Energy Storage Station Grading Using Weighted TOPSIS Evaluation
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Solution Overview
Problem
The existing methods for determining the grade of energy storage stations are prone to errors due to subjective evaluation by personnel with insufficient experience, leading to reduced accuracy and increased human labor costs.
Innovation Solution
A method and device using an index evaluation system that calculates an objective and subjective weight for each evaluation indicator of an energy storage station, employing the DEMATEL-ANP mixed decision-making model and CRITIC weighting method, followed by the TOPSIS method to determine a comprehensive evaluation grade, thereby reducing reliance on human judgment and labor costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If personnel determine evaluation grade based on historical experience using operational data, then the evaluation process is simple, but the accuracy of evaluation grade is reduced due to insufficient experience
Solution Approach 1:
The patent introduces an intermediary evaluation system comprising multiple evaluation indicators (safety, reliability, economy, etc.) and weighted scoring mechanisms. This intermediary system objectively translates operational data into evaluation grades, eliminating the need for personnel to directly assess based on subjective experience, thereby improving accuracy while maintaining manageable complexity through structured assessment dimensions.
Solution Approach 2:
The patent replaces the mechanical system of human expert judgment with an automated information processing system that collects operational data, applies predetermined evaluation indicators and weights, and generates evaluation grades automatically. This substitution eliminates subjective biases and experience limitations while maintaining systematic assessment through digital processing of safety, reliability, and economic indicators.
2Measurement precision
If personnel are involved in every assessment process to determine evaluation grade, then the accuracy may be maintained through experience, but the human labor costs are significantly increased
Solution Approach 1:
The evaluation system is designed to operate autonomously by automatically collecting operational data from energy storage stations, applying predetermined evaluation indicators and weights, and generating evaluation grades without human intervention. The system serves itself by maintaining the evaluation framework, updating scores based on incoming data, and producing results, thereby eliminating the need for continuous personnel involvement while maintaining consistent accuracy.
Solution Approach 2:
The patent replaces the mechanical system of human personnel assessment with an automated information processing system that handles data collection, indicator calculation, weighted scoring, and grade determination. This substitution dramatically reduces human labor costs while improving productivity through continuous automated operation, yet maintains measurement precision through systematic application of evaluation criteria across all energy storage stations.
Data Source
AI summary
Provided are method and device for determining grade of energy storage station based on index evaluation system, including for indicator score of at least one of evaluation indicators for each energy storage station, utilizing objective weighting method based on the indicator score of each evaluation indicator of energy storage station to determine objective weight of each evaluation indicator of the energy storage station; utilizing mixed decision-making model based on the indicator score of each evaluation indicator of energy storage station to determine subjective weight of each evaluation indicator of energy storage station; determining comprehensive weight of each evaluation indicator of the energy storage station based on the objective weight and the subjective weight of each evaluation indicator of energy storage station; and utilizing, based on the comprehensive weight of each evaluation indicator of each energy storage station, the TOPSIS method to determine evaluation grade of each energy storage station.