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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Viana da Fonseca Neto, J. Ferreira, E.F.M. Rego, P.H.M. |
| Copyright Year | 2013 |
| Description | Author affiliation: State Univ. of Maranhao (UEMA), Sao Luis, Brazil (Rego, P.H.M.) || Electr. Eng. Dept., Fed. Univ. of Maranhao (UFMA), Sao Luis, Brazil (Viana da Fonseca Neto, J.; Ferreira, E.F.M.) |
| Abstract | Our aim in this paper is to present a novel method for online optimal control system design via state heuristic dynamic programming (HDP) to approximate the solution of the Hamilton-Jacobi-Bellman (HJB) equation by means of the recursive least-square (RLS) approach. Because the randomness nature associated to primary energy sources, the control of eolic and solar energy systems demands methods and technics that are suitable with the high degree of the environment uncertainties. The reinforcement learning (RL) and approximate dynamic programming (ADP) approaches furnish the key ideas and the mathematical formulations to develop optimal control system methods and strategies for alternative energy systems. We are proposing a online design method to establish control strategies for the the main unit of a eolic system that is the doubly fed induction generator (DFIG). The performance of proposed method is evaluated via computational experiments for discrete time HDP algorithms that map eigenstructure assignments in the stable Z-plane. |
| Sponsorship | IEEE Syst., Man, Cybern. Soc. |
| Starting Page | 3174 |
| Ending Page | 3179 |
| File Size | 487429 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479906529 |
| DOI | 10.1109/SMC.2013.541 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-10-13 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Equations Mathematical model Optimal control Dynamic programming Heuristic algorithms Function approximation Doubly Fed Induction Generator Heuristic Dynamic Programming Multivariable Control Dynamic Programming Optimal Control Tuning Convergence Discrete Linear Quadratic Regulator Digital Control DFIG wind turbines FACTS Devices |
| Content Type | Text |
| Resource Type | Article |
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