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A national-provincial two-layer electric energy alternative planning model and an algorithm framework

A technology of electric energy replacement and planning model, applied in computing, instrumentation, data processing applications, etc., can solve problems such as poor operability, poor coherence, and contrary to lean planning concepts, and achieve enhanced operability and good coherence Effect

Active Publication Date: 2018-12-11
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 national-provincial two-tier electric energy replacement planning model and algorithm framework

Method used

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  • A national-provincial two-layer electric energy alternative planning model and an algorithm framework
  • A national-provincial two-layer electric energy alternative planning model and an algorithm framework
  • A national-provincial two-layer electric energy alternative planning model and an algorithm framework

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Experimental program
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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 released 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 involved 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 promote the electric energy in the jth field to replace 10,000 kWh of electricity for the 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 func...

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 power index adjusted to province i, y=[y 1 ,y 2 ,...,y n ] represents the provincial electric energy alternative 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 release alternative power indicators for province i according to the plan, the unit is 100 million kWh; in order to complete the planned indicators of the headquarters, the adjusted total planned amount must be greater than the initial planned total amount of the headquarters, so the constraint must be satisfi...

Embodiment 3

[0066] refer to figure 1 , the present invention also discloses the algorithm framework of the above-mentioned national-provincial two-layer electric energy replacement 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 to the lower layer model is iterated from step (2) until the end of the algorithm.

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Abstract

The invention discloses a national-provincial two-layer electric energy alternative planning model and a algorithm framework, the model including an upper model and a lower model, the upper layer model first publishes information to the lower layer model, the lower level model reacts rationally according to its own interests under the given information of the upper level model, and then the uppermodel makes the decision according to the feedback information of the lower model. The algorithm framework is as follows: setting an initial parameter x<0>, and making x<0> be equal to xi, wherein inverted A belongs to 1, 2,..., n ; optimizing and solving the lower model; solving the upper model; calculating F (x), and if the absolute value of the difference between F(x) and the previous round is smaller than the preset positive number threshold [xi], ending the algorithm; otherwise, iterating the xi feedback lower model from step (2) to the end of the algorithm. The invention has the advantages of strong operability, good consistency and the like.

Description

technical field [0001] The invention relates to the field of energy planning, in particular to a national-provincial two-layer electric energy replacement planning model and algorithm framework. 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 endowment 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 the esta...

Claims

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Application Information

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Patent Type & Authority Applications(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