This paper presents the concept of real-time Centre Of Angle (COA) for a multi-area power system. The core idea is to generate some on-line information about the remedial actions which should be taken to enhance the security of an electrical power network subjected to a sever disturbance. Also, by applying mathematical concepts, the paper improves the real-time concept of COA for being used in the electrical networks by considering the characteristics of the Electrical Energy Market (EEM). The suggested real-time COA makes it possible to maintain the synchronism between the participating generators in one area and other generators located in other areas. The paper, based on the real-time COA, introduces an alarm signal which can warn that the trend of area isolation (islanding) is proceeding, before the area gets fully isolated.

No abstract

The stability of future power networks is getting influenced by the features of sustainable energy sources. Thus, a method of stability indication, which can combine the stochastic behavior of the renewable energy sources and the deterministic way of stability analysis, is of interest. This paper introduces an analytical method of small disturbance angle stability indication in future power systems. By applying this method, the impacts of stochastic characteristics of sustainable energy sources on the concept of angle stability are considered. In this paper, the definition of small disturbance angle stability for future power systems is reviewed and an iterative-stochastic method of analysis for this type of stability is presented. Also, the suggested iterativestochastic methodology is numerically verified by getting applied to an electric power test system.

No abstract