Computational algorithms for unstable and stable (load flow) equilibria of the power system

B. Zheng, Garng Morton Huang, J. Zaborszky

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

Fast parallel algorithms to compute unstable equilibria in the state space of a large electric power system are introduced and analyzed. The approach utilizes cluster separation. The algorithm proposed for finding stable equilibria is novel and is much faster in parallel implementation then the sparse Newton-Raphson technique. The algorithm proposed for finding unstable equilibria is not only novel but is the only available algorithm for computing unstable equilibria. Necessary and sufficient conditions for stability and instability checking have been developed. These conditions give some indications how the (N-1) unstable equilibria can be located through cluster structures. Simulation results are also given to show the convergence of the algorithms. Time-complexity analysis of parallel implementation is described and shows the potential of the algorithms.

Original languageEnglish
JournalProceedings of the IEEE Conference on Decision and Control
Publication statusPublished - 1 Dec 1988
Externally publishedYes

Fingerprint

Computational Algorithm
Power System
Unstable
Parallel Implementation
Electric Power System
Newton-Raphson
Complexity Analysis
Electric power systems
Parallel algorithms
Parallel Algorithms
Fast Algorithm
Time Complexity
State Space
Necessary Conditions
Computing
Sufficient Conditions
Simulation

ASJC Scopus subject areas

  • Chemical Health and Safety
  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality

Cite this

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title = "Computational algorithms for unstable and stable (load flow) equilibria of the power system",
abstract = "Fast parallel algorithms to compute unstable equilibria in the state space of a large electric power system are introduced and analyzed. The approach utilizes cluster separation. The algorithm proposed for finding stable equilibria is novel and is much faster in parallel implementation then the sparse Newton-Raphson technique. The algorithm proposed for finding unstable equilibria is not only novel but is the only available algorithm for computing unstable equilibria. Necessary and sufficient conditions for stability and instability checking have been developed. These conditions give some indications how the (N-1) unstable equilibria can be located through cluster structures. Simulation results are also given to show the convergence of the algorithms. Time-complexity analysis of parallel implementation is described and shows the potential of the algorithms.",
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year = "1988",
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journal = "Proceedings of the IEEE Conference on Decision and Control",
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T1 - Computational algorithms for unstable and stable (load flow) equilibria of the power system

AU - Zheng, B.

AU - Huang, Garng Morton

AU - Zaborszky, J.

PY - 1988/12/1

Y1 - 1988/12/1

N2 - Fast parallel algorithms to compute unstable equilibria in the state space of a large electric power system are introduced and analyzed. The approach utilizes cluster separation. The algorithm proposed for finding stable equilibria is novel and is much faster in parallel implementation then the sparse Newton-Raphson technique. The algorithm proposed for finding unstable equilibria is not only novel but is the only available algorithm for computing unstable equilibria. Necessary and sufficient conditions for stability and instability checking have been developed. These conditions give some indications how the (N-1) unstable equilibria can be located through cluster structures. Simulation results are also given to show the convergence of the algorithms. Time-complexity analysis of parallel implementation is described and shows the potential of the algorithms.

AB - Fast parallel algorithms to compute unstable equilibria in the state space of a large electric power system are introduced and analyzed. The approach utilizes cluster separation. The algorithm proposed for finding stable equilibria is novel and is much faster in parallel implementation then the sparse Newton-Raphson technique. The algorithm proposed for finding unstable equilibria is not only novel but is the only available algorithm for computing unstable equilibria. Necessary and sufficient conditions for stability and instability checking have been developed. These conditions give some indications how the (N-1) unstable equilibria can be located through cluster structures. Simulation results are also given to show the convergence of the algorithms. Time-complexity analysis of parallel implementation is described and shows the potential of the algorithms.

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M3 - Conference article

JO - Proceedings of the IEEE Conference on Decision and Control

JF - Proceedings of the IEEE Conference on Decision and Control

SN - 0191-2216

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