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Multi-time scale electricity trade decision-making method and system in electric power company

A technology with multi-time scales and decision-making methods, which is applied in the field of multi-time-scale transaction power decision-making in electricity sales companies, and can solve problems such as complex decision-making methods and large data requirements

Inactive Publication Date: 2018-08-21
BEIJING KEDONG ELECTRIC POWER CONTROL SYST +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For large-scale electricity consumption transactions, the area involved in the transaction is relatively wide, the decision-making method is complex, and the data demand is large. It is not suitable for electricity sales companies to participate in bidding transactions under the new form of distribution network in a small area.

Method used

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  • Multi-time scale electricity trade decision-making method and system in electric power company
  • Multi-time scale electricity trade decision-making method and system in electric power company
  • Multi-time scale electricity trade decision-making method and system in electric power company

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Effect test

Embodiment 1

[0054] First of all, it should be noted that the decision-making method proposed in the embodiment of the present invention mainly requires the following historical data:

[0055] (1) Historical year / season / month power purchase data of electricity sales companies;

[0056] (2) Historical annual / quarterly / monthly power generation data of distributed power;

[0057] (3) Historical annual / seasonal / monthly electricity consumption data of electric vehicles;

[0058] (4) Electric energy replaces historical year / season / month electricity consumption data.

[0059] The decision-making process of trading electricity is as follows:

[0060] (1) Obtain the historical electricity consumption of traditional loads based on historical transaction purchase electricity, distributed power generation, electric vehicle electricity consumption, and electric energy substitution electricity consumption;

[0061] (2) Using different forecasting methods to obtain the predicted value of electricity c...

Embodiment 2

[0086] Refer to the decision-making process of trading electricity image 3 :

[0087] Step S201: Obtain the historical electricity consumption of traditional loads according to historical transaction electricity purchases, distributed power generation, electric vehicle electricity consumption, and electric energy substitution electricity consumption;

[0088] Step S202, using different forecasting methods to obtain forecasted values ​​of electricity consumption of traditional loads under different time scales;

[0089] Step S203, according to the growth rates of distributed power supply, electric vehicles and electric energy replacement, respectively obtain their respective power forecast values ​​(new energy power consumption forecast values);

[0090] Step S204, based on the predicted value of electricity consumption of traditional loads, taking into account the predicted value of distributed power generation, electric vehicles and electric energy replacement electricity, ...

Embodiment 3

[0151] refer to figure 2 , the method steps can be specifically described as:

[0152] Step 1: Determine the longest time scale for electricity sales companies to participate in bidding transactions. For reference, the time scales include annual, quarterly, and monthly. Generally, the year is taken as the longest time scale for electricity sales companies to participate in bidding transactions.

[0153] Step 2: Use the average growth rate method to complete the annual power consumption of traditional loads according to formulas (1)-(2), and complete the annual power generation of distributed power sources, annual power consumption of electric vehicles, and annual power consumption of electric energy replacement loads according to the incremental method. forecasting of electricity consumption, and calculate the predicted value and reliability of the total annual electricity consumption through formulas (3)-(4), determine the annual transaction electricity, and provide a reliab...

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Abstract

The invention provides a multi-time scale electricity trade decision-making method and system in an electric power company. The method comprises the steps that historical data is acquired, and the longest time scale of a competitive price transaction participated by the electric power company is determined; according to the historical data, traditional load electricity consumption is predicated toobtain first electricity consumption predicated data, and non-traditional load / equipment electricity consumption is predicated to obtain second electricity consumption predicated data; according to the first electricity consumption predicated data and the second electricity consumption predicated data, a long time scale competitive price transaction of the longest time scale is participated, andit is judged whether or not participating in the non-long time scale competitive price transaction is needed to obtain an electricity consumption trade decision. Based on the scale load electricity consumption requirements at different time, the method and system consider electricity requirements of non-traditional power supplies and loads and provide accurate references for different time scale electricity purchasing transactions participated by the electric power company under the condition of a new shape power distribution network.

Description

technical field [0001] The invention relates to the technical field of electricity sales and transactions, in particular to a method and system for making decisions on electricity sales in multiple time scales for electricity sales companies. Background technique [0002] With the continuous expansion of the scale of the power system, the structure and operation mode of the power grid have become more and more complex. Effectively improving and ensuring the safety and reliability of the power system, the quality of power supply and the economy of operation has become an important goal of the development of the power system. The importance of power consumption prediction is becoming more and more prominent. [0003] Under the market condition of separation of power distribution and sales, traditional power supply companies, power generation companies, and social asset enterprises can apply for and invest in the establishment of electricity sales companies to carry out electri...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00G06Q10/06G06Q50/06
CPCG06Q10/063G06Q50/06H02J3/003H02J3/008H02J2203/20Y04S10/50
Inventor 王蕾史述红李竹高春成袁明珠刘永辉方印王海宁王清波承林张倩汪涛代勇王春艳张琳习培玉吕文涛刘杰刘冬袁晓鹏吴雨健吕俊良李瑞肖万舒路董武军李守保陶力赵显谭翔
Owner BEIJING KEDONG ELECTRIC POWER CONTROL SYST
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