Power consumption scheduling method capable of reducing averages and fluctuations of power costs

Abstract

Disclosed is a power consumption scheduling method capable of reducing averages and fluctuations of power costs. The method comprises (i) performing system modeling which includes power consumption modeling and modeling for generating renewable energy sources; (ii) treating reduction of power costs and fluctuation degrees of terminal users as an optimization objective according to system modeling, and establishing optimization problems; and (iii) using a fast hierarchical algorithm based on particle swarm optimization (PSO) for computing scheduling strategies of power consumption of electric apparatuses of optimal users. According to the power consumption scheduling method, averages and fluctuations of power costs of terminal users of smart power grids can be reduced effectively, and the fast hierarchical algorithm based on particle group optimization for computing scheduling strategies of power consumption of electric apparatuses of optimal users is provided with a low computation complexity.

Description

technical field [0001] The invention relates to the field of smart grids, in particular to a power consumption scheduling method capable of reducing the average value of power consumption costs and fluctuations thereof. Background technique [0002] Driven by the awareness of green energy conservation, the flexible supply and demand management system and the full use of renewable energy will become important technologies for the development and improvement of smart grids in the future. [0003] In the traditional power grid, the reliability of the power grid has always been ensured by providing excess power consumption capacity. Therefore, with the continuous increase of user demand, it will be difficult for the power grid to provide sufficient power consumption capacity for future demand. In addition, low-efficiency and wasteful supply and demand management systems are the main source of greenhouse gas emissions and the main source of consumption of fossil fuels, and such s...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the problem of uncertainty in the power consumption demand of the user end caused by the introduction of renewable energy in the existing smart grid terminal user power consumption scheduling problem, the present invention provides a terminal user power consumption scheduling strategy to reduce the user's power consumption. Electricity price and its fluctuation degree, under the premise of ensuring the power consumption demand of each electrical appliance, the reduction of electricity price fluctuation will further improve the user's satisfaction with electricity consumption, so that users can better grasp the household electricity consumption situation

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