Research On Locating And Sizing Of Distributed Generation In Highways DC Microgrid

With the rapid development of the logistics industry and high-speed road network,the use of electrical equipments along highways presents a trend of intelligence,high power,and high density distribution.The problems of the high-loss and difficult-to-maintain of the existing power supply system of the highways are becoming more and more prominent.Therefore,it is particularly urgent to find a lowloss,easy-to-maintain alternative procedure.In this paper,the concept of the highways DC microgrid is proposed to solve these problems,and the research on the location and capacity of distributed generation in the highway microgrid is studied to achieve effective replacement of traditional solutions.The operating characteristics and modeling of distributed generation and acquisition of local meteorological data are the primary issues in the planning stage of the highway DC microgrid.This paper uses the HOMER software to simulate the local meteorological data,and selects fans,photovoltaic panels,and batteries as the micro-source of the DC microgrid according to the actual local conditions and conducts modeling work.In order to improve the convergence speed and accuracy of the power flow calculation in highway DC microgrid,the Breadth-First Search(BFS)algorithm is developed and the effectiveness of improved algorithm is verified by practical example.In order to implement the parameter calculation and automatic numbering of nodes,the VBA window was invoked to create an Improved BreadthFirst Search(IBFS)algorithm numbering interface.In order to determine the position of the distributed generation in the highway DC microgrid,distributed generation siting planning is designed based on multiobjective.The microgrid micro-increasing rate and branch voltage stability model of DC microgrid are established and the influence of location and capacity of distributed generation on the DC microgrid power loss is analyzed through practical example.The Improved Particle Swarm Optimization(IPSO)algorithm is used to solve the optimal capacity of the distributed generation.In order to solve the problem that the PSO algorithm is easy to fall into the local optimum,this paper developes the Particle Swarm Optimization(PSO)algorithm from the three aspects of initialization particle,inertia weight and mutation strategy,and verifies that the developed IPSO algorithm has excellent convergence and accuracy through typical function tests.The off-grid and grid-connected DC microgrid capacity optimization configuration procedures are designed and a normalized penalty objective function based on reliability and economy was established.By analyzing the practical examples of highways off-grid and grid-connected DC micro-grid,the optimized configuration off-grid DC microgrid proposed in this paper has higher reliability;Compared to traditional remote DC power supply solutions,the annual investment and maintenance cost of the grid-connected DC micro-grid is significantly reduced,and the degree of voltage equalization and the stability of the branch voltage are significantly reduced,which verifies the broad prospects for the use of highways DC micro-grid.