE/CIGRE 2019|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|State||Published - Dec 2019|
|Event||2019 FISE-IEEE/CIGRE Conference - Living the Energy Transition, FISE/CIGRE 2019 - Medellin, Colombia|
Duration: 4 Dec 2019 → 6 Dec 2019
|Name||2019 FISE-IEEE/CIGRE Conference - Living the Energy Transition, FISE/CIGRE 2019|
|Conference||2019 FISE-IEEE/CIGRE Conference - Living the Energy Transition, FISE/CIGRE 2019|
|Period||4/12/19 → 6/12/19|
Bibliographical notePublisher Copyright:
© 2019 IEEE.
- Demand Response
- Generation Distribution
- micro grid
- Renewable Energy
- Smart Grid