In order to analyze the transient stability of largescale power systems, it is advantageous to apply the system reduction method to external systems. The short-circuit current method is a typical engineering reduction technique. However, the dominant eigenvalues are not necessarily conserved in the reduced system. Therefore, the hybrid reduction method, in which controller parameters are adjusted to conserve the dominant eigenvalues, was proposed. Automatic voltage regulators (AVR) and power system stabilizers (PSS) have been used for parameter adjustment so far. However, since there are many parameters in AVR and PSS, complicated procedures are required to adjust them. Therefore, in this paper, the reduced system regulator (RSR) is proposed for the hybrid system reduction method. The RSR has only two parameters for adjustment. It is easier to adjust the RSR than AVR/PSS. In addition, the initial gains of the RSR are set to zero so that the dynamic behavior of the system is not influenced before adjustment. The effect and accuracy of the hybrid system reduction method with RSR are examined using a typical longitudinal power system, the IEEJ WEST 10-machine system model.
This paper presents a fast computation method of static voltage stability using geometric parameter adjustment for the continuation power flow. The conventional method has the following problems: voltage stability assessment (VSA) is high accuracy but there is much total convergence calculation number of times. The features of the proposed method are following: (1) to change the step size of a geometric parameter in prediction part, (2) to adjust a geometric parameter using temporary maximum loading point (MLP) by Look‐Ahead method. The proposed method has an advantage of being able to maintain high accuracy for VSA and to calculate less total convergence calculation number of times than conventional methods in IEEE test case of 118 and 300 bus systems.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.