Research On Optimal Dispatching Of Smart Street Lamp Microgrid With Multiple Controllable Loads

As an important entry point for the construction of smart city,smart street lamp carries a large number of intelligent devices and can obtain various types of data such as transportation,energy and meteorology.It is of great significance to build a digital and information-based city.However,with the large-scale application of the smart street lamp project,the problems of high energy consumption and poor operation economy have become prominent,which not only restricts the promotion of smart street lamps,but also indirectly affects the process of smart city construction.Therefore,on the premise of ensuring that the service quality is not affected,how to reduce the operation cost of the smart street lamp project and reduce the adverse impact on the distribution network has become an important research content for the development of the smart street lamp industry.This thesis analyzes the development process of smart street lamp and the research status of microgrid economic operation,expounds the problems and challenges faced by smart street lamp in the promotion process,and discusses the significance of applying microgrid economic operation theory in smart street lamp project.In order to improve the economy of project operation and reduce the impact of load on distribution network,the components of smart street lamp microgrid are modeled and analyzed,and the corresponding control strategy is formulated according to the characteristics of various controllable loads.Among them,fuzzy algorithm is used for multidimensional control of lighting load;For the advertising screen load,an advertising decision-making model based on promotion degree is established;Aiming at the randomness of electric bicycle charging load,the orderly charging model of electric bicycle is established by optimizing the charging time.Finally,the simulation analysis of each strategy is carried out to verify the effectiveness of each control strategy.In order to maximize the operating profit and minimize the power fluctuation of microgrid,a multi-objective optimal scheduling model of smart street lamp microgrid is established.Aiming at the defects of standard gray wolf algorithm,an improved gray wolf algorithm based on niche technology is proposed,which uses sharing mechanism and crowding mechanism to improve the diversity and convergence of the algorithm.Finally,the solution strategy of the improved algorithm is analyzed.The simulation results show that the optimal scheduling of the energy storage system further reduces the operation cost and suppresses the fluctuation of microgrid power.