Abstract
Advanced metering infrastructure (AMI) is an integral part of the smart grid. It plays a significant role in control and management for utilities. Along with its pervasiveness, effective AMI network design has drawn more attention. To some extent, the reliability and robustness of the whole system is partially pre-determined by the whole smart distribution network design. Location arrangement for Access Points (APs) is an important aspect of the smart distribution grid structure which influences the system performance greatly because an optimized network by itself is effective to reduce cost and deal with emergencies or threats such as a breakdown hazard. This paper is dedicated to employ multi-objective optimization formulations to analyze and solve this network design problem in the smart distribution grid.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Farhangi, H.: The path of the smart grid. IEEE Power and Energy Magazine 8(1), 18–28 (2010)
Momoh, J.: Smart Grid: Fundamentals of Design and Analysis. John Wiley & Sons (2012)
Hart, D.G.: Using AMI to realize the Smart Grid. In: IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century (2008)
Oksa, P., et al.: Considerations of Using Power Line Communication in the AMR System. In: 2006 IEEE International Symposium on Power Line Communications and Its Applications (2006)
Chih-Hung, W., Shun-Chien, C., Yu-Wei, H.: Design of a wireless ARM-based automatic meter reading and control system. In: IEEE Power Engineering Society General Meeting (2004)
Brown, R.E.: Impact of Smart Grid on distribution system design. In: IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century (2008)
Bennett, C., Highfill, D.: Networking AMI Smart Meters. In: IEEE Energy 2030 Conference (2008)
McDaniel, P., McLaughlin, S.: Security and Privacy Challenges in the Smart Grid. IEEE Security & Privacy 7(3), 75–77 (2009)
Marler, R.T., Arora, J.S.: Survey of multi-objective optimization methods for engineering. Structural and Multidisciplinary Optimization 26(6), 369–395 (2004)
Saaty, T.L., Bram, J.: Nonlinear mathematics. Dover (1964)
Mayr, E.: Toward a new philosophy of biology: observations of an evolutionist. Belknap Press of Harvard University Press (1988)
Deb, K., et al.: A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation 6(2), 182–197 (2002)
Konak, A., Coit, D.W., Smith, A.E.: Multi-objective optimization using genetic algorithms: A tutorial. Reliability Engineering & System Safety 91(9), 992–1007 (2002)
Deb, K.: Multi-Objective Optimization using Evolutionary Algorithms, vol. 518. John Wiley & Sons, Inc. (2001)
Fonseca, C.M., Fleming, P.H.: Genetic Algorithms for multiobjective optimization: Formulation, Discussion and Generalization. In: The Fifth International Conference on Genetic Algorithms, San Mateo, CA (1993)
Srinivas, N., Deb, K.: Multiobjective function Optimization using nondominated sorting genetic algorithms. IEEE Transactions on Evolutionary Computation 2(3), 221–248 (1995)
Zitzler, E., Thiele, L.: Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study. In: Eiben, A.E., Bäck, T., Schoenauer, M., Schwefel, H.-P. (eds.) PPSN 1998. LNCS, vol. 1498, pp. 292–301. Springer, Heidelberg (1998)
Knuth, D.E.: Art of Computer Programming, 3rd edn. Seminumerical Algorithms. Addison-Wesley Professional (1997)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhang, B., Shafi, K., Abbass, H.A. (2012). A Density Based Approach to the Access Point Layout Smart Distribution Grid Design Optimization Problem. In: Bui, L.T., Ong, Y.S., Hoai, N.X., Ishibuchi, H., Suganthan, P.N. (eds) Simulated Evolution and Learning. SEAL 2012. Lecture Notes in Computer Science, vol 7673. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34859-4_8
Download citation
DOI: https://doi.org/10.1007/978-3-642-34859-4_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34858-7
Online ISBN: 978-3-642-34859-4
eBook Packages: Computer ScienceComputer Science (R0)