Research On Economic Operation For Micro-grid Base On Configuration Of Dg Optimization And Storage Optimization Control

Micro-grid technology is an effective way to promote the development of renewable energy resources. To improve the economy of micro-grid operation can set a solid foundation for its development and promotion. Among the study of micro-grid economic operation, configuration of DG optimization is a key area to reduce line loss, however, existing research mainly focus on the level distribution, the study of line loss in micro-grid is not perfect; In addition, the traditional storage optimization method based on centralized control has limitations for the large scale micro-grid, the decentralized control is able to meet the needs of future development of the micro-grid. The dissertation study on these two aspects.Firstly, the dissertation has established a mathematical model of photovoltaic systems, a mathematical model of battery systems and a mathematical model of line losses in micro-grid. Then, simulation models of photovoltaic system and battery system by SIMULINK have been established. In addition, the validity of the maximum power tracking control method of PV system and the constant bus voltage battery charge and discharge policies has been testified.Secondly, combined with the line losses model, solving goals and constraints the dissertation has established a mathematical model of distributed generation optimization. Then, a immune algorithm dedicated to the problem is proposed in this dissertation, and the validity of the algorithm has been testified through simulation with MATLAB.Lastly, focus on micro-grid with multiple micro sources the dissertation has designed a fuzzy control strategy based on SOC, real-time price, distributed generation power, load power short-term load forecasting value and short-term distributed generation value in order to realize battery storage optimization. And the validity of the fuzzy control strategy has been testified through simulation with SIMULINK.The results of this research show that the configuration of DG Optimization algorithm and the battery optimization algorithm can improve the economy of micro-grid. Among them, the line length in the demonstration example of micro-grid with configuration of DG Optimization algorithm has reduced by58.9%and its line loss decreased from3.9%to0.539%;the demonstration example of micro-grid has created additional9.8%economic gains with battery optimization algorithm in real-time situation. Therefore, the research of the dissertation has some theoretical value and engineering value.