| Along with the gradual utilization of global fossil energy,the continuous growth of power request and the progressively serious environmental pollution,the full study of renewable energy technology has become the future development direction of new energy strategy.Microgrid integrates the advantages of distributed power provision and also is a pivotal component that enhancing the dependability of power provision and relieving environmental and energy pressure.Among them,the rational allocation of the distributed power provision types and capacity of microgrids is important to ensure the safe operation of microgrids,increase the consumption of renewable energy,and reduce the planning and construction costs of microgrids and promote the sustainable development of microgrids.In this paper,the distributed power supply and capacity of the wind/solar/storage/hydrogen microgrid are optimized for configuration research,which is divided into the following aspects:(1)In line with the operating theory and operating characteristics of each scattered power in the microgrid,a mathematical model of wind power,photovoltaic power,different types of batteries and hydrogen energy storage equipment is established.(2)For the energy storage system of wind-solar energy storage microgrid,four different energy storage modes are designed,including leadacid battery,vanadium redox battery,lithium iron phosphate battery and hydrogen energy storage.Based on the HOMER software to the total net present cost(NPC)of the system as the minimum goal of simulation optimization,identified the lithium phosphate battery and hydrogen storage energy mix energy storage scheme,and natural resources,component investment costs and other factors of sensitivity analysis.(3)Under the condition of distributed power output,capacity and system power balance,a multi-objective optimization configuration model of wind/solar/storage/hydrogen microgrid consisting of system economic cost,energy utilization rate and power supply reliability is established.(4)On the basis of elementary particle swarm,the genetic algorithm is fused and improved,and the optimization configuration model of multiple targets is solved by using the improved GA-PSO algorithm. |
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