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The Research on Grid-Connected Inverters and Its Control Strategy

Author: ZuoXiaoHui
Tutor: ShiJiYing
School: Tianjin University
Course: Theory and New
Keywords: Photovoltaic power generation Grid-connected inverter Neural Network Inverter Controller
CLC: TM464
Type: Master's thesis
Year: 2007
Downloads: 1131
Quote: 5
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Abstract


Frequent emergency electric power, coal , oil and other non-renewable energy , energy is increasingly becoming a bottleneck restricting the international socio-economic development , more and more countries began to implement the \Photovoltaic technology is a very important technology of photovoltaic applications , with a clean, safe , long life and little maintenance and many other advantages , is considered to be the 21st century will be the most important and the most dynamic new energy . Grid-connected PV systems and off-grid systems , compared with a more unique advantages of the latest highlights of the research and development in the field of photovoltaic power generation . In order to reduce the cost of photovoltaic power generation system , many countries in the efforts of efficient inverter . The same time, due to the serious system itself nonlinear, time- varying uncertainties , so that the mathematical model is difficult to establish , and application of the traditional method for controlling sometimes undesirable effect even the invalid , and neural network control strategy is needed to establish a precise mathematical model , having strong nonlinear approximation ability for effective control of nonlinear and uncertain system . Therefore, on the basis of the inverter circuit structure , explore the neural network control applied to the inverter control . The main content of the paper is as follows: (1) discusses the need for the development of photovoltaic power generation system , the status of grid-connected PV system . (2) describes the basic concepts of inverter technology , with an emphasis on grid-connected inverter topology and working principle . (3) discusses the neural network theory and neural network control some of the basic concepts of the basic theory and control theory, detailing the BP network structure and the lack of BP algorithm and improvement . (4) proposed a new inverter structure Based on Boost , an analysis of its working principle, characteristics and advantages of the inverter analysis method described in the second chapter , the BP neural network as described in Chapter controller design method , design the conventional BP network controller , and simulation analysis .

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CLC: > Industrial Technology > Electrotechnical > Transformers, converters and reactors > Converter > Inverter
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