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Optimal Design of Hydropower Generation and Supervision

Sankar S*, G. Gokula Krishnan **

*, ** Senior Lecturer, Department of EEE, Panimalar Institute of Technology, Tamil Nadu, India.

Periodicity:July - September'2010
DOI : https://doi.org/10.26634/jee.4.1.1250

Abstract

The purpose of this study is to develop a general algorithm to solve the short-term hydroelectric scheduling problem in a robust, flexible and fast way, and which retains the same performances for either a small or a large-scale problem. The solution is based on the discrete maximum principle. Gradient method is used to solve the two-point boundary value problem. To deal with difficulties posed by the state variable constraints we use the augmented Lagrangian method. This paper is particularly concerned with the handling of bonds on the state variables utilizing augmented Lagrangian method.

Keywords

Short-term Scheduling, Potential Energy Discrete Maximum Principle, Augmented Lagrangian Method, Nomenclature

How to Cite this Article?

S. Sankar and G. Gokula Krishnan (2010). Optimal Design Of Hydropower Generation And Supervision. i-manager’s Journal on Electrical Engineering, 4(1), 21-26. https://doi.org/10.26634/jee.4.1.1250

References

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