Special transformer user energy consumption optimization method based on STN state network

Abstract

The invention relates to the field of electric power systems, in particular to a special transformer user energy consumption optimization method based on an STN state network. The method comprises thefollowing steps: collecting special transformer user data, and preprocessing the special transformer user data; in a production process described based on an STN state task network, establishing a special transformer user power consumption management model by setting reasonable constraint conditions for each node; and establishing a special transformer user energy consumption optimization model based on the power consumption property, and optimizing the special transformer user energy consumption. By using the method and the system, the following effects can be achieved: compared with a traditional user demand side management or user energy consumption optimization management method, the production plan and the equipment parameters of a user are considered, a feasible user production scheme is specifically provided, and the method has higher operability.

Description

technical field [0001] The invention relates to the field of electric power systems, in particular to an STN state network-based method for optimizing user energy consumption. Background technique [0002] As the scale and complexity of the power system continue to increase, the reliability and economy of power consumption by special variable users directly affect the normal operation of the distribution network, which plays a key role in effectively reducing the cost of power purchases and implementing optimal control of power systems in various regions. It has been proved that using industrial loads to participate in power grid peak regulation has achieved good results, and special variable users including most industrial loads have the advantages of large response capacity, stable load and high level of automation, and are the most important DR resources in the power system. However, due to the limitations of production planning, inventory, personnel management and other ...

AI Technical Summary

Problems solved by technology

However, the traditional user demand side management or user energy optimization management methods, due to the constraints of production planning, inventory, personnel management, etc., it is difficult to carry out intelligent management of electricity consumption for specific users

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