A New Wide Area Intelligent Multi-agent Islanding Detection Method for Implementation in Designed WAMPAC Structure

In this paper, a new multi-agent distributed neural network based islanding detection algorithm is presented. The proposed algorithm is placed in the designed wide area monitoring, control, and protection system (WAMPAC) as one of its applications. Therefore, firstly, the proposed WAMPAC structure and its main parts including WAMS, WACS and WAPS are highlighted that are designed to have a situational awareness to perform both of control and protection actions. To have fast and accurate responses at different contingencies such as WAMS equipment failures or data transmission latency, the multi-agent concept, and neural network algorithm are used at some of the WAMPAC control and protection applications. To show the effectiveness of the designed algorithms, the islanding detection application and its algorithms are described in detail. The proposed method is applied to the IEEE-118 bus power system and its performance is demonstrated at various disturbances. It is shown that the islanding necessity is predicted correctly that helps to perform corrective actions such as controlled islanding execution to avoid wide area blackout. In addition, the algorithm response is increased significantly that contributes to overcome the possible drawbacks of WAMS in large interconnected power systems.