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Optimal day-ahead load scheduling method based on total demand flexibility

A load scheduling, flexible technology, applied in the communication network, resources, marketing and other directions with energy trade/energy transmission authority, can solve the problem of lack of responsive load day-ahead optimization scheduling method, etc., to achieve the effect of refinement

Active Publication Date: 2020-09-15
HUZHOU ELECTRIC POWER SUPPLY CO OF STATE GRID ZHEJIANG ELECTRIC POWER CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is: the technical problem of the lack of a day-ahead optimal scheduling method for responsive load participation scheduling

Method used

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  • Optimal day-ahead load scheduling method based on total demand flexibility
  • Optimal day-ahead load scheduling method based on total demand flexibility
  • Optimal day-ahead load scheduling method based on total demand flexibility

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0037] An optimal day-ahead load scheduling method based on aggregate demand flexibility, such as figure 1 As shown, this embodiment includes the following steps:

[0038] Step S1, collect the household appliance load and total household load data of multiple users, and collect household appliance load and household total load data in a period of 15 minutes. Household appliances include air conditioners, electric water heaters, microwave ovens, hair dryers, washing machines, and computers.

[0039] Step S2, using some residential users as flexible resources, dividing flexible resources into transferable loads and cuttable loads, aggregating the total load, cuttable loads and transferable loads, and obtaining their aggregated maximum load curves and aggregated loads respectively Load minimum curve. The transferable load includes household appliances that work for a short time, and the load that can be cut includes household appliances that work for a long time or continuously...

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Abstract

The invention relates to the technical field of power distribution scheduling, in particular to an optimal day-ahead load scheduling method based on total demand flexibility, which comprises the following steps of: S1, acquiring household appliance loads of a plurality of users and total load data of the users; s2, taking part of resident users as flexible resources, dividing the flexible resources into transferable loads and reducible loads, and aggregating the total loads, the reducible loads and the transferable loads to obtain an aggregated load maximum value curve and an aggregated load minimum value curve respectively; s3, constructing a real-time electricity price model; and S4, constructing an optimization model of an objective function and a constraint condition of the optimal day-ahead load scheduling method based on the total demand, and solving the objective function to obtain the optimal day-ahead load scheduling method. The method has the substantive effects that the userdirectly participates in the power market through the real-time electricity price to realize the refinement of scheduling, so that the optimal day-ahead load scheduling scheme with lower cost can beobtained.

Description

technical field [0001] The invention relates to the technical field of power distribution dispatching, in particular to an optimal day-ahead load dispatching method based on total demand flexibility. Background technique [0002] Smart grid is a modern application system in the field of power energy management. A smart meter used in a smart grid can record the user's electricity load data at regular intervals, usually 1 hour, 30 minutes, 15 minutes or even 1 minute. For electricity consumers, these load data help to obtain their consumption behavior patterns, also known as load patterns. This load pattern can be used for consumer classification. In recent years, demand response has developed substantially, allowing electricity suppliers to achieve efficient energy control, flexible pricing and demand management according to load patterns and consumption categories. On the other hand, electricity end consumers can understand their load patterns by responding to electricity...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q30/02G06Q50/06H02J3/00
CPCG06Q10/06315G06Q10/06312G06Q30/0206G06Q30/0201G06Q50/06H02J3/008H02J2203/20Y04S10/50Y04S50/14Y04S50/16
Inventor 刘海峰刘强李磊王伟邢建旭卢峰郑松松石勇周敬嵩王春周佩祥
Owner HUZHOU ELECTRIC POWER SUPPLY CO OF STATE GRID ZHEJIANG ELECTRIC POWER CO LTD