A novel platform of validity concept and fuzzy Kalman filter applied to conservation voltage reduction assessment

Abstract

Improving electric energy conservation has been a topic of interest to the electric power industry for a long time. Conservation Voltage Reduction (CVR) is a proven method for saving energy and reducing peak demand. However, due to highly stochastic load behavior and increasing the market penetration by intermittent renewable energies, energy conservation remains a challenge. We propose an improved CVR assessment scheme that employs a fuzzy Kalman filter with load-to-voltage (LTV) dependence while manipulating with the degree of validity to deal with this challenge. By definition, in the proposed approach, the fuzzy Kalman filter is used to estimate time-varying model parameters, while manipulation with validity concept leveraging human expert knowledge to increase the efficiency of the filter. Simulation results on an IEEE 34-bus, 24.9 kV test feeder show the priority of the proposed approach compared with alternative approaches.