Adaptive algorithm for optimal real‐time pricing in cognitive radio enabled smart grid network
| Autor: | Deepa Das, Deepak Kumar Rout |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
demand response management
Real time pricing General Computer Science Adaptive algorithm Computer science lcsh:Electronics Real-time computing lcsh:TK7800-8360 lcsh:Telecommunication Electronic Optical and Magnetic Materials Smart grid Cognitive radio lcsh:TK5101-6720 real‐time pricing Smart grid network cognitive radio Electrical and Electronic Engineering smart grid two‐stage multi‐armed bandit game |
| Zdroj: | ETRI Journal, Vol 42, Iss 4, Pp 585-595 (2020) |
| ISSN: | 2233-7326 1225-6463 |
| DOI: | 10.4218/etrij.2018-0446 |
| Popis: | Integration of multiple communication technologies in a smart grid (SG) enables employing cognitive radio (CR) technology for improving reliability and security with low latency by adaptively and effectively allocating spectral resources. The versatile features of the CR enable the smart meter to select either the unlicensed or the licensed band for transmitting data to the utility company, thus reducing communication outage. Demand response management is regarded as the control unit of the SG that balances the load by regulating the real‐time price that benefits both the utility company and consumers. In this study, joint allocation of the transmission power to the smart meter and consumer's demand is formulated as a two stage multi‐armed bandit game in which the players select their optimal strategies noncooperatively without having any prior information about the media. Furthermore, based on historical rewards of the player, a real‐time pricing adaptation method is proposed. The latter is validated through numerical results. |
| Databáze: | OpenAIRE |
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