Research On Power Grid Planning Investment Decision Based On Improved TOPSIS And BWM-Anti-Entropy Weight

With the rapid growth of China’s social economy,the production capacity of the whole society has been continuously enhanced,and higher requirements have been put forward for the construction of the power system.The construction of the power grid is a key part of the construction of the power system and shoulders a major social responsibility.Power grid planning is the key to the scientific,reasonable and efficient development of power grids,so scientific and effective evaluation of power grid planning schemes has important practical significance.The traditional power grid planning evaluation mainly focuses on the economic and technical aspects of the scheme,and less considers the coordination and flexibility of the grid planning scheme for the future.And under the condition of large-scale grid connection of renewable energy,grid planning projects should play a more important role in the social environment.Therefore,it is necessary to evaluate the investment decision of the power grid planning program in an all-round and multi-dimensional manner such as economy,technology,safety,and social environment,considering the principles of scientific rationality and ease of operation under the current technical level and the power market environment.Based on this,this paper conducts an in-depth study on the evaluation indicators of power grid planning,proposes a comprehensive evaluation index system that can fully reflect the main characteristics of power grid planning projects,and uses the improved BWM-anti-entropy weight method to weight the constructed index system.To improve the traditional TOPSIS method’s reverse order problem and Euclidean distance failure problem,it is proposed to use the absolute ideal solution and Mahalanobis distance to improve TOPSIS,and for the defects of Mahalanobis distance itself,it is proposed to use Pearson correlation coefficient and combined weight to improve.Finally,the power grid planning investment decision-making model based on improved TOPSIS and BWM-anti-entropy methods is proposed and applied to the comprehensive evaluation of grid planning projects.The main research contents of this paper are as follows:(1)Construction of an investment decision-making index system for power grid planning.On the basis of expounding the basic principles and processes of power grid planning investment decision-making,this article considers the constraints faced by power grid planning project evaluation work,and analyzes the construction principles of the power grid planning investment decision evaluation index system.Then,from the perspective of comprehensive benefits of power grid planning projects,this paper constructs a grid planning investment decision-making evaluation index system covering safety,reliability,cost-effectiveness,flexible coordination,and social environment to provide an objective and comprehensive evaluation basis for grid planning investment decisions.(2)Research on the combined weighting model of investment decision-making indexes for power grid planning.The subjective empowerment method is based on expert experience and the actual situation of the project,but its subjectivity is too great;The objective weighting method is based on the analysis of the data itself,but the index weights based on the analysis of the data itself may deviate greatly from the actual situation of the project.Based on this,this paper proposes a combination of BWM-anti-entropy weighting method,and uses game theory to absorb the advantages of the two weighting methods,breaking through the limitations of the subjective and objective weighting methods themselves.The improved combination weighting method not only retains objectivity,but also combines expert experience to make the comprehensive weight more scientific and reasonable;(3)Research on the evaluation model of power grid planning investment decision based on improved TOPSIS.The traditional TOPSIS method has the advantages of simple operation,intuitive evaluation results,and can eliminate the dimensional influence between different data in the project,so it is a better method for making power grid planning investment decisions.However,when the scheme changes,the traditional TOPSIS may have the problem of reverse order,and when the evaluation indicators are linearly related,the Euclidean distance of TOPSIS may become invalid.Therefore,this paper proposes an improved TOPSIS method based on Mahalanobis distance to eliminate the problems caused by the traditional TOPSIS method in the evaluation process.However,although the Mahalanobis distance is not affected by the dimension and considers the correlation between attributes,it ignores the difference between the attributes.Meanwhile,the covariance of Mahalanobis distance is easy to magnify the influence of attributes in calculation due to its own limitations,and it cannot accurately represent the association between attributes.Therefore,this paper proposes to replace the covariance with the Pearson correlation coefficient,and introduces the combined weighting method into the Mahalanobis distance to form the weighted Mahalanobis distance.(4)Empirical analysis of power grid planning investment decision.Aiming at the proposed methods,models and index systems,empirical analysis and testing are carried out through actual grid planning data.Combining the results of empirical analysis,this article provides feasible suggestions for power grid planning and investment decisions,in order to provide a reference for the actual work of power grid companies.