A method for evaluating power grid regional demand side response potential

By analyzing the adjustable resources and responsiveness of key response targets in the power grid and assessing their peak shaving and valley filling potential, the problem of inaccurate demand-side response forecasting in the power grid was solved, and stable operation and resource optimization of the power grid were achieved.

CN115204723BActive Publication Date: 2026-07-07STATE GRID SHAANXI ELECTRIC POWER CO LTD ECONOMIC & TECHNICAL RESEARCH INSTITUTE
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
STATE GRID SHAANXI ELECTRIC POWER CO LTD ECONOMIC & TECHNICAL RESEARCH INSTITUTE
Filing Date
2022-07-28
Publication Date
2026-07-07

AI Technical Summary

Technical Problem

Existing technologies are unable to accurately predict the demand-side response of target cities, resulting in electricity consumption guidance schemes that do not meet actual needs. This may lead to insufficient or excessive peak shaving, affecting the stable operation of the power grid.

Method used

By analyzing the total amount and capacity of adjustable resources in various fields, key response targets are identified, such as heating and cooling loads, discontinuous industrial production loads, user-side energy storage and electric vehicle charging loads. Their responsive resources and responsiveness are assessed, and their peak shaving and valley filling potential is calculated.

Benefits of technology

It can accurately predict the response data of target cities, formulate effective electricity consumption guidance plans, achieve peak shaving and valley filling effects, and improve the operational stability and resource utilization efficiency of the power grid.

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    Figure CN115204723B_ABST
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Abstract

The present application relates to the technical field of power grid management, in particular to a kind of power grid area demand side response potential evaluation method, comprising the following steps: S1, in the peak period of power grid, the total amount of adjustable resource and adjustable capacity influenced by demand side response potential in each field are analyzed, and key response object is determined;S2, according to the characteristics of each key response object, the responsive resource of each key response object is analyzed;The responsive resource includes peak clipping resource and valley filling resource;S3, according to the response characteristics of each key response object, the uncertainty of response behavior and response degree are analyzed;S4, according to the responsive resource and response degree of each key response object, the response potential of each key response object is estimated and evaluated;The response potential includes peak clipping potential and valley filling potential.The present application can more accurately estimate the response data of target city, and it is convenient for relevant departments to formulate the power consumption guidance scheme that can achieve the purpose of peak clipping and valley filling.
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