Intelligent Control of Energy Prosumer Based on NSGA-II-interior Point Algorithm

With the increasing popularity of distributed new energy sources, energy storage devices and electric vehicles, the number of user-level energy prosumer in the power grid will increase. For this reason, the hardware experimental platform for ordinary user-level energy prosumer is studied to achieve the goal of high integration and collaboration of internal energy and information flow. The platform uses AC/DC coupling hardware topology structure. Users can check the working condition and control the working status through the upper computer system, including manual mode and intelligent mode. On this basis, a NSGA-II-interior point algorithm is proposed for energy management in intelligent mode, and the link between the interior point method and NSGA - II algorithm is realized by the Ɛ constraint method, which not only gives full play to the global optimization ability of heuristic algorithm, but also makes up for the defect that the numerical optimization method depends on the initial point. Finally, the transient test proves that the experimental platform has good transient response performance; the steady-state test proves that the algorithm converges better, and the power scheme with lower cost and higher comfort can be obtained, which can solve the problem of "source storage load" collaborative scheduling of energy prosumer more effectively.