CN-121981568-A - Evaluation method and device for time-of-use electricity price setting policy, electronic equipment and storage medium

CN121981568ACN 121981568 ACN121981568 ACN 121981568ACN-121981568-A

Abstract

The application provides an evaluation method and device of a time-of-use electricity price setting policy, electronic equipment and a storage medium. The method comprises the steps of obtaining historical load data in a reference period and load data to be evaluated in an evaluation period, enabling the reference period and the evaluation period to have homogeneous comparability, constructing a to-be-determined reference load curve and a to-be-evaluated load curve according to the historical load data and the to-be-evaluated load data, adjusting the to-be-determined reference load curve by utilizing a load adjustment coefficient to obtain the reference load curve, analyzing the to-be-evaluated load curve according to user industry response characteristics and the reference load curve, and calculating the following indexes including a net load transfer amount, a peak-valley optimization effect index, a response stability index and an industry differentiation evaluation matrix. According to the embodiment of the application, the interference of external factors such as natural fluctuation and seasonal variation of the total power consumption on the evaluation result is effectively eliminated by constructing the multidimensional reference load curve and introducing the load adjustment coefficient, the evaluation accuracy is high, and the anti-interference capability is strong.

Inventors

JU JIAN
FENG SEN
YANG YUQI
YIN QING
HE XIN
TU BIN

Assignees

国网陕西省电力有限公司营销服务中心(计量中心)

Dates

Publication Date: 20260505
Application Date: 20251229

Claims (11)

1. An evaluation method of a policy for time-of-use electricity price establishment, the method comprising: Acquiring historical load data in a reference period and load data to be evaluated in an evaluation period, wherein the reference period and the evaluation period have homogeneous comparability; respectively constructing a to-be-determined reference load curve and a to-be-evaluated load curve according to the historical load data and the to-be-evaluated load data; Adjusting the undetermined reference load curve by utilizing a load adjustment coefficient to obtain a reference load curve; Analyzing the load curve to be evaluated according to the user industry response characteristic and the reference load curve; And calculating at least one index of the net load transfer quantity, peak-valley optimization effect index, response stability index and industry differentiation evaluation matrix according to the analysis result.
2. The method according to claim 1, wherein the method further comprises: Acquiring actual total power consumption in an evaluation period and reference total power consumption in a reference period; and taking the ratio of the actual total power consumption in the evaluation period to the reference total power consumption in the reference period as a load adjustment coefficient.
3. The method of claim 1, wherein adjusting the pending reference load curve with a load adjustment factor to obtain a reference load curve comprises: Multiplying the points on the undetermined reference load curve by the load adjustment coefficient to obtain the reference load curve.
4. The method of claim 1, wherein the user industry response characteristics include a production rigid constraint industry characteristic, a flexible tuning industry characteristic, and an electricity usage flexible dominant industry characteristic, wherein resolving the load curve to be evaluated based on the user industry response characteristics and the baseline load curve comprises: calculating the net load transfer amount and peak-to-valley optimization effect index of the load curve to be evaluated under the condition that the user industry response characteristic is the flexible adjustment type industry characteristic; Calculating the load curve to be evaluated under the condition that the user industry response characteristic is the electricity utilization elasticity dominant type industry characteristic; And determining whether the net load transfer quantity, the peak-to-valley optimization effect index, the response stability index and the industry differentiation evaluation matrix of the load curve to be evaluated are all zero or not under the condition that the user industry response characteristic is the production rigidity constraint type industry characteristic, and determining the rigidity characteristic of the load curve to be evaluated under the condition that the net load transfer quantity, the peak-to-valley optimization effect index, the response stability index and the industry differentiation evaluation matrix of the load curve to be evaluated are all zero.
5. The method of claim 4, wherein the expression of the amount of payload transfer is as follows: ; Wherein, the Representing the amount of payload transfer; Representing the actual electrical load at time t; The reference load at time t is indicated.
6. The method of claim 4, wherein the peak-to-valley optimization effect index is expressed as follows: ; Wherein, the Peak Gu Chalv representing the actual load curve; The peak-to-valley difference ratio of the reference load curve is shown.
7. The method of claim 1, wherein obtaining historical load data over a benchmark period and load data to be assessed over an assessment period comprises: Preprocessing the historical load data and the load data to be evaluated, wherein the preprocessing comprises a data cleaning operation.
8. The method of claim 1, wherein the step of determining the position of the probe comprises, The reference load curve comprises at least one of a typical daily reference curve, an industry average reference curve and a similar user group reference curve.
9. An evaluation device of a time-of-use electricity price formulation policy, the device comprising: the system comprises an acquisition module, a comparison module and a comparison module, wherein the acquisition module is used for acquiring historical load data in a reference period and load data to be evaluated in an evaluation period, and the reference period and the evaluation period have homogeneous comparability; the construction module is used for respectively constructing a to-be-determined reference load curve and a to-be-evaluated load curve according to the historical load data and the to-be-evaluated load data; The adjustment module is used for adjusting the undetermined reference load curve by utilizing a load adjustment coefficient so as to obtain a reference load curve; The analysis module is used for analyzing the load curve to be evaluated according to the response characteristics of the user industry and the reference load curve; and the output module is used for calculating at least one index of a core effect index, a peak-valley optimization effect index, a response stability index and an industry differentiation evaluation matrix according to the analysis result.
10. An electronic device, the electronic device comprising: A memory and a processor, the memory having stored thereon a computer program to be run by the processor, which when run by the processor causes the processor to perform the method of assessing a time-of-use electricity price formulation policy as claimed in any one of claims 1 to 8.
11. A storage medium having stored thereon a computer program which, when executed by a processor, causes the processor to perform the method of assessing a time-of-use electricity price formulation policy according to any one of claims 1 to 8.

