Energy Storage Management Strategies Research Of Large Scale Wind Power And Photovoltaic Power Generation System

Scenery complementary power generation system contains wind power storage electronic systems, photovoltaic electronic system, storage system and load. Compared with independent wind power or solar photovoltaic power generation system, scenery storage hybrid power supply system is more economic and reliable, which can be very good to adapt to changes in the external environment. Meanwhile, this system can make up for the new energy power generation problem to a large extent. Wind and solar power generation are with intermittent and random characteristics. The renewable energy of grid connected effects on the grid security, stability, power quality etc. According to the application demand to stabilize the scenery power fluctuations, this paper researches mixed storage of super capacitor and battery systems and the super capacitor and battery energy management, to make full use of super capacitor and battery’s advantage and promote the hybrid energy storage, which plays an important role in the performance of the system. This paper establishes an energy management scheme of the hybrid energy storage system as the core of battery energy storage, and put forward the management strategy for the index by using the energy loss and energy loss. At the end, the paper models and simulates the super capacitor and battery energy storage system. For the sake of capacity allocation, this paper puts forward the criterion index smoothing system requirements of power fluctuation when Wind power and PV fluctuation can meet the requirements of national standards. Next, this paper establishes the short-term neural network model smoothing power fluctuation and the long-term cost of the mathematical model of energy storage. Ultimately, this paper figures out the optimal solution for objective function by using the chaotic particle swarm algorithm.