Demand Side Management in Smart Grids: A Stackelberg Multi Period Multi Provider Game
| Autor: | Ali ELMasri, Hala Alsalloum, Leila Merghem-Boulahia, Rana Rahim |
|---|---|
| Přispěvatelé: | Environnement de Réseaux Autonomes (ERA), Institut Charles Delaunay (ICD), Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS)-Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS), Université Libanaise |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Computer science
business.industry 020209 energy 02 engineering and technology Energy consumption Environmental economics 7. Clean energy Profit (economics) Renewable energy [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] Smart grid Electricity generation 0202 electrical engineering electronic engineering information engineering Stackelberg competition Portfolio business Game theory ComputingMilieux_MISCELLANEOUS |
| Zdroj: | 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS) 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS), Feb 2018, Paris, France. pp.1-5 NTMS |
| Popis: | In the smart grid context, with the growth of the energy demand, Demand Side Management (DSM) is a good solution to balance the power consumption and the power generation. Its main goal is to satisfy the two essential actors: the providers and the consumers, in order to improve the reliability and the efficiency of the smart grid. With the integration of renewable energies, the number of providers increases leading to introducing many challenges in the load control. In this paper, we propose a novel real time pricing algorithm based on Stackelberg game. It defines the consumers' energy consumption and the providers' price by taking advantages of the bidirectional communication infrastructure in such way to minimize the consumers' bills and maximize the providers' profit; these two concepts become nowadays a portfolio to work on. In this game, different active consumers (i.e. prosumers) negotiate with different energy providers. The performance of our algorithm is proved through extensive simulations. The coherence between the prices/demands deal is shown with two scenarios compared to the literature. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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