Integrated energy system event-driven simulation method based on decomposition method

An integrated energy system and event-driven technology, applied in design optimization/simulation, special data processing applications, instruments, etc., can solve problems such as aggravating environmental pollution, increasing carbon emissions, inability to play complementary interactive characteristics and cascade utilization potential, etc. Achieve the effect of strong coupling of working conditions, high precision and rapid solution

Pending Publication Date: 2021-11-26
SOUTHEAST UNIV
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  • Application Information

AI Technical Summary

Benefits of technology

This patented technology allows for better understanding about how power systems work together more efficiently than previously possible due to its ability to simulate complex situations with multiple variables at once without being too complicated or time consuming. These models can be used during different stages of development such as designing new components that improve performance or testing them on actual production devices.

Problems solved by technology

This patented technical problem addressed in this patents relates to integrative energy systems being developed based around an objective function called integration or synergy, where different modes work together more efficiently than each other without compromising one another. Existing methods either require significant investment effort or result in poor performance due to interference from external factors like wires or pipelines. Therefore, they may lead to issues affecting both economic viabilities and environment quality.

Method used

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  • Integrated energy system event-driven simulation method based on decomposition method
  • Integrated energy system event-driven simulation method based on decomposition method
  • Integrated energy system event-driven simulation method based on decomposition method

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Experimental program
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Embodiment

[0078] Embodiment Gas network failure: The energy coupling node of the gas network is affected by the limitation of gas supply, and the gas mass flow rate is limited to a fixed value less than the conventional demand in 2000-2600s. The simulation process obtained by event driving is as follows: Figure 4 As shown, the simulation steps are as follows:

[0079] Step 1: Build an integrated energy system;

[0080] Step 2: Input heating network, gas network, grid topology, pipeline, equipment parameters and load;

[0081] Step 3: Divide the system into power grid, heating network, gas network modules, and equipment modules such as steam-water heat exchangers, water-water heat exchangers, and electric boilers.

[0082] Step 4: It is found that there is a gas network fault in the system, and the fault state simulation is carried out.

[0083] Step 5: The gas network can still be simulated when the output of a certain node is limited, so first solve the parameter changes of the gas ne

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Abstract

The invention discloses an integrated energy system event-driven simulation method based on a decomposition method, and belongs to the field of energy system simulation. The integrated energy system event-driven simulation method based on the decomposition method comprises: S1, establishing an electric, gas and heat energy network model and an equipment model; S2, establishing an integrated energy system model, and dividing the model into different modules according to the energy network type and the equipment characteristics; and S3, obtaining system parameters, system normal state loads and system fault conditions, determining a solving sequence of each module according to different fault types, independently solving the module, and transmitting parameters to the next module until the system is solved. According to the method, the characteristics of strong coupling of the integrated energy system and frequent parameter interaction between equipment and networks in dynamic simulation are fully considered, the whole system is divided into different modules by adopting a decomposition method, the solving sequence of the modules is determined according to different fault positions, an event-driven simulation strategy is realized, and the simulation efficiency is effectively improved.

Description

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Claims

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Application Information

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Owner SOUTHEAST UNIV
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