Research on the load management and assessment system for the high energy-consuming enterprises based on key index data analysis

Abstract

According to the electrical characteristics of high energy-consuming enterprises and their management requirements, gateway real-time power demand, power factor, load rate and electricity consumption are selected as the key index data for load management, and a load management system is developed using these index data. On the secondary data integration, the electricity monitoring data and the electricity consumption data were gathered into a unified platform, which provides real-time monitoring of electricity workshop, threshold crossing alert, subentry statistical analysis, comprehensive ranking and management evaluation function. Ranking in the calculation of each power plant workshop, using a weighted sum of sub-margin approach, and the establishment by AHP evaluation model by three sub-indices, the top layer is the decision-making layer, the intermediate one is a layer of the guidelines, and the lowermost one is the solution layer. The goal of decision-making layer is to reduce the enterprise power business costs, the guidelines for the intermediate layer include reducing maximum demand value, improving power factor value assessment, reducing the average tariff, and reducing electricity fees during an assessment cycle, and the solution layer need to achieve the goals of the upper layers by the management of the electricity fees, load rate, power factor, power demand, and the average load. Using the system, the management department of the enterprises can make summary statistics by electricity index data, and at the end of the exam period, evaluation and reward will be executed according to the ranking result. This system can gradually improve the employee energy-saving awareness and power efficiency, which can reduce electricity costs for the enterprises.