Nonintrusive energy monitoring for microgrids using hybrid self-organizing feature-mapping networks

Energies

Volumn 5, Issue 7, 2012, Pages 2578-2593

  Hong, Ying Yi ^a   Chou, Jing Han ^a  

^a CHUNG YUAN CHRISTIAN UNIVERSITY   (Taiwan)

Author keywords

Harmonics; Microgrid; Nonintrusive energy monitoring; Self organizing feature mapping

Indexed keywords

ELECTRIC FAULT CURRENTS; MAPPING; MONITORING; SELF ORGANIZING MAPS; SPEECH RECOGNITION; TURBOGENERATORS; WIND POWER; WIND TURBINES;

DIESEL GENERATORS; ENERGY MONITORING; HARMONICS; MICRO GRID; NONINTRUSIVE ENERGY MONITORING; POINT OF COMMON COUPLING; SELF ORGANIZING FEATURE MAPPING NEURAL NETWORK; SELF-ORGANIZING FEATURE MAPPING;

ELECTRIC RECTIFIERS;

EID: 84864597308     PISSN: None     EISSN: 19961073     Source Type: Journal    
DOI: 10.3390/en5072578     Document Type: Article

References (17)

1. UNFCCC. Kyoto Protocol to the United Nations Framework Convention on Climate Change; United Nations: Kyoto, Japan, 1997.
2. IEEE Standards Coordinating Committee. IEEE Application Guide for Interconnecting Distributed Resources with Electric Power Systems, IEEE Standard 1547™; IEEE: New York, NY, USA, 2011.
3. Hart, G.W. Nonintrusive appliance load monitoring. Proc. IEEE 1992, 80, 1870-1891.
4. Leeb, S.B.; Shaw, S.R.; Kirtley, J.L., Jr. Transient event detection in spectral envelope estimates for nonintrusive load monitoring. IEEE Trans. Power Deliv. 1995, 10, 2000-2010.
5. Cole, A.; Albicki, A. Nonintrusive identification of electrical loads in a three-phase environment based on harmonic content. In Proceedings of 17th IEEE Instrumentation and Measurement Technology Conference, Baltimore, MD, USA, 1-4 May 2000; pp. 24-29.
6. Cox, R.; Leeb, S.B.; Shaw, S.R.; Norford, L.K. Transient event detection for nonintrusive load monitoring and demand side management using voltage distortion. In Proceedings of 21st IEEE PES Applied Power Electronics Conference and Exposition, Dallas, TX, USA, 19-23 March 2006; pp. 1751-1757.
7. Chang, H.H.; Yang, H.T. Apply a nonintrusive energy management system to economic dispatch for cogeneration system and power utility. Appl. Energy 2009, 86, 2335-2343.
8. Bose, N.K.; Liang, P. Neural Network Fundamentals with Graphs, Algorithms, and Applications; McGraw-Hill Inc.: New York, NY, USA, 1996.
9. Hong, Y.Y.; Chang, H.L.; Chiu, C.S. Wind power forecasting using simultaneous perturbation stochastic approximation (SPSA) algorithm and neural network with fuzzy inputs. Energy 2010, 35, 3870-3876.
10. Zhou, D.Q.; Annakkage, U.D.; Rajapakse, A.D. Online monitoring of voltage stability margin using an artificial neural network. IEEE Trans. Power Syst. 2010, 25, 1566-1574.
11. Gutierrez-Martinez, V.J.; Cañizares, C.A.; Fuerte-Esquivel, C.R.; Pizano-Martinez A.; Gu, X.P. Neural-network security-boundary constrained optimal power flow. IEEE Trans. Power Syst. 2011, 26, 63-72.
12. Mehraeen, S.; Jagannathan, S.; Crow, M.L. Power system stabilization using adaptive neural network-based dynamic surface control. IEEE Trans. Power Syst. 2011, 26, 669-680.
13. Kim, J.Y.; Kim, H.M.; Kim S.K.; Jeon, J.H.; Choi, H.K. Designing an energy storage system fuzzy PID controller for microgrid islanded operation. Energies 2011, 4, 1443-1460.
14. Xiao, Z.; Li, T.H.; Huang, M.; Shi, J.H.; Yang, J.J.; Yu, J.; Wu, W. Hierarchical MAS based control strategy for microgrid. Energies 2010, 3, 1622-1638.
15. Papadimitriou, C.N.; Vovos, N.A. Transient response improvement of microgrids exploiting the inertia of a doubly-fed induction generator (DFIG). Energies 2010, 3, 1049-1066.
16. Lasseter, R.H.; Eto, J.H.; Schenkman, B.; Stevens, J.; Vollkommer, H.; Klapp, D.; Linton, E.; Hurtado, H.; Roy, J. CERTS microgrid laboratory test bed. IEEE Trans. Power Deliv. 2011, 26, 325-332.
17. Pelly, B.R. Thyristor Phase-Controlled Converters and Cycloconverters: Operation, Control, and Performance; Wiley-Interscience: New York, NY, USA, 1971.