Balancing the smart grid is a continuous process that requires to equate the energy production with the consumption of electricity in the grid. Demand response can support the stability of the grid by incorporating the customer side. In order to communicate with the customers, standardized demand response protocols are used. However, the performance of such protocols varies based on the application, demand response strategy, and their tuning parameters. Therefore, this chapter presents a methodology for evaluating the performance of demand response protocols combined with a demand response strategy for the smart grid.
Chapter Contents:
- 14.1 Introduction
- 14.2 State of the art
- 14.3 Background
- 14.3.1 Demand response reference architecture
- 14.3.2 Demand response programs
- 14.3.3 Demand response protocols
- 14.3.3.1 Smart Energy Profile 2.0
- 14.3.3.2 OpenADR
- 14.3.3.3 Other protocols
- 14.3.4 Modeling languages and tools
- 14.3.4.1 UML
- 14.3.4.2 MARTE profile
- 14.3.4.3 Papyrus/Acceleo
- 14.3.4.4 Python/SimPy
- 14.3.5 Evaluation metrics
- 14.4 The methodology
- 14.4.1 Describing household scenarios, demand response strategy, and protocol
- 14.4.2 Platform-independent and executable descriptions
- 14.4.3 Evaluating demand response strategy and protocol
- 14.5 Proof of concept
- 14.6 Experimental results
- 14.6.1 Case 1: individual household
- 14.6.1.1 Describing household scenarios, demand response strategy, and protocol
- 14.6.1.2 Platform-independent and executable descriptions
- 14.6.1.3 Evaluating demand response strategy and protocol
- 14.6.2 Case 2: load aggregation
- 14.6.2.1 Describing scenario, demand response strategy, and protocol
- 14.6.2.2 Platform-independent and executable descriptions
- 14.6.2.3 Evaluating demand response strategy and protocol
- 14.7 Conclusion
- Acknowledgments
- Bibliography
Inspec keywords:
power consumption;
smart power grids;
demand side management;
access protocols
Other keywords:
electricity consumption;
demand response communication protocols;
model-driven evaluation;
energy production;
smart grid;
customer side
Subjects:
Protocols;
Power system management, operation and economics
