Economic load flow using Lagrange neural network

Abstract

This paper proposed an artificial neural network (ANN) approach based on Lagrangian multiplier method (Lagrangian ANN) to solve the problem of economic load flow in a power system. Operational requirements and transmission losses are also taken care by the proposed approach. Power plant operating costs are represented by exponential cost functions. Simulation on a test example with six generating units shows that the proposed method can efficiently and accurately solve the problem of economic load flow.