### Abstract

Consideration of the operating point stability of electric power systems in which several parameters are stochastic in nature. The method used employs state variable modeling of the power system (each generator-exciter system is represented by a 13th order model) and eigenvalue sensitivities are used to obtain the multivariate probability density of system pole locations. Thus, the probability of stability becomes available by integration of this probability density over appropriate limits. Several specific problem areas are also discussed with regard to the multivariate normal statistics of the uncertain parameters, linearization of the eigenvalue-system parameter relationship and accelerated solution methods. Suggestions in each of these areas are given.

Original language | English (US) |
---|---|

Title of host publication | Unknown Host Publication Title |

Place of Publication | New York, NY |

Publisher | IEEE |

Pages | 755-761 |

Number of pages | 7 |

Volume | 2 |

State | Published - 1977 |

Externally published | Yes |

Event | Proc of the Jt Autom Control Conf - San Francisco, CA, USA Duration: Jun 22 1977 → Jun 24 1977 |

### Other

Other | Proc of the Jt Autom Control Conf |
---|---|

City | San Francisco, CA, USA |

Period | 6/22/77 → 6/24/77 |

### Fingerprint

### ASJC Scopus subject areas

- Engineering(all)

### Cite this

*Unknown Host Publication Title*(Vol. 2, pp. 755-761). New York, NY: IEEE.

**STOCHASTIC ANALYSIS OF POWER SYSTEM DYNAMIC STABILITY.** / Heydt, G. T.; Burchett, R. C.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

*Unknown Host Publication Title.*vol. 2, IEEE, New York, NY, pp. 755-761, Proc of the Jt Autom Control Conf, San Francisco, CA, USA, 6/22/77.

}

TY - CHAP

T1 - STOCHASTIC ANALYSIS OF POWER SYSTEM DYNAMIC STABILITY.

AU - Heydt, G. T.

AU - Burchett, R. C.

PY - 1977

Y1 - 1977

N2 - Consideration of the operating point stability of electric power systems in which several parameters are stochastic in nature. The method used employs state variable modeling of the power system (each generator-exciter system is represented by a 13th order model) and eigenvalue sensitivities are used to obtain the multivariate probability density of system pole locations. Thus, the probability of stability becomes available by integration of this probability density over appropriate limits. Several specific problem areas are also discussed with regard to the multivariate normal statistics of the uncertain parameters, linearization of the eigenvalue-system parameter relationship and accelerated solution methods. Suggestions in each of these areas are given.

AB - Consideration of the operating point stability of electric power systems in which several parameters are stochastic in nature. The method used employs state variable modeling of the power system (each generator-exciter system is represented by a 13th order model) and eigenvalue sensitivities are used to obtain the multivariate probability density of system pole locations. Thus, the probability of stability becomes available by integration of this probability density over appropriate limits. Several specific problem areas are also discussed with regard to the multivariate normal statistics of the uncertain parameters, linearization of the eigenvalue-system parameter relationship and accelerated solution methods. Suggestions in each of these areas are given.

UR - http://www.scopus.com/inward/record.url?scp=0017570725&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0017570725&partnerID=8YFLogxK

M3 - Chapter

AN - SCOPUS:0017570725

VL - 2

SP - 755

EP - 761

BT - Unknown Host Publication Title

PB - IEEE

CY - New York, NY

ER -