Load Leveling with Electrical Storage Systems: a Two-Step Optimization Procedure


(*) Corresponding author


Authors' affiliations


DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)

Abstract


In this paper an optimal storage-system control strategy is proposed aimed at leveling the active power requested by the loads connected to a distribution substation. The control strategy is based on a two-step procedure: first, a day-ahead scheduling is effected, and then a very short time predictive control is performed. For both the procedures, optimization models were formulated and solved including technical constraints that guarantee adequate storage-system lifetime (e.g., depth of discharge and maximum number of charge/discharge cycles). A numerical application demonstrates the effectiveness and advantages of the proposed procedure
Copyright © 2013 Praise Worthy Prize - All rights reserved.

Keywords


Energy Storage Systems; Power System; Optimal Strategies and Load Leveling

Full Text:

PDF


References


A. Schroeder, Modeling storage and demand management in power distribution grids, Applied Energy, vol. 88, December, 2011, pp. 4700–4712.

P.F. Ribeiro, B.K. Johnson, M.L. Crow, A. Arsoy, Y. Liu, Energy storage systems for advanced power applications, Proceedings of the IEEE, vol. 89, n. 12, December, 2001, pp. 1744-1756.

K.C. Divya, J. Østergaard, Battery energy storage technology for power systems: An overview, Electric Power System Research, vol. 79, n. 4, April, 2009, pp. 511-520.

A. Andreotti, G. Carpinelli, F. Mottola, D. Proto, A Review of Single-objective Optimization Models for Plug-in Vehicles Operation in Smart Grids - Part I: Theoretical Aspects, IEEE Power & Energy Society General Meeting, July, 2012, San Diego, California.

A. Andreotti, G. Carpinelli, F. Mottola, D. Proto, A Review of Single-objective Optimization Models for Plug-in Vehicles Operation in Smart Grids - Part II: Numerical applications to vehicles fleets, IEEE Power & Energy Society General Meeting, July, 2012, San Diego, California.

A. Oudalov, D. Chartouni, C. Ohler, G. Linhofer, Value Analysis of Battery Energy Storage Applications in Power Systems, IEEE Power Systems Conference and Exposition, October-November, 2006, Atlanta, Georgia.

S. Yoda, K. Ishihara, The advent of battery-based societies and the global environment in the 21st century, Journal of Power Sources, vol. 81-82, September, 1999, pp. 162-169.

G. Carpinelli, G. Celli, S. Mocci, F. Mottola, F. Pilo, D. Proto, Optimal integration of distributed energy storage devices in smart grids, IEEE Trans. on Smart Grids, in press

(DOI: 10.1109/TSG.2012.2231100).

K.S. Tam, A comparison of alternatives to enhance the utilization of transmission lines, Electric Power Systems Research, Vol. 41, n. 2, May, 1997, pp. 133-140.

R.C. Leou, An economic analysis model for the energy storage system applied to a distribution substation, Electrical Power and Energy Systems, vol. 34, n. 1, January, 2012, pp. 132-137.

A. Even, J. Neyens, A. Demouselle, Peak shaving with batteries, 12th International Conference on Electricity Distribution ~CIRED 1993~, May, 1993, Birmingham, England.

S. Ashok, R. Banerjee, Load-management applications for the industrial sector, Applied Energy, vol. 66, n. 2, June, 2000, pp. 105-111.

A. Brooks, E. Lu, D. Reicher, C. Spirakis, B. Weihl, Demand Dispatch, IEEE Power & Energy Magazine, vol. 8, n.3, May-June, 2010, pp. 20-29.

Bracale, A., Caramia, P., Carpinelli, G., Meo, S., A low voltage Smart Grid control strategy with Power Quality issues, (2011) International Review of Electrical Engineering (IREE), 6 (6), pp. 2704-2712.

G. Carpinelli, F. Mottola, D. Proto, Multi-Objective Approach for Plug-in Vehicle Aggregators Optimal Operation in a Smart Grid, International Symposium on Power Electronics, Electrical Drives, Automation and Motion ~SPEEDAM 2012~, June, 2012, Sorrento, Italy.

Kyung-Hee Jung, Hoyong Kim, Daeseok Rho, Determination of the installation site and optimal capacity of the battery energy storage system for load leveling, IEEE Trans. on Energy Conversion, vol. 11, n. 1, March, 1996, pp. 162-167.

C.H. Lo, M.D. Anderson, Economic dispatch and optimal sizing of battery energy storage systems in utility load-leveling operations, IEEE Trans. on Energy Conversion, vol. 14, n. 3, September, 1999, pp. 824-829.

F.A. Chacra, P. Bastard, G. Fleury, R. Clavreul, Impact of energy storage costs on economical performance in a distribution substation, IEEE Trans. on Power Systems, vol. 20 n. 2, May, 2005, pp. 684- 691.

I. Papic, Simulation model for discharging a lead-acid battery energy storage system for load leveling, IEEE Trans. on Energy Conversion, vol.21, n. 2, June, 2006, pp. 608- 615.

Y. Xu, L. Xie, C. Singh, Optimal scheduling and operation of load aggregator with electric energy storage in power markets, North American Power Symposium ~NAPS 2010~, September 2010, Urbana, Illinois.

X. Dong, G. Bao, Z. Lu, Z. Yuan, C. Lu, Optimal battery energy system charge scheduling for peak shaving application considering battery lifetime (Springer-Verlag, 2011, pp. 211-218).

S.S. Choi, H.S. Lim, Factors that affect cycle-life and possible degradation mechanisms of a Li-ion cell based on LiCoO2, Journal of Power Sources, vol. 111, n. 1, September, 2002, pp. 130-136.

W. Waag, S. Käbitz, D.U. Sauer, Experimental investigation of the lithium-ion battery impedance characteristic at various conditions and aging states and its influence on the application, Applied Energy, vol.102, February, 2013, pp. 885–897.

H.A. Maleki, N.B. Karayiannis, M. Balasubramanian, Short-Term electric power load forecasting using fed forward neural networks, Expert Systems, vol. 21, n. 3, July, 2004, pp. 157–167.

M. Cococcioni, E.D. Andrea, B. Lazzerini, 24-hour–ahead forecasting of energy production in solar PV systems, International Conference Intelligent Systems Design and Applications ~ISDA 2011~, November, 2011, Córdoba, Spain.

E. Hirst, Real-time balancing operations and markets: key to competitive wholesale electricity markets, April, 2001,

(http://www.ksg.harvard.edu/hepg/Papers/Hirst%204-01.rtmreport.pdf)

T. Logenthiran, D. Srinivasan, A.M. Khambadkone, H.N. Aung, Multiagent system for Real-Time Operation of a Microgrid in Real-Time Digital Simulator, IEEE Trans. on Smart Grid, vol. 3 n. 2, June, 2012, pp. 925 – 933.

P. Havel, Utilization of real-time belancing market for transmission system control under uncertainty, IEEE Trans. on Power Systems, in press (DOI: 10.1109/TPWRS.2012.2228676).

G. Carpinelli, S. Khormali, F. Mottola, D. Proto, Optimal Operation of Electrical Energy Storage Systems for Industrial Applications, IEEE PES General Meeting, July, 2013, Vancouver, Canada.

K.H. Ahlert, C. Van Dinther, Sensitivity analysis of the economic benefits from electricity storage at the end consumer level, IEEE PowerTech, June - July, 2009, Bucharest, Romania.


Refbacks

  • There are currently no refbacks.


Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize