JOURNAL ARTICLE

Time-horizont distributed energy resources scheduling considering the integration of real-time pricing demand response

Abstract

The energy resource management is becoming increasingly important and complex, because of the growing use of distributed generators and electric vehicles connected to the distribution network. This paper presents a platform to be used by virtual power players regarding the energy resource management in smart grids and considering day-ahead, hour-ahead, and real-time time-horizons. This method considers that the energy resources are managed by a virtual power player that establishes contracts with their owners. Two approaches are presented to the real-time scheduling, the use of direct load control demand response events, and the use of real-time pricing demand response. The model uses full AC power flow to take into account network constraints. A case study with a 33-bus distribution network and a large number of distributed energy resources is used to illustrate the platform.

Keywords:
Demand response Computer science Distributed generation Scheduling (production processes) Load management Distributed computing Smart grid Dynamic pricing Virtual power plant Real-time computing Electricity Renewable energy Engineering Electrical engineering Business Operations management

Metrics

6
Cited By
1.00
FWCI (Field Weighted Citation Impact)
12
Refs
0.81
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Smart Grid Energy Management
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Electric Vehicles and Infrastructure
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Microgrid Control and Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering
© 2026 ScienceGate Book Chapters — All rights reserved.