Rolling optimization-based home energy management distributed robust scheduling method

Abstract

The invention relates to a rolling optimization-based home energy management distributed robust scheduling method, which comprises the following steps: (1) an operation model for electrical equipment in the home energy management system is constructed; (2) a mathematical model for uncertain parameters is constructed; (3) a mixed integer linear optimization model for the home energy management system is constructed; and (4) the above mixed integer linear optimization model is solved based on a rolling optimization method: firstly, the operation parameters of home electrical equipment, user comfort setting parameters and the above mixed integer optimization model are inputted to a CPLEX solver; and secondly, at the beginning of each time period, the actual indoor temperature and hot water temperature values obtained from the end of operation of the previous time period are inputted, the CPLEX solver is used to solve the above mixed integer linear optimization scheduling model, and an optimization scheduling result of the home electrical equipment in a next optimization time domain is obtained.

Description

technical field [0001] The invention belongs to the technical field of intelligent power utilization and relates to a scheduling method. Background technique [0002] In an environment where smart grid technologies such as high-speed channel technology, advanced measurement systems, and power consumption intelligent control technology are becoming more and more mature, traditional user-side loads have become a new type of considerable, controllable, and interactive demand response resources. On this basis, considering that household electricity consumption accounts for a large proportion of electricity consumption in the whole society, the scheduling method of user-side demand response resources based on household energy management system has become a hot spot in the field of intelligent electricity consumption. Based on the established scheduling method, the home energy management system responds to the incentive signals of various electricity price mechanisms on the grid s...

AI Technical Summary

Problems solved by technology

[0003] In order to solve the problem of uncertain parameters in the home intelligent power consumption system, using a distributed robust optimization method based on rolling optimization, the present invention provides an optimization model for the home energy management system in uncertain environments. Scheduling method for electrical equipment

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