An Approach to Implement Electricity Metering in Real-Time Using Artificial Neural Networks

As many utilities move towards deregulation, the research focus on spot pricing of electricity has led to the development of complex spot-pricing-based electricity rate models. As research matures to implementation stages, approaches to meter the actual power consumption in real-time are required. We model a real-time electric power metering approach based on neural networks. A carefully designed artificial neural network (ANN) is trained to recognize the complex optimal operating point of an all-thermal electricity generating utility. A real-time rate is allocated to each bus for a given power system´s loading pattem, and the recall process is instantaneous. The proposed approach is tested using a spot pricing model on 5 and 14 bus electric power systems. Different loading levels are used for each bus.