Dynamic and scenario based elicitation of genetic algorithms of agents for control of distributed power system networks and renewable energy resources

The paper proposes an agent system for distributed generation setup identifying role and requirements of each agent. Genetic algorithms, due to their applicability for optimization solutions of nonlinear and stochastic scenarios, can find place in development of agents for distributed control. Advan...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Alamdar Razam SM, Kamran, F., Akbar, M.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Control systems Data handling Distributed control Genetic algorithms Nonlinear dynamical systems Power system control Power system dynamics Power systems Renewable energy resources Stochastic processes
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