Power system dynamic load modeling using adaptive-network-based fuzzy inference system

Abstract

The representation of the dynamic characteristics of power system loads is widely used for obtaining power system operations, controls and stability limits and becomes a critical factor in power system dynamic performance. In this paper, the performance of power system dynamic load modeling using adaptive-network-base fuzzy inference system (ANFIS) is compared with traditional architectures. The ANFIS models can represent nonlinear systems performance accurately, and they are promising for dynamic load models. Computer simulations show excellent results using this approach for power system dynamics.