Energy management system for a renewable based microgrid with a demand side management mechanism

IEEE SSCI 2011 - Symposium Series on Computational Intelligence - CIASG 2011: 2011 IEEE Symposium on Computational Intelligence Applications in Smart Grid

Volumn , Issue , 2011, Pages 131-138

  Palma Behnke, R ^a   Benavides, C ^a   Aranda, E ^a   Llanos, J ^a   Saez D ^a  

^a UNIVERSITY OF CHILE   (Chile)

Author keywords

demand side management; Energy management system; microgrid; neural networks; photovoltaic panels; wind turbine

Indexed keywords

BATTERY BANKS; DATA SETS; DEMAND SIDE MANAGEMENTS; DIESEL GENERATORS; ECONOMIC SENSE; ELECTRIC CONSUMPTION; ELECTRIC LOAD DEMANDS; ENERGY MANAGEMENT SYSTEM; GENERATION UNITS; MICRO GRID; ON-LINE SET; OPERATION MODE; OPERATIONAL COSTS; PHOTOVOLTAIC PANELS; PRACTICAL IMPLEMENTATION; SETPOINTS; SPECIFIC LOCATION; WEATHER CONDITIONS;

ENERGY MANAGEMENT; NEURAL NETWORKS; PHOTOVOLTAIC EFFECTS; SMART POWER GRIDS; WATER PIPING SYSTEMS; WATER SUPPLY; WATER SUPPLY SYSTEMS; WIND TURBINES;

MANAGEMENT;

EID: 80051601436     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIASG.2011.5953338     Document Type: Conference Paper

References (17)

1. U.S. Department of Energy, The Smart Grid: An Introduction, Office of Electricity Delivery and Energy Reliability, 2010, Available: http://www.oe.energy.gov/1165.htm.
2. A. Hajizadeh and M. Aliakbar Golkar, "Intelligent power management strategy of hybrid distributed generation system", Electrical Power and Energy Systems, Vol. 29, pp. 783-795, 2007.
3. P. Lombardi , M. Powalko, and K. Rudion, "Optimal operation of a virtual power plant", IEEE Power & Energy Society General Meeting, PES '09, 2009.
4. D. Lu and B. Francois, "Strategic framework of an energy management of a microgrid with a photovoltaic-based active generator". ELECTROMOTION 2009 - EPE Chapter 'Electric Drives' Joint Symposium, 1-3 July 2009, Lille, France.
5. A. Gupta, R. Saini, and M. Sharma, "Steady-state modelling of hybrid energy system", Third International Conference on Electrical Engineering (ICEE), 2009.
6. D. Westermann and A. John, "Demand matching wind power generation with wide-area measurement and demand-side management", IEEE Transactions on Energy Conversion, Vol. 22, No 1, pp. 145-149, 2007.
7. V. Hamidi and F. Robinson, "Responsive demand in networks with high penetration of wind power", 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.
8. J. Lagorse and M. Somoes, "A multiagent fuzzy-logic- based energy managment of hybrid systems", IEEE Industry Applications Society Annual Meeting (IAS ), 2009.
9. T. Logenthiran and D. Srinivasan, "Short term generation scheduling of a microgrid", IEEE Region 10 Conference, TENCON 2009.
10. A. Tsikalakis and N. Haatziargyriou, "Centralized control for optimizing microgrids operation", IEEE Transactions on Energy Conversion, Vol. 23, No 1, pp. 241 - 248, 2008.
11. V. Zavala, E. Constantinescu, and M. Anitescu, "Economic Impacts of Advanced Weather Forecasting on Energy System Operations", Innovative Smart Grid Technologies (ISGT), 2010.
12. W. Skamarock, J. Klemo, J. Dudhia, D. Gill, D. Barker, M. Duda, X. Huang, W. Wang, and J. Powera, "A description of the Advanced Research WRF version 3", Tech Report 475+ STR, NCAR, 2008.
13. Z. Bashir and M. El-Hawary, "Applying Wavelets to Short-Term Load Forescasting Using PSO-Based Neural Networks", IEEE Transactions on Power Systems, Vol.24. No 1, pp.20-27, 2009.
14. V. Hinojosa and A. Hoese, "Short-Term Forecasting Using Fuzzy Inductive Reasoning an Evolutionary Algorithms", IEEE Transactions on Power Systems, Vol. 25, No 1, pp.565-574, 2010.
15. M. Norgaard, O. Ravn, N. Poulsen and L. Hansen, "Neural Networks for Modelling and Control of Dynamic Systems", Springer-Verlag, 2000.
16. H. Bergveld, Battery Management Systems Design by Modelling, University Press Facilities, Eindhoven, 2001.
17. CPLEX, http://www-01.ibm.com/software/integration/optimization/cplex- optimizer/