Research On Load Forecasting And Energy Management For Combined Energy Supply System Based On PV/SOFC Technology

Today, the balance between energy consumption and environmental protection is gradually being destroyed. While people vigorously exploit and use these traditional energy, environmental problems have become increasingly serious. In recent years, the solar photovoltaic cell (PV) has been widely used in the world for the characteristics of rich resources and environmental protection, but the characteristics of intermittent and fluctuation still restrict the development of it. At the same time, as a great development potential power generation technology, the solid oxide fuel cell (SOFC) is also gradually being paid close attention. Combining PV and SOFC can improve power generation efficiency and make up for the lack of PV. Therefore, this combined power supply technology is a great way to alleviate the environment and energy problems and has important theoretical and practical significance.Based on National Nature Science Fund, this paper studies PV/SOFC combined energy supply system. Design a combined energy supply system with PV, SOFC, electrolyzer, hydrogen storage tank and a power converter. In the aspect of system design, this paper chose reasonable system modules, and built the corresponding mathematical models and simulation models. In the aspect of system optimization, the maximum power tracking of PV was studied and the energy management strategy was studied combining load forecasting technology. The work contents are as follows:Firstly, operation principles of the system were analyzed, and the corresponding mathematical models were built, and the simulation models were built on the MATLAB/Simulink.Secondly, the maximum power point tracking (MPPT) control of PV was researched. And disturbance observation method, incremental conductance method and fuzzy control method, the three different control methods were described, whose advantages and disadvantages were compared and corresponding simulation model was built on the MATLAB/Simulink. Then the incremental conductance method was chosen for simulation analysis, and the results shows that this method can achieve maximum power tracking control fast and accurately.Thirdly, three kinds of neural network algorithms for short-term load forecasting were described, and MATLAB neural network toolbox was used to establish BP neural network model and RBF neural network model, then, the selected load sample data was used to train and predict the two neural network, and analyzed results of the two prediction algorithms. It obtained ideal forecast results, verified the effectiveness of the proposed algorithms for load forecasting, and provided technical support for the study of energy management control system.Fourthly, energy management strategy of PV/SOFC combined energy supply system was designed combining load forecasting technology and the characteristics of system units, and the overall system simulation model was built on the MATLAB/Simulink. In order to verify the reliability of the system, actual user load data was selected to verify it both in adequate light and inadequate light.In summary, this paper focuses on design and simulation of PV/SOFC combined energy supply system. In the process, it adopts a problem-oriented approach to analyze, organize and simplify, and emphatically studies methods of building and design. The results show that the system is reliable and stable, and can meet user demands for electricity.