Model predictive control (MPC) has been applied in multiple ways to the load-frequency control problem. In this study, the authors illustrate and compare a target-adjusted MPC to a classical MPC formulation. The target-adjusted approach is also posed as optimal control law. The target-adjusted MPC is an alternative formulation that incorporates the system equilibrium into the control objective. The alternative derived controller can be used as substitute for classical MPCs. GELSD Lapack routine for solving least-squares problems c0 classic quadratic regulator formulation c1 target-adjusted regulator formulation
We derive a control strategy for the operation of Microgrids (MGs) with high shares of Renewable Energy Sources involving Model Predictive Control (MPC). By combining the MPC with an Energy Management System (EMS) utilizing stochastic programming techniques and a sufficiently large temporal optimization window we improve the point of operation of the system regarding both short and long-term operational aspects. We aim for a system operation that allows for the utilization of the MG as a Virtual Power Plant. In this work we focus on the predictive controller design and the incorporation of information derived in the EMS layer.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.