Identification of Dynamic Equivalents of Active Distribution Networks through MVMO

Author:

Gusain Digvijay,Rueda José L.,Boemer Jens C.,Palensky Peter

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference14 articles.

1. "Artificial neural network-based dynamic equivalents for distribution systems containing active sources,";Azmy;IEE Proceedings -Generation, Transmission and Distribution,2004

2. Cepeda J. C., J. L. Rueda and I. Erlich, "Identification of dynamic equivalents based on heuristic optimization for smart grid applications," 2012 IEEE Congress on Evolutionary Computation, Brisbane, QLD, 2012, pp. 1-8.

3. Emmanuel v.R., Jens C.B., Rueda J.L, Mart A.M.M. Madeleine G. Konstantinos S. (2014), A Proposal For New Requiremetns For Fault Behavior Of Distributed Generation Connected To Low Voltage Networks, 4th Solar Integration Workshop

4. Evaluating the Mean-Variance Mapping Optimization on the IEEE-CEC 2014 Test Suite;Erlich;IEEE Congress on Evolutionary Computation,2014

5. Erlich I., Venayagamoorthy G. K. and Worawat N., "A Mean-Variance Optimization algorithm," IEEE Congress on Evolutionary Computation, Barcelona, 2010, pp. 1-6. doi: 10.1109/CEC.2010.5586027

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