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Multi-machine power system stability improvement using an observer-based nonlinear controller
(Elsevier Science Sa, 12)
Control and operation of electric networks undergo several changes due to growing energy coming from renewable sources and demanding power quality standards. New dynamic load features also pose a challenge to grid designers. ...
Comparison of FACTS STATCOM models for damping oscillations in power system due to small perturbations
(2011-05-31)
This paper presents small-signal stability studies of a multimachine power system, considering Static Synchronous Compensators (STATCOM)and discussed control modes of the STATCOM. The Power Sensitivity Model(PSM)is used ...
Energy Management and Control for Islanded Microgrid Using Multi-Agents
(Ieee, 2013-01-01)
This paper presents a multi-agent system for real-time operation of simulated microgrid using the Smart-Grid Test Bed at Washington State University. The multi-agent system (MAS) was developed in JADE (Java Agent DEvelopment ...
Neural network based on adaptive resonance theory with continuous training for multi-configuration transient stability analysis of electric power systems
(Elsevier B.V., 2011-01-01)
This work presents a methodology to analyze electric power systems transient stability for first swing using a neural network based on adaptive resonance theory (ART) architecture, called Euclidean ARTMAP neural network. ...
Primary Frequency Control of Multi-Machine Power Systems with STATCOM-SMES: A Case Study
(Elsevier, 2013-01)
Primary frequency control (PFC) has the ability to regulate short period random variations of frequency during normal operation conditions and response to emergency rapidly. However, in the last decade, many large blackouts ...
Uma metodologia para o controle de seguranca dinamica de sistemas de energia eletrica
(1998-05-01)
This work presents an algorithm for the security control of electric power systems using control actions like generation reallocation, determined by sensitivity analysis (linearized model) and optimization by neural networks. ...