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Heat supply network model optimization method based on heat supply pipeline network topology transformation

A heat supply pipeline and network model technology, which is applied in the field of combined electric heating dispatching model, can solve the problems of difficulty in applying multi-agent privacy protection, increasing the communication burden of dispatching process, and the inability to provide physical information parameters, so as to reduce the complexity of the solution and increase the operation Flexibility, the effect of simplifying the scheduling problem

Active Publication Date: 2021-10-19
CHINA THREE GORGES UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the full physical model of the heating network is privately owned by each heating company, the physical information parameters required for the node model of the heating network in the combined electricity and heat dispatching cannot be provided to the power system operator or other heating companies, so that centralized electricity and heating combined scheduling cannot be performed
Algorithms such as Benders decomposition algorithm and alternating direction multiplier method are often used in the existing technology to calculate the electricity and heat subjects separately. Although the interaction privacy problem between the electricity and heat subjects is solved, it is difficult to apply to different heat companies in the heat system. The above-mentioned coordinated scheduling method will also increase the communication burden of the scheduling process and reduce the solution efficiency
On the other hand, the heating area of ​​a single heating company can reach several hundred to tens of millions of square meters, and the heating pipe network can reach tens to hundreds of kilometers. In the middle, the large-scale pipeline model will generate a huge amount of constraints on the state of the heating network, which makes the solution of the scheduling model complex

Method used

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  • Heat supply network model optimization method based on heat supply pipeline network topology transformation
  • Heat supply network model optimization method based on heat supply pipeline network topology transformation
  • Heat supply network model optimization method based on heat supply pipeline network topology transformation

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Experimental program
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Embodiment 1

[0217] use as figure 2 The district heating system with 30 pipes is shown, and its pipe parameters are shown in Table 1.

[0218] Table 1 Parameters of central heating system I and II heating pipelines

[0219]

[0220]

[0221] In order to analyze the effect of the method of the present invention under different simplification thresholds so as to select the simplification threshold that best meets the needs of decision makers, the present invention establishes the following approximate equivalent model:

[0222] Model 1: The original heating network model of area I, which contains 30 pipes and 17 loads.

[0223] Model 2: Equivalent branchless model with 30 pipes.

[0224] Models 3-7: Approximate equivalent models when the simplified threshold E is equal to 15, 10, 8, 6, 5.

[0225] The simplified results of models 1-7 are shown in Table 2, where the time delay part is the time delay from the heat source to the load node 6. Compared with model 1, model 2 only carrie...

Embodiment 2

[0238] One IEEE-30-node power system and two 30-node district heating systems are used to establish an electric-thermal comprehensive energy system. The system structure is as follows Figure 5 shown. The power supply type and unit parameters of the system are shown in Table 5-7, where the central heating system I is connected to the power system at node 2 via CHP unit 1, and the central heating system II and power system node 13 are connected by CHP unit 2 connected. The calculation example is day-ahead scheduling, the scheduling period is 24h, the scheduling period is 1h, and the time resolution of the heating network model is 5min. The system electric load, the total heat load of the district heating system and the predicted maximum output of wind power are as follows: Figure 6-Figure 8 As shown, the heating network pipeline parameters are shown in Table 1, and the heat load of each load node is distributed to the total heat load according to the ratio of Table 8.

[02...

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Abstract

The invention discloses a heat supply network model optimization method based on heat supply pipeline network topological transformation. The method comprises the following steps: calculating working medium transmission time delay of a branch pipeline at each node of a heat supply pipeline network; according to the sequence of transmission time delays from small to large, connecting and combining the branch pipelines at all the nodes in series into one pipeline; calculating pipeline parameters of the combined pipeline; judging whether the heat supply pipeline network has branch pipelines or not, if yes, repeating the previous steps, and if not, setting a simplified threshold value; integrating the pipelines with no branch pipelines flowing out of the nodes at the two ends into a new node; calculating pipeline parameters of the integrated pipeline; judging whether the number of the pipelines is smaller than or equal to a simplification threshold value E, if yes, obtaining a heat supply pipeline network model finally meeting the simplification requirement, and if not, repeating the previous steps. According to the method, heat supply network simplification is realized, and the data dimension of a heat supply network model in electric heating combined dispatching is reduced; and the method can effectively reduce the solving complexity of large-scale electric heating joint scheduling, and improves the solving efficiency.

Description

technical field [0001] The invention relates to the technical field of electricity-heat combined dispatching models, in particular to a heating network model optimization method based on heating pipeline network topology transformation. Background technique [0002] In recent years, under the leadership of the national plan of "vigorously developing new energy" and "promoting central heating", my country's "Three Norths" (Northeast, North China, and Northwest) regions are forming energy sources with high proportions of wind power and high proportions of combined heat and power units. structure. Uncertain wind power output and the severe wind curtailment problem caused by the heat-fixed mode of cogeneration units make the traditional deterministic electric-thermal separation operation system begin to coordinate the electric-thermal integration of electric energy and thermal energy production and consumption in a wider range. Energy system transformation. In order to maintain...

Claims

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Application Information

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IPC IPC(8): G06F30/18G06F30/17G06F30/20G06Q50/06G06F111/04G06F113/14G06F119/08
CPCG06F30/18G06F30/17G06F30/20G06Q50/06G06F2111/04G06F2113/14G06F2119/08Y02E10/76
Inventor 张磊马宇飞向紫藤叶婧岳东张赟宁黄悦华李振华刘颂凯杨楠张涛薛田良程江洲
Owner CHINA THREE GORGES UNIV