Modeling power system load using adaptive neural fuzzy logic and Artificial Neural Networks

The modern power system consists of an integrated, complex, dynamic system. This dynamic system and its power system operation and control needs to be analyzed with numerical simulation. Among many components in the power system operation, load model is one of the least known models. The commonly used models include the ZIP load model and exponential load model. Load parameter representation for dynamic performance can be complicated and non-linear. The dynamic characteristics of power system loads are used for obtaining power system controls, operations and stability limits. Different approaches can be made to determine models for power system loads. In this paper, the authors used adaptive-neural network-based fuzzy inference system (ANFIS) and Artificial Neural Networks (ANN) to model power system loads.