Abstract
In this paper, we present a neural network based optimization method for solving a kind of quadratic programming problems (QPPs) with equality and inequality constraints. The proposed method is appropriate for distributed implementation and can be used as a basic optimization module for managing optimization problems of large distributed systems. We test the proposed method in a real PC-Network for power system state estimation problem. Several cases are considered and obtain some successfully results.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Dunn, W., Rossi, M., Avaramovic, B.: Impact of market restructuring on power systems operation. IEEE Computer Application in Power Engineering 8(1), 42–47 (1995)
Miller, D., Davison, E.: Adaptive control of a family of plants. In: Control of Uncertain Systems, pp. 197–219. Birkhäuser, Basel (1990)
Aghdam, A., Davison, E.: Decentralized switch in control. In: IFAC LSS, vol. 2, pp. 1–7 (1998)
Luenberger, D.G.: Linear and nonlinear programming, 2nd edn. Addison-Wesley, Reading (1984)
Lin, C.H., Lin, S.Y.: A new dual type method used in solving optimal power flow problems. IEEE Transactions on Power Systems 12, 1667–1675 (1997)
Lin, S.Y., Lin, C.H.: A computational efficient method for nonlinear multicommodity network flow problems. Networks 29, 225–244 (1997)
Lin, S.Y., Lin, S.S.: A parallel block scaled gradient method with decentralized step-size for block additive unconstrained optimization problems of large distributed systems. Asian Journal of Control 5(1), 104–115 (2003)
Debs, A.: Modern Power systems control and operation. Kluwer Academic Publishers, Boston (1989)
Lin, S.S.: A Parallel dual-type methods for solving CWLS problem. Electric Power Systems and Research 66, 227–232 (2003)
Durazzi, C., Ruggiero, V.: Numerical Solution of special linear and quadratic programs via a parallel interior-point method. Parallel Computing 29, 485–503 (2003)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer Berlin Heidelberg
About this paper
Cite this paper
Lin, S. (2007). A Neural Network Based Optimization Method for a Kind of QPPs and Application. In: Liu, D., Fei, S., Hou, Z., Zhang, H., Sun, C. (eds) Advances in Neural Networks – ISNN 2007. ISNN 2007. Lecture Notes in Computer Science, vol 4493. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72395-0_30
Download citation
DOI: https://doi.org/10.1007/978-3-540-72395-0_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72394-3
Online ISBN: 978-3-540-72395-0
eBook Packages: Computer ScienceComputer Science (R0)