A scalable predictive controller is proposed for coordinating multiple Shunt Switching Compensators (SSCs) to serve flexible compensation objectives while minimizing the power losses. A strategy utilizing Current Physical Component (CPC) theory and Recursive Discrete Fourier Transformation is used to orthogonally decompose the SSC reference currents into individual physical components. These components are associated with scaling coefficients which define the percentage of each desired component within the SSC compensated current, and therefore, providing flexibility and controllability for different compensation objectives. The proposed supervisory controller aims at computing each individual SSC's contribution to the compensation task based on their power ratings and then reflects the interaction of SSCs on the scaling coefficients. The proposed Model-Based Predictive control scheme provides automatic, fast, and real time computation of the reference current coefficients to ensure that energy management application employing this control scheme gives maximum power effectiveness in distributed power compensators system, such as electric shipboard system. MATLAB/Simulink simulation results of a two SSC system are presented and discussed.