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Planning Method and Algorithm Framework Based on Two-Layer Electric Energy Alternative Planning Model

A technology of electric energy replacement and planning model, which is applied in calculation, data processing application, forecasting, etc., can solve problems such as poor operability, poor continuity, and contrary to the concept of lean planning, and achieve enhanced operability and good continuity Effect

Active Publication Date: 2022-02-15
国网江西省电力有限公司经济技术研究院 +3
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the shortcomings of poor operability, poor coherence and the concept of lean planning in the background technology, and propose a planning method and algorithm framework based on a two-layer electric energy replacement planning model

Method used

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  • Planning Method and Algorithm Framework Based on Two-Layer Electric Energy Alternative Planning Model
  • Planning Method and Algorithm Framework Based on Two-Layer Electric Energy Alternative Planning Model
  • Planning Method and Algorithm Framework Based on Two-Layer Electric Energy Alternative Planning Model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] The i-th provincial electric energy alternative planning model in the lower model can be described as:

[0044]

[0045] s.t.L ij ≤y ij ≤ U ij ,1≤j≤m

[0046]

[0047]

[0048]

[0049] is the alternative power index issued by the headquarters for the i-th province according to the plan, and the unit is 100 million kWh; x i is the headquarters decision variable; y i is the amount of electric energy substitution planned by the i-th province; m is the number of industries participating in electric energy substitution;

[0050] the y ij Plan the electric energy substitution amount of the jth field for the i province;

[0051] k ij The cost coefficient that needs to be paid to replace 10,000 kWh of electricity in the jth field for i province;

[0052] L ij and U ij are the lower limit and upper limit of the electric energy replacement quantity in the jth field of the i province, respectively.

[0053] The objective function of each province is to hop...

Embodiment 2

[0058] The above model can be described as:

[0059]

[0060]

[0061] Among them, n represents the number of participation in provincial electric energy alternative planning; x=[x 1 ,x 2 ,...,x n ] represents the electric energy to be planned to replace the electric quantity vector, x i is the decision variable of the headquarters, that is, according to the planning decision y of province i i Feedback the alternative electric quantity index adjusted to province i, y=[y 1 ,y 2 ,...,y n ] represents the provincial electric energy substitution planning vector, y i It is set by the i-th provinces through the optimization of the lower model, In order for the headquarters to issue an alternative power index to province i according to the plan, the unit is 100 million kWh; in order to complete the planned index of the headquarters, the adjusted planned total amount must be greater than the initial planned total amount of the headquarters, so the constraint must be sati...

Embodiment 3

[0066] refer to figure 1 , the present invention also discloses the algorithm framework of the above-mentioned planning method based on the two-layer electric energy substitution planning model, as follows:

[0067] (1) Set initial parameters and order

[0068] (2) For the i-th province, optimize and solve the lower model to get y i ,

[0069] (3) put y i Feedback to the upper model, optimize and solve the upper model, and get x i ,

[0070] (4) Calculate F(x), if the absolute value of the difference from the previous round of F(x) is less than the preset positive threshold ξ, the algorithm ends; otherwise, set x i Feedback the lower layer model from step (2) for loop iterations until the end of the algorithm.

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Abstract

The invention discloses a planning method and an algorithm framework based on a two-layer electric energy replacement planning model, including an upper model and a lower model. The upper model first releases information to the lower model, and the lower model is based on the information given by the upper model. Make a corresponding rational response in accordance with its own interests, and then the upper-level model makes a decision in line with the overall interests based on the feedback information from the lower-level model. The algorithm framework is as follows: set the initial parameters and optimize the solution to the lower-level model; solve the upper-level model; calculate F(x) , if the absolute value of the difference from the previous round of F(x) is less than the preset positive threshold ξ, the algorithm ends; otherwise, set x i Feedback the lower layer model from step (2) for loop iterations until the end of the algorithm. The invention has the advantages of strong operability, good continuity and the like.

Description

technical field [0001] The invention relates to the field of energy planning, in particular to a planning method and algorithm framework based on a two-layer electric energy substitution planning model. Background technique [0002] Electric energy substitution can increase the proportion of electric energy in terminal energy consumption, increase the proportion of thermal coal in coal consumption, increase the proportion of renewable energy in electricity consumption, and reduce air pollutant emissions. Adhere to the government as the leading role, give full play to the optimal allocation of power grid resources, and combine various Regional energy resource endowments and energy consumption characteristics, according to the technical and economic characteristics of different electric energy substitution methods, adapt measures to local conditions, actively promote, deeply implement electric energy substitution, continuously expand the application field and scope, and promote...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/0631G06Q10/067G06Q50/06
Inventor 朱文广洪绍云熊轲熊宁肖园王洁陈会员胡娟雷涛单葆国张煜郑鹏方朝雄林毅
Owner 国网江西省电力有限公司经济技术研究院