A Decomposition-Technique-Based Algorithm for Nonlinear Large Scale Mesh-Interconnected System and Application

Shieh-Shing LIN; Huay CHANG

doi:10.1093/ietfec/e89-a.10.2847

A Decomposition-Technique-Based Algorithm for Nonlinear Large Scale Mesh-Interconnected System and Application

Shieh-Shing LIN, Huay CHANG

Full Text Views

0

Share
Cite this

Summary :

In this paper, we propose two techniques to solve the nonlinear constrained optimization problem in large scale mesh-interconnected system. The first one is a diagram-method-based decomposition technique which decomposes the large scale system into some small subsystems. The second technique is a projected-Jacobi-based parallel dual-type method which can solve the optimization problems in the decomposed subsystems efficiently. We have used the proposed algorithm to solve numerous examples of large scale constrained optimization problems in power system. The test results show that the proposed algorithm has computational efficiency with respect to the conventional approach of the centralized Newton method and the state-of-the-art Block-Parallel Newton method.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E89-A No.10 pp.2847-2856

Publication Date: 2006/10/01

Publicized

Online ISSN: 1745-1337

DOI: 10.1093/ietfec/e89-a.10.2847

Type of Manuscript: PAPER

Category: Systems and Control

Cite this

Copy

Shieh-Shing LIN, Huay CHANG, "A Decomposition-Technique-Based Algorithm for Nonlinear Large Scale Mesh-Interconnected System and Application" in IEICE TRANSACTIONS on Fundamentals, vol. E89-A, no. 10, pp. 2847-2856, October 2006, doi: 10.1093/ietfec/e89-a.10.2847.
Abstract: In this paper, we propose two techniques to solve the nonlinear constrained optimization problem in large scale mesh-interconnected system. The first one is a diagram-method-based decomposition technique which decomposes the large scale system into some small subsystems. The second technique is a projected-Jacobi-based parallel dual-type method which can solve the optimization problems in the decomposed subsystems efficiently. We have used the proposed algorithm to solve numerous examples of large scale constrained optimization problems in power system. The test results show that the proposed algorithm has computational efficiency with respect to the conventional approach of the centralized Newton method and the state-of-the-art Block-Parallel Newton method.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e89-a.10.2847/_p

Copy

@ARTICLE{e89-a_10_2847,
author={Shieh-Shing LIN, Huay CHANG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Decomposition-Technique-Based Algorithm for Nonlinear Large Scale Mesh-Interconnected System and Application},
year={2006},
volume={E89-A},
number={10},
pages={2847-2856},
abstract={In this paper, we propose two techniques to solve the nonlinear constrained optimization problem in large scale mesh-interconnected system. The first one is a diagram-method-based decomposition technique which decomposes the large scale system into some small subsystems. The second technique is a projected-Jacobi-based parallel dual-type method which can solve the optimization problems in the decomposed subsystems efficiently. We have used the proposed algorithm to solve numerous examples of large scale constrained optimization problems in power system. The test results show that the proposed algorithm has computational efficiency with respect to the conventional approach of the centralized Newton method and the state-of-the-art Block-Parallel Newton method.},
keywords={},
doi={10.1093/ietfec/e89-a.10.2847},
ISSN={1745-1337},
month={October},}

Copy

TY - JOUR
TI - A Decomposition-Technique-Based Algorithm for Nonlinear Large Scale Mesh-Interconnected System and Application
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2847
EP - 2856
AU - Shieh-Shing LIN
AU - Huay CHANG
PY - 2006
DO - 10.1093/ietfec/e89-a.10.2847
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E89-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2006
AB - In this paper, we propose two techniques to solve the nonlinear constrained optimization problem in large scale mesh-interconnected system. The first one is a diagram-method-based decomposition technique which decomposes the large scale system into some small subsystems. The second technique is a projected-Jacobi-based parallel dual-type method which can solve the optimization problems in the decomposed subsystems efficiently. We have used the proposed algorithm to solve numerous examples of large scale constrained optimization problems in power system. The test results show that the proposed algorithm has computational efficiency with respect to the conventional approach of the centralized Newton method and the state-of-the-art Block-Parallel Newton method.
ER -