nach oben

Erschienen in:

2017 | OriginalPaper | Buchkapitel

2. Literature Review

verfasst von : Prakash Ranganathan, Kendall E. Nygard

Erschienen in: Distributed Linear Programming Models in a Smart Grid

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

The goal of this chapter is to provide prior work done with linear-programming approaches for the resource-allocation problem. Operations-research (OR) modeling often concerns finding the best quantitative solution for management problems [HL01, Mom01]. The OR methods include mathematical-optimization modeling as simulation, and using OR methods has grown significantly since their origination during World War II. Templeman [Tem91] describes quantitative OR methods for designing and controlling industrial and economical operations. Many private and government organizations have improved their operations by successfully using mathematical programming [Wad83, Aro02, Chv83, Dan63, SS85]. This book focuses on a resource-allocation problem and applies linear programming for the solution approach.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Introduction

Nächstes Kapitel Energy Reallocation in a Smart Grid

[Aro02]

Arora, S. (2006). Proving integrality gaps without knowing the linear program. Proceedings of the 43rd Symposium on Foundations of Computer Science (pp. 313–322).

[BBG77]

Bradley, G., Brown, G., and Graves, G (1977). Design and implementation of large scale primal transshipment algorithms. Management Science, 1–34.

[BCP08]

Bignucoloa, F., Caldona, R., & Prandonib, V. (2008). Radial MV networks voltage regulation with distribution management system coordinated controller. Electric Power Systems Research, 78(4), 634–664.CrossRef

[Bou01]

Boutilier, C. (2001). Planning and programming with first-order Markov decision processes: Insights and challenges. City, MA: Morgan Kaufmann.

[Bou02]

Boutilier, C. (2002). A POMDP formulation of preference elicitation problems. Proceedings of the Eighteenth National Conference on Artificial Intelligence, City, CA (pp. 239–246).

[Chv83]

Chvatal, V. (1983). Linear programming. New York, NY: Freeman.MATH

[Dan63]

Dantzig, G. B. (1963). Linear programming and extensions. Princeton, NJ: Princeton University Press.CrossRefMATH

[Dan83]

Dantzig, G. B. (1983). Reminiscences about the origins of linear programming, mathematical programming: The state of the art springer lecture notes (pp. 78–86). Berlin, Germany: Springer.

[DCN04]

Dobson, I., Carreras, B., & Newman, D. E. (2004). Probabilistic load-dependent cascading failure with limited component interactions. IEEE International Symposium on Circuits and Systems, City, Canada (pp. 15–32).

[DNS95]

Dwyer, A., Nielsen, R., Stangl, J., & Markushevich, N. (1995). Load to voltage dependency tests at B.C. hydro, IEEE Transactions on Power Systems, 10(2), 709–715.

[FES12]

Farag, E., El-Saadany, F., & Seethapathy, R. (2012). A two ways communication-based distributed control for voltage regulation in smart distribution feeders. IEEE Transaction on Smart Grid, 766–772.

[GPR09]

Greitzer, F., Podmor, R., Robinson, M., & Ey, P. (2009). Naturalistic decision making for power system operators. In International Conference on Naturalistic Decision Making (NDM). London, England.

[GPS00]

Gueret, C., Prins, C., & Sevaux, M. (2000). Programmation lineaire. Paris: Editions Eyrolles.

[HL01]

Hillier, F., & Lieberman, G. (2001). Introduction to operations research. City, England: McGraw-Hill.MATH

[KHS05]

Khattam, W., Hegazy, Y., & Salama, Y. (2005). An integrated distributed generation optimization model for distribution system planning. IEEE Transactions on Power Systems, 20(2), 1158–1165.

[Mom01]

Momoh, J. (2001). Electric power system Applications of optimization. City, NY: Marcel Dekker.

[Moo91]

Moore, R. (1991). Global optimization to prescribed accuracy. Computers and Mathematics with Applications, 21(6), 25–39.MathSciNetCrossRefMATH

[NF12]

Nguyen, C., & Flueck, A. (2012). Agent based restoration with distributed energy storage support in smart grids. IEEE Transactions on Smart Grid, 3(2), 1029–1038.

[PFR09]

Pipattanasomporn, M., Feroze, H., & Rahman, S. Multi-agent systems in a distributed smart grid: Design and implementation. Proceedings of IEEE PES 2009 Power Systems Conference and Exposition, Seattle, Washington, USA, March 2009 (pp. 1–6).

[RN12]

Ranganathan, P., & Nygard, K. A smart agent oriented linear programming control in electric grid. Annual Electric Power and Energy Conference, Canada, October 2012 (pp. 102–106).

[PSN88]

Powell, W., Sheffi, Y., Nickerson, S., Butterbaugh, K., & Atherton, S. (1988). Maximizing profits for North American Van Lines truckload division: A new framework for pricing and operations. Interfaces, 18(1), 21–41.CrossRef

[Pow98]

PowerGen plc. (1998). Private communication.

[RN10]

Ranganathan, P., & Nygard, K. (2010). An optimal resource assignment problem in Smart grid. The Second International Conference on Future Computational Technologies and Applications, Portugal, November 26 (pp. 75–82).

[Sal04]

Salam, S. (2004). Comparison of Lagrangian relaxation and truncated dynamic programming methods for solving hydrothermal coordination problems. Proceedings of International Conference on Intelligent Sensing and Information Processing (pp. 265–270).

[Son99]

Song, Y. (1999). Modern optimization techniques in power systems. City, ST: Kluwer Academic Publishers.CrossRefMATH

[SS85]

Sullivan, R., & Secrest, C. (1985). A simple optimization DSS for production planning at Dairymans Cooperative Creamery Association. Interfaces, 15(5), 46–53.CrossRef

[Tem91]

Templeman, B. (1991). Optimization and decision support systems in civil engineering. City, ST: Routledge, Gordon and Breach Science Publishers Ltd.

[Wad83]

Waddell, R. (1983). A model for equipment replacement decision and policies. Interfaces, 13(4), 1–7.CrossRef

[Wan01]

Wang, H. (2001). Multi-agent co-ordination for the secondary voltage control in power system contingencies. Proceedings of IEEE Generation, Transmission and Distribution, 148(1), 61–66.CrossRef

[Wil93]

Williams, P. (1993). Model building in mathematical programming (3rd revised edition). Chichester, England: Wiley.

[Wri97]

Wright, S. (1997). Primal-dual interior point methods. SIAM, 145–157.

Titel: Literature Review
verfasst von: Prakash Ranganathan
Kendall E. Nygard
Verlag: Springer International Publishing
Buch: Distributed Linear Programming Models in a Smart Grid
Print ISBN: 978-3-319-52616-4

Electronic ISBN: 978-3-319-52617-1

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-52617-1_2