Decentralized load frequency control for load following services

This paper proposes a decentralized controller for the load frequency control operated as a load following service. Decentralization is achieved by developing a model for the interface variables, which consist of frequencies of other subsystems. To account for the modeling uncertainties, a local Kalman filter is designed to estimate each subsystem's own and interface variables. The controller uses these estimates, optimizes a given performance index, and allocates generating units's outputs according to a deregulation scenario. Two test systems are given to illustrate the proposed methodologies.