The Research On Grid-Connected Inverters And Its Control Strategy

Since the electric power,coal,oil and other non-renewable energy are in an emergency in recent years, Energy shortage has become the greatest bottle-neck in the development of economy and The exploitation of new energy must be enforced. More and more countries begun to develop solar resources to seek the new power of the economic development.The solar photovoltaic interconnected system with the advantages of clean, safe, long life,a little maintenance ,concerns the key application field with quickest development in the photovoltaic generating system.In order to reduce the cost of Photovoltaic Generation System, more and more countries begin to focus on the research of high efficiency inverters. Because of the strong non-linearity of the inverters themselves, the modeling of these system becomes difficult, its effect sometimes is unideal even invalid that applying conventional controlling methods. The strategy of neural network control needn't constituting mathematics model and have the strong capacity of drawing up any non-liner system, the neural network control is fit for controlling the systems of non-linear and uncertain. The dissertation probes into the grid-connected inverter and its neural network control.The most content of dissertation is followed:(1) Discussing the necessity of developing photovoltaic power generation system and introducing its development status.(2) Introducing basic concept of inverter technology and highlighting the topology and working principle of grid-connected inverter.(3) Discussing basic theory of neural network and basic concepts and control principle of neural network control, introducing structure of BP network , deficiency of BP arithmetic and improve method in detailed.(4) Proposing a new inverter structure based on Boost, analyzing its working principle, characteristic and advantage by using the analysis of converter introduced in Chapter 2, based on design method of BP neural network controllers introduced in Chapter 3 designing conventional BP network controllers and doing the simulation analysis.