Energy Saving Decision System for User Power Distribution Based on Intelligent Monitoring Platform

Abstract

The invention discloses a user power distribution and energy saving decision making system based on an intelligent monitoring platform. The user power distribution and energy saving decision making system based on the intelligent monitoring platform comprises a raw data conversion module, a cooked data conversion module, a user module, a power distribution network operation optimization analysis module, a power distribution network optimization scheme module, an energy saving tool box module, an evaluation object selection module and a power distribution network evaluation module, wherein the power distribution network optimization scheme module calls the power distribution network operation optimization analysis module to conduct power distribution network operation optimization analysis on cooked data according to a power distribution network optimizing way input by the user module to obtain an optimization scheme; the energy saving tool box module calls the power distribution network operation optimization analysis module to conduct load flow calculation and transmits an obtained load flow calculation result to the user module to display; the evaluation object selection module is used for selecting an actual running power distribution network or an optimized power distribution network, and the power distribution network evaluation module is used for conducting evaluation on the power distribution network selected by the evaluation object selection module and sending the evaluation result to the user module to display. By means of the user power distribution and energy saving decision making system based on the intelligent monitoring platform, the optimization analysis, the optimization scheme and the evaluation of power distribution networks are achieved.

Description

technical field [0001] The invention relates to the field of power distribution and energy saving, in particular to a user power distribution and energy saving decision system. Background technique [0002] With the rapid development of the electric power industry, the service concept of electric power enterprises has changed from planned power consumption to market development, and from power consumption management to marketing services. Mechanisms that require rapid, scientific decision-making in response to changing circumstances. However, the electricity consumption management information system based on online transaction processing established by most domestic power supply enterprises cannot provide the function of decision analysis well. For example: historical data is difficult to use; there are many statistical calibers, data consistency cannot be guaranteed, and it is difficult to fully grasp business information; query efficiency is low; decision-making applicati...

AI Technical Summary

Problems solved by technology

However, the electricity management information system based on online transaction processing established by most of the domestic power supply enterprises cannot provide a good decision-making analysis function.

For example: historical data is difficult to use; there are many statistical calibers, data consistency cannot be guaranteed, and it is difficult to comprehensively grasp enterprise operating information; query efficiency is low; decision-making applications and business applications interfere with each other, etc.

Therefore, in order to effectively cope with the large amount of data, complex decision-making, and lack of technical means faced by power grid planning, designing and implementing a user power distribution energy-saving decision-making system is a problem that technicians in the field need to solve

Images