2006IEEE Transactions on Power SystemsRequires access

A Jacobian-Free Newton-GMRES(m) Method with Adaptive Preconditioner and Its Application for Power Flow Calculations

Yanlai Chen, Chen Shen

Open publisher page 124 citations

Abstract

In this paper, an adaptive preconditioner is constructed for Jacobian-free Newton-GMRES(m) [JFNG(m)] methods, which is devised for solving coordination equations in distributed simulations of power systems. The preconditioner is updated during both Newton iterations and GMRES iterations by means of a rank-one update algorithm. The proposed preconditioned JFNG(m) is applied to power flow calculations for test. The results show that the adaptive preconditioner can enhance convergence of Newton-GMRES(m) iteration schemes greatly and has stronger robustness compared with other precondition methods. Moreover, the proposed method has strong parallelism and scalability, which makes it feasible to solve distributed simulation problems of power systems

About this research paper

What this paper is about

In this paper, an adaptive preconditioner is constructed for Jacobian-free Newton-GMRES(m) [JFNG(m)] methods, which is devised for solving coordination equations in distributed simulations of power systems. The preconditioner is updated during both Newton iterations and GMRES iterations by means of a rank-one update algorithm. The proposed preconditioned JFNG(m) is applied to power flow calculations for test. The results show that the adaptive preconditioner can enhance convergence of Newton-GMRES(m) iteration schemes greatly and has stronger robustness compared with other precondition methods. Moreover, the proposed method has strong parallelism and scalability, which makes it feasible to solve distributed simulation problems of power systems

Why it matters

OpenAlex reports 124 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In this paper, an adaptive preconditioner is constructed for Jacobian-free Newton-GMRES(m) [JFNG(m)] methods, which is devised for solving coordination equations in distributed simulations of power systems. The preconditioner is updated during both Newton iterations and GMRES iterations by means of a rank-one update algorithm. The proposed preconditioned JFNG(m) is applied to power flow calculations for test. The results show that the adaptive preconditioner can enhance convergence of Newton-GMRES(m) iteration schemes greatly and has stronger robustness compared with other precondition methods. Moreover, the proposed method has strong parallelism and scalability, which makes it feasible to solve distributed simulation problems of power systems

Key concepts: Preconditioner, Generalized minimal residual method, Jacobian matrix and determinant, Robustness (evolution), Newton's method, Iterative method, Computer science, Power iteration

Related papers

Back to paper searchBrowse research topicsOriginal source
A Jacobian-Free Newton-GMRES(m) Method with Adaptive Preconditioner and Its Application for Power Flow Calculations — Research Paper | ScholarLens