Description

Evaluation method and device for time-of-use electricity price setting policy, electronic equipment and storage medium Technical Field The application relates to the technical field of time-of-use electricity prices, in particular to an evaluation method and device of a time-of-use electricity price setting policy, electronic equipment and a storage medium. Background With the advancement of dual carbon targets and the acceleration of new power system construction, the importance of power Demand Side Management (DSM) is increasingly highlighted. The time-of-use electricity price (TOU) is used as the most core price type demand response means, and the user is guided to adjust electricity consumption behaviors through peak-to-valley electricity price difference, so that the purposes of peak clipping and valley filling, optimizing the load structure of the power grid and improving the energy utilization efficiency are achieved. However, the current evaluation method for implementing the effect of the time-of-use electricity price policy has the problems of rough structure, single dimension, fuzzy conclusion and the like, and is difficult to accurately evaluate the time-of-use electricity price policy. Therefore, there is an urgent need for an evaluation method of a time-of-use electricity price formulation policy capable of overcoming the above-mentioned problems. Disclosure of Invention The present application has been made keeping in mind at least one of the above problems occurring in the prior art. According to an aspect of the present application, there is provided an evaluation method of a time-of-use electricity price formulation policy, the method comprising: Acquiring historical load data in a reference period and load data to be evaluated in an evaluation period, wherein the reference period and the evaluation period have homogeneous comparability; respectively constructing a to-be-determined reference load curve and a to-be-evaluated load curve according to the historical load data and the to-be-evaluated load data; Adjusting the undetermined reference load curve by utilizing a load adjustment coefficient to obtain a reference load curve; Analyzing the load curve to be evaluated according to the user industry response characteristic and the reference load curve; And calculating at least one index of the net load transfer quantity, peak-valley optimization effect index, response stability index and industry differentiation evaluation matrix according to the analysis result. In some embodiments, the method further comprises: Acquiring actual total power consumption in an evaluation period and reference total power consumption in a reference period; and taking the ratio of the actual total power consumption in the evaluation period to the reference total power consumption in the reference period as a load adjustment coefficient. In some embodiments, adjusting the pending reference load curve with a load adjustment factor to obtain a reference load curve comprises: Multiplying the points on the undetermined reference load curve by the load adjustment coefficient to obtain the reference load curve. In some embodiments, the user industry response characteristics include a production rigid constraint industry characteristic, a flexible regulation industry characteristic, and a power consumption elasticity dominant industry characteristic, and resolving the load curve to be evaluated according to the user industry response characteristics and the reference load curve, including: calculating the net load transfer amount and peak-to-valley optimization effect index of the load curve to be evaluated under the condition that the user industry response characteristic is the flexible adjustment type industry characteristic; Calculating the load curve to be evaluated under the condition that the user industry response characteristic is the electricity utilization elasticity dominant type industry characteristic; And determining whether the net load transfer quantity, the peak-to-valley optimization effect index, the response stability index and the industry differentiation evaluation matrix of the load curve to be evaluated are all zero or not under the condition that the user industry response characteristic is the production rigidity constraint type industry characteristic, and determining the rigidity characteristic of the load curve to be evaluated under the condition that the net load transfer quantity, the peak-to-valley optimization effect index, the response stability index and the industry differentiation evaluation matrix of the load curve to be evaluated are all zero. In some embodiments, wherein the expression of the payload transfer amount is as follows: ; Wherein, the Representing the amount of payload transfer; Representing the actual electrical load at time t; The reference load at time t is indicated. In some embodiments, wherein the expression of the peak-to-valley optimization effect index is