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A Game-Theoretic Framework for Resilient and Distributed Generation Control of Renewable Energies in Microgrids
- Source :
- IEEE Transactions on Smart Grid. 8:285-295
- Publication Year :
- 2017
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2017.
-
Abstract
- The integration of microgrids that depend on the renewable distributed energy resources with the current power systems is a critical issue in the smart grid. In this paper, we propose a non-cooperative game-theoretic framework to study the strategic behavior of distributed microgrids that generate renewable energies and characterize the power generation solutions by using the Nash equilibrium concept. Our framework not only incorporates economic factors but also takes into account the stability and efficiency of the microgrids, including the power flow constraints and voltage angle regulations. We develop two decentralized update schemes for microgrids and show their convergence to a unique Nash equilibrium. Also, we propose a novel fully distributed PMU-enabled algorithm which only needs the information of voltage angle at the bus. To show the resiliency of the distributed algorithm, we introduce two failure models of the smart grid. Case studies based on the IEEE 14-bus system are used to corroborate the effectiveness and resiliency of the proposed algorithms.<br />11 pages; This paper has been accepted to publish in IEEE Transactions on Smart Grid. This is the final version
- Subjects :
- General Computer Science
Computer science
Energy resources
020209 energy
Distributed computing
Stability (learning theory)
Systems and Control (eess.SY)
02 engineering and technology
7. Clean energy
Computer Science::Hardware Architecture
symbols.namesake
Electric power system
FOS: Electrical engineering, electronic engineering, information engineering
0202 electrical engineering, electronic engineering, information engineering
Non-cooperative game
business.industry
Renewable energy
Electricity generation
Smart grid
Nash equilibrium
Distributed algorithm
Distributed generation
symbols
Computer Science - Systems and Control
business
Voltage
Subjects
Details
- ISSN :
- 19493061 and 19493053
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Smart Grid
- Accession number :
- edsair.doi.dedup.....79a99a33d2380f0028943de2ea4f6d06
- Full Text :
- https://doi.org/10.1109/tsg.2016.2598771