| Under the "dual carbon" goal,low-carbon and energy-saving have become an inevitable trend for the high-quality development of the manufacturing industry.It is particularly important for manufacturing companies to reduce carbon emissions while reducing costs and increasing efficiency,to meet the challenges in the new era and turn challenges into opportunities.In the final,it can achieve flexible production,sustainable manufacturing and green development.Based on the above background,this paper studies the application of micro-grid in manufacturing enterprises,involving the coordination of various modules of the microgrid system,the constraints of production and manufacturing,and the optimal decisionmaking of energy distribution.This paper defines the entire microgrid system based on the related theory of microgrid,and then establishes the corresponding mathematical programming model from the two perspectives of its system capacity design,production maintenance and power integration optimization under the system,and designs corresponding algorithm.The main research contents of this paper are as follows:1)First of all,this article combines the advantages and disadvantages of each power generation mode of the microgrid,and designs a combined microgrid structure of "photovoltaic+ battery",combined with the cost of each module involved in the entire system,combined with the cost of each module involved in the entire system,considering production energy consumption constraints and time-of-use electricity price mode.From the overall,the long-term strategic planning is carried out for the project cycle of the microgrid system construction,and the system capacity is optimized with the goal of minimizing the net present cost of the construction plan after the effective evaluation of the system configuration.Then,two-layer algorithm,namely genetic algorithm combines with Monte Carlo simulation,is designed to solve the model.Numerical experiments show the economics of the microgrid installation program,and compare and analyze the influence of different factors on the system capacity.2)Then,based on the system,this paper considers more practical production details for short-term production scheduling,and further verifies the applicability of the system in daily production operations.This paper mainly considers equipment maintenance and non-simultaneous arrival of workpieces,with the goal of minimizing electricity costs,and establishes a mixed integer programming model that integrates and optimizes production planning,equipment maintenance and energy distribution.Corresponding solution methods are designed for the different decision variables of the model.For three levels,genetic algorithms,heuristic rules,and minimum cost flow precise algorithms are designed respectively to solve the problems.Numerical experiments demonstrate the effectiveness of the model and the superiority of the integration strategy,among which the electricity flow analysis shows the key role of the energy storage module.The renewable energy microgrid system designed in this paper can effectively help manufacturing companies achieve peak-shaving and valley-filling,cost reduction and efficiency enhancement under the time-of-use electricity price mode,and further enhance the enthusiasm of managers to apply new energy.In the long run,it can promote energy conservation and emission reduction,and help achieve sustainable manufacturing and green economy development. |
