Navegando por Assunto "Preventive control"

Agora exibindo 1 - 3 de 3

Acesso aberto (Open Access)
Aplicações de controle preventivo baseadas em árvore de decisão para aumentar a capacidade de sobrevivência a afundamentos de tensão dos geradores de indução duplamente excitados em sistemas de potência
(Universidade Federal do Pará, 2018-09-21) VIEIRA, Dione Jose Abreu; NUNES, Marcus Vinícius Alves; http://lattes.cnpq.br/9533143193581447
The development of a preventive control methodology to increase the capacity of voltage sag recovery (Fault Ride Through Capability (FRTC)) of a doubly-fed induction generator (DFIG) connected in an electrical network is presented. This methodology, which is based on the decision trees (DT) technique, assists with monitoring and support for security and preventive control, ensuring that wind systems remain connected to the power system even after the occurrence of disturbances in the electric system. Based on offline studies, DT discovers inherent attributes of the FRTC scenario related to electrical system behavior and provides a quick prediction model for real-time applications. From the obtained results, it is possible to check that the DFIG is contributing to a system’s operation security from the availability of power dispatch and participation in the voltage control. It is also noted that the use of DT, in addition to classifying the system’s operational state with good accuracy, also significantly facilitates the operator´s task, by directing him to monitor the most critical variables of the monitored operation state for a given system’s topological configuration.
Acesso aberto (Open Access)
Comparação dos algoritmos C4.5 e MLP usados na avaliação da segurança dinâmica e no auxílio ao controle preventivo no contexto da estabilidade transitória de sistemas de potência
(Universidade Federal do Pará, 2013-03-06) OLIVEIRA, Werbeston Douglas de; BEZERRA, Ubiratan Holanda; http://lattes.cnpq.br/6542769654042813; VIEIRA, João Paulo Abreu; http://lattes.cnpq.br/8188999223769913
This work compares the C4.5 and multilayer perceptron (MLP) algorithms applied for dynamic security assessment (DSA) and power system stability transient preventive control design. C4.5 is an algorithm of the decision tree (DT) technique and the MLP is a member of artificial neural network (ANNs) family. The advent of DTs and ANNs provides solution to real-time DSA issues in order to identify quickly when a power system is subjected to a critical disturbance (short-circuit) that may lead to transient instability. In addition, the knowledge obtained by both techniques can be utilized in the preventive control design to restore the power system security against critical disturbances. Based on the data base generation with exhaustive time-domain simulations, some specific critical disturbances are taken as examples to compare the C4.5 and MLP algorithms employed to DSA and guideline to preventive actions. The comparative study is tested on the New England power system. In the case studies, the knowledge database is generated by using PSTv3 (Power System Toolbox) software. The DTs and ANNs are trained and tested by the Rapidminer software. The obtained results have demonstrated a promising application of the C4.5 and MLP algorithms used in power system DSA and preventive control design.
Acesso aberto (Open Access)
Metodologia de controle preventivo baseado em árvore de decisão para a melhoria da segurança estática e dinâmica de sistemas elétricos de potência
(Universidade Federal do Pará, 2015-12-05) GAIA, Dieigo Sá; BEZERRA, Ubiratan Holanda; http://lattes.cnpq.br/6542769654042813; VIEIRA, João Paulo Abreu; http://lattes.cnpq.br/8188999223769913
This work aims to present a set of computational tools to support the real time operation and preventive control to enhance the static and dynamic security of power systems. The data mining technique known as decision tree was utilized to determine power system operating state as well as to provide operating guidelines for the preventing control actions necessary to avoid continuous decline of bus voltages and transient instability problems. Preliminary tests were carried out using operation historical data collected by SCADA/SAGE host located at Eletrobrás Eletronorte's regional control center. The obtained results validated the set of computational tools and also demonstrated the prospective application in real time operating environment.