Game-theoretic approach to cooperative control of distributed energy resources in islanded microgrid considering voltage and frequency stability

• Published in: Neural computing & applications Vol. 25; no. 2; pp. 343 - 351
• Main Authors: Sanjari, M. J., Gharehpetian, G. B.
• Format: Journal Article
• Language: English
• Published: London Springer London 01-08-2014; Springer
• Subjects: Algorithmics. Computability. Computer arithmetics; Applied sciences; Artificial Intelligence; Computational Biology/Bioinformatics; Computational Science and Engineering; Computer Science; Computer science; control theory; systems; Data Mining and Knowledge Discovery; Electrical engineering. Electrical power engineering; Electrical power engineering; Energy; Exact sciences and technology; Game theory; Image Processing and Computer Vision; Natural energy; Operation. Load control. Reliability; Operational research and scientific management; Operational research. Management science; Original Article; Power networks and lines; Probability and Statistics in Computer Science; Theoretical computing; Distributed generation; Artificial neural network; Microgrid; Game theory; Colonial competitive algorithm; Evolutionary algorithm; Control synthesis; Power system stability; Nash equilibrium; Distributed power generation; Energy storage system; Modeling; Competitive algorithms; Low voltage; Energy resources; Levenberg Marquardt algorithm; Atomic standard; Cooperation; Voltage; Voltage stability; Atomic clock; Neural network; Renewable energy sources; Electrical network; Optimal solution; Critical load; Colony; Frequency stability
• ISSN: 0941-0643; 1433-3058
• DOI: 10.1007/s00521-013-1497-5

A microgrid (MG) comprises a low-voltage network with several microsources, critical and noncritical loads, and energy storage systems (ESSs). It can operate in the grid-connected or islanded modes. In islanded mode, the voltage and frequency of the MG should be controlled by different distributed energy resources (DERs). This paper focuses on the analysis of frequency stability in an autonomous MG with renewable energy sources. In this paper, colonial competitive algorithms are used to design the DERs controllers in a cooperative manner that these controllers can keep the MG stable. Artificial neural network tool trained by Levenberg–Marquardt algorithm is used to generate controlling signal for every controller to keep the frequency and voltage in a desired range. This paper investigates a new optimal control solution for maintaining the frequency stability in the MG, by using a combination of an ESS and load-shedding procedure. The cooperative game theory is used in this paper to model the interaction among different DERs, ESSs, and loads.