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A method for optimizing the operation of an electro-thermal coupling integrate energy system

An integrated energy system, operation optimization technology, applied in the direction of instruments, data processing applications, forecasting, etc., can solve the problems of model resolution affecting the accuracy of operation optimization results, affecting user comfort, and adverse effects of integrated energy system operation, etc.

Active Publication Date: 2019-01-11
SOUTHEAST UNIV
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  • Claims
  • Application Information

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Problems solved by technology

[0004] However, the current operation optimization methods for electrothermal coupling integrated energy systems do not fully consider the dynamic process of the heating network and heat load within the dispatching instruction cycle, because the physical process of the heating network and heat load is described by (partial) differential equations. It is a dynamic process, so its model resolution has a certain impact on the accuracy of operation optimization results and even affects user comfort, which has a negative impact on the operation of the integrated energy system

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  • A method for optimizing the operation of an electro-thermal coupling integrate energy system
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Embodiment 1

[0071] An electrothermal coupling integrated energy system operation optimization method, such as Figure 4 shown, including the following steps:

[0072] S1, establish the objective function for the operation optimization of the electrothermal coupling integrated energy system, the objective function includes the cost of purchasing natural gas for the integrated energy system, the cost of purchasing electricity from the grid for the integrated energy system, and the income from selling electricity to the grid, and the cost of natural gas is The cost of purchasing electricity from the grid for the integrated energy system is The income of the integrated energy system from selling electricity to the grid is

[0073] Among them, Δt d Scheduling instruction cycles for the integrated energy system; t d is the scheduling period; T d for t d collection; c gas , c grid,s Respectively, the calorific value price of natural gas, the price of electricity purchased from the g...

Embodiment 2

[0124] Take an electrothermal coupling integrated energy system as an example. Such as Figure 5 As shown, the system includes a 5MW gas turbine (GT), a 5MW gas boiler (GB), a fan with a capacity of 1.5MW and a heat storage tank with a capacity of 5MWh. The heating network consists of 6 nodes, of which node 1 is connected to the CHP system, and nodes 4, 5 and 6 are respectively connected to heat loads. The running optimization period is 24h. Heat network and heat load model resolution Δt in the operation optimization process d The values ​​of are 1h, 30min, and 10min, a total of three scenarios.

[0125] The operating costs of the system in several scenarios are shown in Table 1. Taking the heat load at node 5 as an example, the optimized results and actual simulation results of the heat medium temperature at node 5 are as follows: Figure 6 As shown, the optimization results of the indoor temperature of the building at this node and the actual simulation results are as fo...

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Abstract

A method for optimizing the operation of an electro-thermal coupling integrate energy system is disclosed. An objective function and constraint conditions of the operation optimization of the electro-thermal coupled integrated energy system are established, so as to establish the operation optimization model of the electro-thermal coupling comprehensive energy system, then the simulation model ofheat network and heat load state is established, taking the temperature of heat medium injected into the heating network in the operation optimization result as the input to calculate the actual stateof the heating network and heat load, at last, the operation optimization flow of the electrothermal couple integrated energy system is established, the results of simulation model are compared withthose of optimization model, and error values are judged. As the error exceeds the allowable range, the resolution of the heating network and the heat load model is reduced and the above steps are repeated, otherwise, the method stops, thereby determining the appropriate resolution of the heat network and the heat load model. The method can fully consider the slow dynamic process of the change ofthe heat network and the heat load state in the dispatching instruction cycle, and effectively ensures the user comfort while realizing the efficient and economical operation of the system.

Description

[0001] Field [0002] The invention belongs to the field of integrated energy systems, and in particular relates to an operation optimization method for an electrothermal coupling integrated energy system. Background technique [0003] With the increasingly prominent environmental issues and energy security issues, how to improve the overall energy efficiency and build a green and sustainable energy system has become an important issue that needs to be solved urgently in the current energy field. The integrated energy system takes electricity as the core, integrates various energy sources such as gas and heat, and aims to achieve efficient energy utilization and renewable energy consumption as the fundamental purpose. It can organically coordinate multiple links such as energy production, transmission and distribution, and utilization. Its efficient Energy utilization efficiency and good renewable energy acceptance environment make it have a bright prospect in the development ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 顾伟陆帅姚帅潘光胜吴晨雨
Owner SOUTHEAST UNIV
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