A disaster-triggered life-support load restoration framework based on Multi-Agent Consensus System
- 1 December 2015
- journal article
- Published by Elsevier in Neurocomputing
- Vol. 170, 339-352
Abstract
No abstract availableKeywords
This publication has 22 references indexed in Scilit:
- Hybrid Three-Phase/Single-Phase Microgrid Architecture With Power Management CapabilitiesIEEE Transactions on Power Electronics, 2014
- Power swing and voltage collapse identification schemes for correct distance relay operation in power systemJournal of Central South University, 2013
- Neural-Network-Based Near-Optimal Control for a Class of Discrete-Time Affine Nonlinear Systems With Control ConstraintsIEEE Transactions on Neural Networks, 2009
- Multi-Agent Systems for Power Engineering Applications—Part I: Concepts, Approaches, and Technical ChallengesIEEE Transactions on Power Systems, 2007
- Applying Multi-Agent System Technology in Practice: Automated Management and Analysis of SCADA and Digital Fault Recorder DataIEEE Transactions on Power Systems, 2006
- Blackout Prevention in the United States, Europe, and RussiaProceedings of the IEEE, 2005
- Modeling, identification, and control of a class of nonlinear systemsIEEE Transactions on Fuzzy Systems, 2001
- A fuzzy basis function vector-based multivariable adaptive controller for nonlinear systemsIEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2000
- Knowledge-based systems as operational aids in power system restorationProceedings of the IEEE, 1992
- Operational experience and maintenance of online expert system for customer restoration and fault testingIEEE Transactions on Power Systems, 1992