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Published June 14, 2017 | Version v1
Journal article Open

Implementation of a Real-Time Microgrid Simulation Platform Based on Centralized and Distributed Management

  • 1. GECAD—Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, IPP—Polytechnic Institute of Porto, Rua DR. Antonio Bernardino de Almeida, 431, Porto 4200-072, Portugal
  • 2. BISITE—Bioinformatics, Intelligent Systems and Educational Technology Research Center, University of Salamanca, Salamanca 37008, Spain

Description

Demand response and distributed generation are key components of power systems. Several challenges are raised at both technical and business model levels for integration of those resources in smart grids and microgrids. The implementation of a distribution network as a test bed can be difficult and not cost-effective; using computational modeling is not sufficient for producing realistic results. Real-time simulation allows us to validate the business model’s impact at the technical level. This paper comprises a platform supporting the real-time simulation of a microgrid connected to a larger distribution network. The implemented platform allows us to use both centralized and distributed energy resource management. Using an optimization model for the energy resource operation, a virtual power player manages all the available resources. Then, the simulation platform allows us to technically validate the actual implementation of the requested demand reduction in the scope of demand response programs. The case study has 33 buses, 220 consumers, and 68 distributed generators. It demonstrates the impact of demand response events, also performing resource management in the presence of an energy shortage. 

Notes

The present work was done and funded in the scope of the following projects: Project AVIGAE (ANI|P2020 003401), funded by Portugal 2020 "Fundo Europeu de Desenvolvimento Regional" (FEDER) through POCI (Programa Operacional Competitividade e Internacionalização); UID/EEA/00760/2013 funded by FEDER Funds through COMPETE program and by National Funds through FCT; and ITEA project nr. 12004—SEAS—Smart Energy Aware Systems.

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Additional details

Funding

UID/EEA/00760/2013 – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development 147448
Fundação para a Ciência e Tecnologia