Research On Location And Capacity Of Isolated Microgrid Based On Particle Swarm Optimization

With the rapid development of microgrid technology,in some areas where the erection of power grid is difficult and the construction cost is high,the construction of isolated microgrid has become the best choice to ensure residential power consumption,but also put forward higher requirements for the location and capacity of microgrid.In the process of location and capacity determination of microgrid,the reliability and stability of power quality are guaranteed firstly,and then the economic benefits of microgrid system are further considered.In this thesis,the meteorological conditions are taken as the core elements of microgrid location and capacity,and the output characteristics of wind turbine and photovoltaic array are taken into account.The output power model with meteorological conditions as input is established.From the perspective of cost maintenance,lead-acid batteries are selected as the energy storage devices of the microgrid system.Considering the influence of excessive deep discharge on the service life of batteries,a battery charging and discharging model is established.Diesel generators play the role of secondary frequency modulation in this system to maintain the stability of power quality of microgrid system.In this thesis,particle swarm optimization(PSO)is used to solve the installed capacity of distributed generation.As an intelligent algorithm,PSO has unique advantages in solving the problem of non-linear multi-objective programming.In order to solve the problem of installed capacity of distributed generation,the reliability of the whole power system must be guaranteed first.In this thesis,power supply reliability,constraints are introduced,and penalty functions are incorporated into the objective function to ensure the reliability of the results of capacity allocation.At the same time,the power quality of the system is stabilized by restraining the power balance of the microgrid system,the upper and lower limits of the power of distributed generators and the charging and discharging of batteries.The objective function takes the economic benefit of microgrid as the core,divides the total investment cost of distributed generation into one-time investment cost and two-time investment cost,and quantifies the main pollutants produced by diesel generators in the process of power supply,and incorporates the environmental governance cost model into the objective function.The algorithm takes meteorological conditions as input,takes into account the changing law of meteorological conditions in a region,selects monthly typical daily information,summarizes annual'meteorological information,and selects target power generation model by processing meteorological information.In the process of dynamic operation and dispatch of microgrid,priority should be given to non-adjustable distributed power supply,battery energy storage devices and diesel generator components to ensure power supply.In this thesis,the meteorological data of three locations are selected to solve the optimal solution scheme satisfying the constraints of each location,and the construction site of microgrid is determined by comparing the optimal solution scheme.At the same time,according to the experimental results at different locations,the experimental data are analyzed and reasonable design suggestions are given.It can be used for reference in the location and capacity orientation of islanded microgrid.