Smart Grids consist of multiple controls, computers, and new technologies and equipment that operate distributed renewable energy resources and energy storage devices, monitoring systems, and smart meters. Advanced control is utilized to manage real-time pricing, flexible loads, solar, wind, and many forms of energy storage, and microgrid management. Distributed and fast control routines are essential for an optimal system operation to manage the smart grids efficiently. The control design and development require adequate experimentation and validation due to the significant rule that plays the smart grids’ control in energy management, grid security, and economic benefits. Therefore, it is essential to develop real-time simulation via control hardware in the loop (CHIL)-based strategies. This research focuses on developing a CHIL testbed to test power management and monitoring strategies. CHIL is a powerful technique for validating and demonstrating systems rigorously and dynamically that is not achievable with traditional simulation and testing methods
