A MPBSG Technique Based Parallel Dual-Type Method Used for Solving Distributed Optimal Power Flow Problems

Huay CHANG; Shieh-Shing LIN

doi:10.1093/ietfec/e89-a.1.260

A MPBSG Technique Based Parallel Dual-Type Method Used for Solving Distributed Optimal Power Flow Problems

Huay CHANG, Shieh-Shing LIN

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In this paper, we propose a method to solve the distributed optimal power flow problem and discuss the associated implementation. We have combined this method with a projected Jacobi (PJ) method and a modified parallel block scaled gradient (MPBSG) method possessing decomposition effects. With the decomposition, our method can be parallel processed and is computationally efficient. We have tested our method for distributed OPF problems on numerous power systems. As seen from the simulation results, our method achieved a dramatic speed-up ratio compared with the commercial IMSL subroutines.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E89-A No.1 pp.260-269

Publication Date: 2006/01/01

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Online ISSN: 1745-1337

DOI: 10.1093/ietfec/e89-a.1.260

Type of Manuscript: PAPER

Category: Systems and Control

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Huay CHANG, Shieh-Shing LIN, "A MPBSG Technique Based Parallel Dual-Type Method Used for Solving Distributed Optimal Power Flow Problems" in IEICE TRANSACTIONS on Fundamentals, vol. E89-A, no. 1, pp. 260-269, January 2006, doi: 10.1093/ietfec/e89-a.1.260.
Abstract: In this paper, we propose a method to solve the distributed optimal power flow problem and discuss the associated implementation. We have combined this method with a projected Jacobi (PJ) method and a modified parallel block scaled gradient (MPBSG) method possessing decomposition effects. With the decomposition, our method can be parallel processed and is computationally efficient. We have tested our method for distributed OPF problems on numerous power systems. As seen from the simulation results, our method achieved a dramatic speed-up ratio compared with the commercial IMSL subroutines.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e89-a.1.260/_p

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@ARTICLE{e89-a_1_260,
author={Huay CHANG, Shieh-Shing LIN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A MPBSG Technique Based Parallel Dual-Type Method Used for Solving Distributed Optimal Power Flow Problems},
year={2006},
volume={E89-A},
number={1},
pages={260-269},
abstract={In this paper, we propose a method to solve the distributed optimal power flow problem and discuss the associated implementation. We have combined this method with a projected Jacobi (PJ) method and a modified parallel block scaled gradient (MPBSG) method possessing decomposition effects. With the decomposition, our method can be parallel processed and is computationally efficient. We have tested our method for distributed OPF problems on numerous power systems. As seen from the simulation results, our method achieved a dramatic speed-up ratio compared with the commercial IMSL subroutines.},
keywords={},
doi={10.1093/ietfec/e89-a.1.260},
ISSN={1745-1337},
month={January},}

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TY - JOUR
TI - A MPBSG Technique Based Parallel Dual-Type Method Used for Solving Distributed Optimal Power Flow Problems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 260
EP - 269
AU - Huay CHANG
AU - Shieh-Shing LIN
PY - 2006
DO - 10.1093/ietfec/e89-a.1.260
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E89-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 2006
AB - In this paper, we propose a method to solve the distributed optimal power flow problem and discuss the associated implementation. We have combined this method with a projected Jacobi (PJ) method and a modified parallel block scaled gradient (MPBSG) method possessing decomposition effects. With the decomposition, our method can be parallel processed and is computationally efficient. We have tested our method for distributed OPF problems on numerous power systems. As seen from the simulation results, our method achieved a dramatic speed-up ratio compared with the commercial IMSL subroutines.
ER -