Cellular Automata Model with Game Theory for Power Management of Hybrid Renewable Energy Smart Grids

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• 作者：Prodromos Chatziagorakis (18)
  Constantinos Elmasides (19)
  Georgios Ch. Sirakoulis (18)
  Ioannis Karafyllidis (18)
  Ioannis Andreadis (18)
  Nikolaos Georgoulas (18)
  Damianos Giaouris (20)
  Athanasios I. Papadopoulos (20)
  Chrysovalantou Ziogou (20)
  Dimitris Ipsakis (20)
  Simira Papadopoulou (20)
  Panos Seferlis (20)
  Fotis Stergiopoulos (20)
  Paris Voutetakis (20)
  
• 关键词：Cellular Automata ; Game Theory ; Modeling ; Power Management Strategy ; Hybrid Renewable Energy System ; Smart Energy Grids
• 刊名：Lecture Notes in Computer Science
• 出版年：2014
• 出版时间：2014
• 年：2014
• 卷：8751
• 期：1
• 页码：248-257
• 全文大小：374 KB
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• 作者单位：Prodromos Chatziagorakis (18)
  Constantinos Elmasides (19)
  Georgios Ch. Sirakoulis (18)
  Ioannis Karafyllidis (18)
  Ioannis Andreadis (18)
  Nikolaos Georgoulas (18)
  Damianos Giaouris (20)
  Athanasios I. Papadopoulos (20)
  Chrysovalantou Ziogou (20)
  Dimitris Ipsakis (20)
  Simira Papadopoulou (20)
  Panos Seferlis (20)
  Fotis Stergiopoulos (20)
  Paris Voutetakis (20)
  
  18. Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece
  19. Systems Sunlight S.A., Xanthi, Greece
  20. Chemical Process Engineering Research Institute, Centre for Research and Technology Hellas, Thermi-Thessaloniki, Greece
  
• ISSN：1611-3349

文摘

In recent years, control of smart grids that match electricity demand in different sites and forms with supply has been considered as one of the most difficult aspect of smart energy grids design. In this paper we present a Cellular Automata (CA) based approach combined with Game Theory for the enhancement of Power Management Strategies (PMSs) of multiple Hybrid Renewable Energy Systems (HYRES) that form a smart grid for the exchange of energy. More specifically, taking advantage of the local interactions of HYRES we coupled CA principles with Public Goods Game (PGG) for modeling. The presented CA model focuses on providing valuable feedback for PMSs of the understudy HYRES connected in a grid. In this manner, a flexible network based HYRES design is considered and applied to specific HYRESs located in Olvio, near Xanthi, Greece, part of SYSTEMS SUNLIGHT facilities. The proposed model can be applied to the understudy HYRESs grid management to enhance and optimize its PMS based on the provided energy prediction scenarios.