| In recent years,with the energy crisis and environmental pollution deteriorating,governments have introduced relevant policies to optimize energy structure,which promotes the research and utilization of new energy sources such as wind and solar energy.Applying distributed power generation technologies such as photovoltaic power and wind power to industrial parks,and arranging reasonable energy storage devices to build industrial new energy microgrid systems,promoting the local consumption of renewable energy and reducing the proportion of coal electricity,with good development prospects and application value.At present,the research on the hybrid energy storage configuration of the new energy microgrid in the industrial park is mainly based on the reliability of the power supply technology.It is easy to ignore the economic analysis of the hybrid energy storage configuration,and the cost of the mixed energy storage configuration during the planning period of the new energy microgrid.The apportionment is used to analyze the demand side response to industrial time-sharing characteristics and investment economics.This paper expands the research on the economic decision-making of hybrid energy storage configuration of new energy microgrids.Starting from the actual operation of the new energy microgrid in the industrial park,this paper first considers the new energy output and the load power demand mismatch in the microgrid,resulting in the waste of new energy output and the increase in the cost of electricity purchase.Secondly,the characteristics of industrial load power volatility are considered.In the new energy microgrid,the hybrid energy storage system is configured to respond to the industrial time-sharing electricity price.The energy storage cost during the planning period is equally shared by the net annual cost.The typical daily data is used to calculate the annual average cost of electricity purchase.A hybrid energy storage configuration optimization model for industrial park new energy microgrid based on demand side response and capital time value was established,and a linear decreasing weight particle swarm optimization algorithm was designed.This is the main innovation of this paper.The article firstly reviews the necessity and feasibility of the new energy microgrid and the application of energy storage in the microgrid,and reviews the hybrid energy storage optimization configuration in the new energy microgrid.After that,the related theoretical basis of the hybrid energy storage configuration and demand side response of the new energy microgrid is introduced to prepare for the follow-up study of the article.Based on the reasonable assumptions and mathematical descriptions of the actual energy storage requirements of industrial parks,a mathematical model based on demand side response and capital time value is constructed.In order to solve the proposed nonlinear optimization problem and improve the accuracy of the solution,the particle swarm optimization algorithm is used to solve the problem.In the process of solving the optimal solution,the particle swarm optimization algorithm with linear decreasing weight is designed to avoid falling into the local optimal solution.Search capabilities and local search capabilities are weighed.In the case analysis part5 through the analysis of the actual demand of the industrial park,the designed linear descending weight algorithm is used to solve the actual case,and the economics of the mixed energy storage in the new energy microgrid of the industrial park is analyzed.It can be compared to verify the validity of the model.The problems studied in this paper provide a certain reference for the investment and construction of the new energy microgrid,which has important theoretical value and practical guiding significance. |
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