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
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
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...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


