The Research Of Optimal Configuration Of Power Sources In Micro-grid Based On Hybrid Intelligent Optimization Algorithm

With the world’s fourth industrial revolution,that is,the green revolution quietly come,the high efficient utilization of non-pollution new energy get more and more attention,represented by the wind,photovoltaic energy development is particularly rapid.However,because of its random and intermittent output,connected to the grid could easily lead to greater volatility.The micro-grid as a small controlled network can either parallel operation,or island operation,facilitating access and management for distributed generation.Therefore,micro-grid power needs to be reasonable optimization,and then more efficient development and utilization of new energy,to ensure safe and stable operation of power system.This paper considers system reliability and economy to optimize the micro-grid power resources under grid-connected mode and apply theory to practice.The main contents of this paper are as follows:(1)Firstly,the background and significance of the topic are expounded,and the definition and development of the microgrid are introduced.In this paper,we emphasize the importance of configuring the appropriate location and capacity of microgrid power resources to the development of microgrid and power system in the future.We analyze the research of microgrid in the world and point out the necessity of microgrid power optimization,providing a theoretical basis of the subsequent research and application of configuring the appropriate location and capacity of microgrid power resources.(2)This paper review the research situation and principles characteristic of micro-grid power,such as wind power,photovoltaics,energy storage devices,then modeling and simulation of its typical characteristics in MATLAB software for preparing the subsequent micro-grid power optimization for the theory and mathematical model.A variety of intelligent optimization algorithms for microgrid optimization are studied,and realization of classical particle swarm optimization algorithm,NSGA-II algorithm and hybrid intelligent optimization algorithm through MATLAB programming.Compiled three benchmark test functions,which include Sphere、Schwefel and Rastrigin test function.Three kinds of algorithms are simulated respectively.The results of algorithm are compared with each other to prove the advantages of proposed algorithm in convergence and optimization performance.(3)This paper builds a multi-objective optimization model for the optimization of micro-grid power under grid-connected mode,with voltage deviation,loss of power supply probability and storage capacity as objective functions,and proposing a hybrid intelligent optimization algorithm based on classical particle swarm optimization and a variety of NSGA-II algorithm optimization strategy.Realization of classical particle swarm optimization algorithm and the proposed algorithm compiled program by MATLAB.Taking the IEEE33 node test system as an example,the power resourses in the microgrid is optimized.Using the classical particle swarm algorithm and the proposed hybrid intelligent optimization algorithm to optimize and calculate in MATLAB,obtaining the optimal access location and optimal configuration capacity of each power resourse in the microgrid.Through the comparative analysis of the configuration results of two algorithms,verifyed the superiority and effectiveness of the proposed algorithm.(4)This paper designed the visualization software interface of the chapter three and four by using the GUI function module of MATLAB software.After simple introduce of the GUI function module,setting the software menu according to the content of this paper,designed welcome interface,software initial interface,optimization algorithm interface and micro-grid power resources optimization main interface,and then compiled the program to achieve the control function,designed the submenu about software interface in related menu,and from now on,this paper completed all software interface design.After the above design,the content of this article can be more intuitive to see,and making the micro-grid power optimization configuration research and application with better versatility and operability.