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.
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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)
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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
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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
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