This paper discusses the different strategies which enable wind power market to enhance reliability to integrate competitive power grids economically. Wind mills are newly globalized techniques to the Restructured Power Systems that are difficult to schedule due to variability and un-predictability. Now a day’s Wind energy is termed as Price Taker due to the issues like Transmission Congestions. Although Locational Marginal Pricing (LMP) plays an important role in many restructured wholesale power markets, the detailed derivation of LMPs as actually used in industry practice is not presently available. This paper demonstrates these problems by two sections. Firstly, the overview, definitions, characteristics, settlements, observations and examples for the Locational Marginal Prices or LMPs for particular generators that are developed on the basis of congested and uncongested case. Secondly, calculation for AC and DC optimal power flow models. Wind energy generation system for Restructured Power Systems is simulated using MATLAB

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Optimization of integrated wind power grids based on locational marginal prices using restructured power system

Dhayalini K*, Deepu M.S**, Sathiyamoorthy S***
* Professor, EEE, J.J. College of Engg&Tech, Trichy, India.
** P.G Scholar, PSE, J.J. College of Engg&Tech, Trichy, India.
*** Principal, J.J. College of Engg&Tech, Trichy, India.
Periodicity:February - April'2013
DOI : https://doi.org/10.26634/jps.1.1.2204

Abstract

This paper discusses the different strategies which enable wind power market to enhance reliability to integrate competitive power grids economically. Wind mills are newly globalized techniques to the Restructured Power Systems that are difficult to schedule due to variability and un-predictability. Now a day’s Wind energy is termed as Price Taker due to the issues like Transmission Congestions. Although Locational Marginal Pricing (LMP) plays an important role in many restructured wholesale power markets, the detailed derivation of LMPs as actually used in industry practice is not presently available. This paper demonstrates these problems by two sections. Firstly, the overview, definitions, characteristics, settlements, observations and examples for the Locational Marginal Prices or LMPs for particular generators that are developed on the basis of congested and uncongested case. Secondly, calculation for AC and DC optimal power flow models. Wind energy generation system for Restructured Power Systems is simulated using MATLAB

Keywords

Locational Marginal Prices (Lmps), Wind Power Market, Restructured Power Systems, Electrical Power Grids.

How to Cite this Article?

Dhayalini, K., Deepu, M.S., and Sathiyamoorthy, S. (2013). Optimization Of Integrated Wind Power Grids Based On Locational Marginal Prices Using Restructured Power System. i-manager’s Journal on Power Systems Engineering, 1(1), 9-17. https://doi.org/10.26634/jps.1.1.2204

References

[1]. “Wind energy basics”, January (2011). New Zealand wind energy association: available on windenergy.org.nz.
[2]. Juan M. Morales, Antonio J. Conejo, Juan Pérez-Ruiz, (2011). “Simulating the Impact of Wind Production on Locational Marginal Prices”, IEEE, Vol. 26, No. 2, May.
[3]. “Using Economics to Determine the Efficient Curtailment of Wind Energy” Erik Ela Technical Report NREL/TP-550-45071 available on www.nrel.gov.
[4]. Bernard C. Lesieutre, and Joseph, H. (2003). “Electricity Transmission Congestion Costs”, A Review of Recent Reports, University of California. Environmental Energy Technologies Division October 2003 available on www.oe.energy.gov.
[5]. “Valuing the Wind: Renewable Energy Policies and Air Pollution Avoided”, Kevin Novan_Department of Economics University of California - San Diego November 22/2011, www2.econ.iastate.edu.
[6]. “Fundamentals of Wind Energy”, Alaska Wind Energy Applications, E.Ian Baring-Gould National Renewable energy laboratory available on www.akenergyauthority.org.
[7]. New England Electricity Market, ISO New England. [Online]. Available: http://www.iso-ne.com.
[8]. Alomoush, M.I. (2005). “Contingency-constrained congestion management with a minimum number of adjustments in preferred schedules", International Journal of Electrical Power and Energy Systems, 2005.
[9]. Andrew Ott. (2008). “An overview of PJM energy market design and development", Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies, 04/2008.
[ 1 0 ] K . L . Lo. ( 2 0 0 6 ) . Transmission Congestion Management Assessment in Deregulated Electricity Market, 4th Student Conference on Research and Development, 06/2006.
[11]. S.M. Shahidehpour (1999). “Electricity Supply Industry", Wiley Encyclopedia of Electrical and Electronics Engineering, 12/27/1999.
[12]. M. Shahidehpour (2000). "Introduction to Maintenance Scheduling in Restructured Power Systems.
[13]. M. Shahidehpour (2003). "Special Topics in Power System Information System", Communication and Control in Electric Power Systems, 06/05/2003.
[14]. Junjie Sun (2007). "Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework", Computational Economics, 09/20/2007.
[15]. Lesieutre, B.C. (2005). "When a Rose Is Not a Rose: A Review of Recent Estimates of Congestion Costs", The Electricity Journal, 2004-05.
[16]. Morales, J.M., A.J. Conejo, and J. Perez-Ruiz (2010). "Short-Term Trading for a Wind Power Producer", IEEE Transactions on Power Systems, 2010 Available at www.ieee.org.
[17]. Wu-Yi Hsiang, (2006). "On the Volume Formulas of Cones and Orthogonal Multi-cones in Sn(1) and Hn(—1)", Chinese Annals of Mathematics Series B, 01/2006.
[18]. Ramteen Sioshansi, (2009). “Evaluating the Impacts of Real-Time Pricing on the Usage of Wind Generation", IEEE Transactions on Power Systems, 05/2009.
[19]. “Integration of Renewable Resources” – California ISO. November 2007, www2.caiso.com.
[20]. “Taxes and Incentives for Renewable Energy”, June 2011, www.meijburg.nl.
[21]. Katie Coughlin and Joseph H. Eto (2009). “Analysis of Wind Power and Load Data at Multiple Time Scales”, December 2010, certs.lbl.gov Global Assessment of High- Altitude Wind Power Energies 2009, 2, 307-319; www.mdpi.com/journal/energies.
[22]. “Electrical Energy generation utilization and conservation” Unit: 2, www.niceindia.com.
[23]. Grey, Brian A. Hitson and Lorrie A. Johnson, Bringing Light to Office of Scientific and Technical Information U.S. Department of Energy, worldwidescience.org.
[24]. P. Pinson, H. Madsen, H.A. Nielsen, G. Papaefthymiou, and B. Klöckl, (2009). “From probabilistic forecasts to statistical scenarios of short-term wind Power production,” Wind Energy, Vol. 12, No. 1, pp. 51–62, 2009.
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