Premium
On‐line preventive control for power system transient stability based on the energy function method
Author(s) -
Kita Hirokuyi,
Nishiya KenIchi,
Hasegawa Jun
Publication year - 1991
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/eej.4391110704
Subject(s) - transient (computer programming) , contingency , electric power system , security controls , fault (geology) , control theory (sociology) , computer science , stability (learning theory) , function (biology) , reliability engineering , control (management) , engineering , power (physics) , control engineering , physics , quantum mechanics , artificial intelligence , machine learning , evolutionary biology , biology , operating system , philosophy , linguistics , seismology , geology
For the purpose of maintaining the power system security, an integrated security monitoring and control (ISMAC) system, is being developed in which both preventive and emergency control have important roles. Static security control strategies which deal with the steady state after the contingency is cleared, have been studied by various researchers including the authors. However, the basic research on dynamic security control which deals with the transient state immediately after the contingency has occurred is seldom found. This paper presents a method of dynamic preventive control for the transient stability considering plural contingencies and coordinating in a flexible way the requirements of both security and economy. In the preventive control for transient stability, it is necessary to judge the transient behaviors properly and also to evaluate the security quantitatively for a postulated contingency. The authors define a security index which represents absorbing capacity of post‐fault kinetic energy based on the energy function method. The index has these advantages: it is possible to calculate values rapidly; and physical meanings are easily understood. The effectiveness of the proposed method is ascertained through numerical examples for model power systems.