Power Hardware-in-the-Loop: Response of Power Components in Real-Time Grid Simulation Environment

With increasing changes in the contemporary energy system, it becomes essential to test the autonomous control strategies for distributed energy resources in a controlled environment to investigate power grid stability. Power hardware-in-the-loop (PHIL) concept is an efficient approach for such evaluations in which a virtually simulated power grid is interfaced to a real hardware device. This strongly coupled software-hardware system introduces obstacles that need attention for smooth operation of the laboratory setup to validate robust control algorithms for decentralized grids. This paper presents a novel methodology and its implementation to develop a test-bench for a real-time PHIL simulation of a typical power distribution grid to study the dynamic behavior of the real power components in connection with the simulated grid. The application of hybrid simulation in a single software environment is realized to model the power grid which obviates the need to simulate the complete grid with a lower discretized sample-time. As an outcome, an environment is established interconnecting the virtual model to the real-world devices. The inaccuracies linked to the power components are examined at length and consequently a suitable compensation strategy is devised to improve the performance of the hardware under test (HUT). Finally, the compensation strategy is also validated through a simulation scenario.

Automated summary

This paper introduces a methodology to test autonomous control strategies for distributed energy resources, utilizing the Power Hardware-in-the-Loop (PHIL) concept to validate robust control algorithms for decentralized grids in a controlled environment. By establishing a test-bench for real-time PHIL simulation, the dynamic behavior of real power components connected to a simulated grid is studied, and a compensation strategy is devised to improve hardware performance. Through hybrid simulation in a single software environment, inaccuracies linked to the power components are examined and a suitable compensation strategy is validated through a simulation scenario.