Residential quarter power load control method and device based on non-invasive power consumption data

Abstract

The invention discloses a residential quarter power load control method and device based on non-invasive power consumption data. The method comprises steps of inputting normalized data into an LSSVM model based on digitized electric equipment operation states, obtaining the operation states of all electric equipment in a future period of time, and combining the unit time power consumption of the electric equipment in a starting state and a continuous state to form a short-term load prediction curve; dividing a power load into a transferable load, a reducible load and a rigid load for the electric equipment in a stop state according to scheduling potential requirements, and constructing a power consumption curve of a reducible load; and forming a peak evaluation line of day-ahead schedulingby combining a short-term load prediction curve and a power consumption curve, and applying the peak evaluation line to the day-ahead scheduling of a cell so that safety of the circuit load is improved. The device comprises an electric equipment selection unit, a non-intrusive power load multi-target decomposition unit, a datamation operation state unit and an LSSVM prediction unit.

Description

technical field [0001] The invention relates to the technical field of power data decomposition and forecasting, and in particular to a method and device for controlling power loads in residential quarters based on non-intrusive power consumption data. Background technique [0002] Monitoring the energy consumption information of household appliances can help decision makers and users understand the composition, mode and characteristics of household electrical energy consumption, thereby helping decision makers formulate energy-saving and emission reduction policies and guide users to rationally arrange the use of electrical equipment. [0003] Non-intrusive load monitoring only installs monitoring instruments at the entrance of the power grid, and uses algorithms to analyze the collected total electricity consumption information to monitor the electricity consumption status of each electrical equipment under it. For large-scale deployments, non-intrusive load monitoring sys...

AI Technical Summary

Problems solved by technology

[0005] However, in the existing methods, few people combine non-intrusive power load decomposition technology with load forecasting technology to improve the performance of load analysis, and then realize the prediction of power dispatching potential

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