Research On Optimal Operation And Energy Management Strategy Of Micro-grid Based On Power Prediction

With the development of distributed power penetration, its adverse impact on the grid is gradually increased and limit the develop of distributed generation. In order to maximize the potential of distributed generation, they carried out a large number of research in domestic and abroad, in which of micro-gird technology is a effective way to solve the problem of distributed generation. Micro-grid is a centerized system which includes distributed power generation unit load energy storage system and control devices, forming a controllable organic system, except that can switch seamlessly in independence and network mode flexibility.At present, the domestic and abroad micro-grid technologies are still in the research and demonstration phase. In the intermittent wind power and photovoltaic energy has a high penetration of new micro-grid system, how to integrate poor control of wind power and photovoltaic generation effectively into energy management system is also a hotspot research at home and abroad. China Electric Power Research Institute has developed a wind power and PV power forecast system, based on this prediction output. It can greatly enhance the impact of the micro-grid dealing with power fluctuations and improve the economic performance of micro-grid level. In this thesis based on wind power and PV power prediction, focusing on the optimization of micro-grid operation and energy management strategy, the main research contents include:(1) Analysis of wind turbine photovoltaic system battery storage system and super capacitor energy storage system major components of the model and its output characteristics.(2) Proposed a micro-grid energy management strategy based on distributed wind power and PV power generation forecast both with short term and ultra-short term, realized lithium battery energy storage system to achieve a reasonable charge or discharge and micro-grid optimal operation under the independent state.(3) Design and implementation micro-grid energy management system includes MMI, data acquisition, storage and query capabilities;(4) Developed and realized micro-grid distributed power dispatching and set tie-line power control operation under the network state.