Cost analysis of a power system using probabilistic optimal power flow with energy storage integration and wind generation

International Journal of Electrical Power and Energy Systems

Volumn 53, Issue , 2013, Pages 832-841

  Arabali, Amirsaman ^a   Ghofrani, Mahmoud ^a   Etezadi Amoli, Mehdi ^a  

^a Reno   (United States)

Author keywords

Co location; Cost benefit analysis; Distributed storage; Energy storage system; Optimal power flow; Particle swarm optimization

Indexed keywords

COLOCATIONS; DISTRIBUTED STORAGE; ENERGY STORAGE SYSTEMS; OPTIMAL POWER FLOWS; PROBABILISTIC OPTIMAL POWER FLOW (P-OPF); PROBABILISTIC OPTIMAL POWER FLOWS; PROBABILITY DENSITY FUNCTIONS (PDFS); TRANSMISSION CONGESTION RELIEFS;

COST ACCOUNTING; COST BENEFIT ANALYSIS; ENERGY STORAGE; PARTICLE SWARM OPTIMIZATION (PSO); PROBABILITY DENSITY FUNCTION; TRAFFIC CONGESTION;

INTEGRATION;

EID: 84879810459     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2013.05.053     Document Type: Article

References (29)

1. Gyuk IP, Eckroad S. Energy storage for grid connected wind generation applications. US Department of Energy, Washington, DC, EPRI-DOE Handbook Supplement; 2004.
2. Parsons B, Milligan M, Smith JC, DeMeo E, Oakleaf B, Wolf K, et al. Grid impacts of wind power variability: recent assessments from a variety of utilities in the United States. In: European wind energy conference. Athens, Greece; 2006.
3. Shiu H, Milligan M, Kirby B, Jackson K. California Renewables portfolio standard, renewable generation cost analysis: multi-year analysis results and recommendations. In: California wind energy collaborative for the California Energy Commission. Sacramento, CA; 2006.
4. Milligan M, Shiu H, Kirby B, Jackson K. A multi-year analysis of renewable energy impacts in California: results from the renewable portfolio standards integration cost analysis. In: WINDPOWER conference and exhibition. Pittsburgh, Pennsylvania; 2006.
5. Bouillon H, Fosel P, Neubarth J, Winter W. Wind report 2004. E. ON Netz. Bayreuth, Germany; 2004.
6. R. Gross, P. Heptonstall, D. Anderson, T. Green, M. Leach, and J. Skea The costs and impacts of intermittency: an assessment of the evidence on the costs and impacts of intermittent generation on the British electricity network 2006 UK Energy Research Center (UKERC)
7. P. Poonpun, and W. Jewell Analysis of the cost per kilowatt hour to store electricity IEEE Trans Energy Convers 23 2 2008 529 534 (Pubitemid 351728793)
8. S.Y. Wang, and J.L. Yu Optimal sizing of the CAES system in a power system with high wind penetration Int J Electr Power Energy Syst 37 2012 117 125
9. R. Loisel Power system flexibility with electricity storage technologies: a technical-economic assessment of a large-scale storage facility Int J Electr Power Energy Syst 42 2012 542 552
10. Y. Gu, J. McCalley, M. Ni, and R. Bo Economic modeling of compressed air energy storage Energies 6 4 2013 2221 2241
11. M. Kapsali, J.S. Anagnostopoulos, and J.K. Kaldellis Wind powered pumped-hydro storage systems for remote islands: a complete sensitivity analysis based on economic perspectives Appl Energy 99 2012 430 444
12. H. Daneshi, and A.K. Srivastava Security-constrained unit commitment with wind generation and compressed air energy storage IET Gener Transm Distrib 6 2012 167 175
13. J. Eyer, and G. Corey Energy storage for the electricity grid: benefits and market potential assessment guide 2010 Sandia National Laboratories [SAND2010-0815]
14. H. Moghimi, A. Ahmadi, J. Aghaei, and A. Rabiee Stochastic techno-economic operation of power systems in the presence of distributed energy resources Int J Electr Power Energy Syst 45 2013 477 488
15. W.C. Briceno Vicente, R. Caire, and N. Hadjsaid Probabilistic load flow for voltage assessment in radial systems with wind power Int J Electr Power Energy Syst 41 2012 27 33
16. Gao Y, Adequacy assessment of composite generation and transmission systems incorporating wind energy conversion systems. A Ph.D. thesis submitted to the Department of Electrical Engineering, University of Saskatchewan; 2010.
17. T. Das, and J.D. McCalley Compressed air energy storage 2012 Iowa State University Ames, Iowa
18. S.M. Schoenung, and W.V. Hassenzahl Long vs short-term energy storage technologies analysis: a life-cycle cost study 2003 Sandia National Laboratories [SAND2003-2783, August]
19. Kintner-Meyer M, Elizondo M, Tuffner F. Energy storage for power systems applications: A regional assessment for the Northwest Power Pool (NWPP). A report prepared for the US. DOE, April 2010.
20. G.B. Shrestha, and P.A.J. Fonseka Congestion-driven transmission expansion in competitive power markets IEEE Trans Power Syst 19 3 2004 1658 1665
21. T. Wu, Z. Alaywan, and A.D. Papalexopoulos Locational marginal price calculations using the distribute-slack power-flow formulation IEEE Trans Power Syst 20 2 2005 1188 1190 (Pubitemid 40699758)
22. Liu X, Zhong J. Point estimate method for probabilistic optimal power flow with wind generation. In: International conference on electrical engineering (ICEE). Algeria; 2009.
23. C. Su, and C. Lu Two-point estimate method for quantifying transfer capability uncertainty IEEE Trans Power Syst 20 2 2005 573 579 (Pubitemid 40699682)
24. G. Verbic, and C.A. Canizares Probabilistic optimal power flow in electricity markets based on two-point estimate method IEEE Trans Power Syst 21 4 2006 1883 1893 (Pubitemid 46357790)
25. Hu F, Yan Z, MI Y, Chen S. Unit commitment based on modified unit decommitment method. In: IEEE PES general meeting; 2004.
26. M.A. Hassan, and M.A. Abido Optimal design of microgrids in autonomous and grid-connected modes using particle swarm optimization IEEE Trans Power Electr 26 3 2011 755 769
27. A report prepared by the reliability test system task force of the application of probability methods subcommittee. IEEE reliability test system. IEEE Trans Power Apparat Syst 1979;PAS-98(6);2047-54.
28. http://transmission.bpa.gov/business/operations/wind/.
29. http://www.usbr.gov/pn/agrimet/webaghrread.html.