Electric hot water multi-energy-flow cooperative scheduling method based on convex optimization

A collaborative scheduling, electric hot water technology, applied in design optimization/simulation, electrical digital data processing, instrumentation, etc., can solve problems such as increasing model complexity, complex thermal and hydraulic physical characteristics, and threats to the safe and stable operation of the system

Active Publication Date: 2020-06-02
SOUTHEAST UNIV
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  • Summary
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  • Claims
  • Application Information

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Problems solved by technology

The physical characteristics of thermal power and hydraulic power in a heat network are complex, and the coupling of the two further increases the complexity of the model. Therefore, the coordination of electricity, thermal power, and hydraulic power in a multi-energy flow system has become a very challenging problem.
If there is no effective coordinated dispatch of electric hot water, the dispatch plan may be physically infeasible, which will pose a threat to the safe and stable operation of the system, and will also affect the economics of system operation.

Method used

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  • Electric hot water multi-energy-flow cooperative scheduling method based on convex optimization
  • Electric hot water multi-energy-flow cooperative scheduling method based on convex optimization
  • Electric hot water multi-energy-flow cooperative scheduling method based on convex optimization

Examples

Experimental program
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Effect test

Embodiment 1

[0106] This embodiment is applied in a multi-energy flow system, and the structure of the multi-energy flow system is as follows figure 1 shown.

[0107] Coordinated dispatching method of multi-energy flow of electric hot water based on convex optimization, such as figure 2 shown, including the following steps:

[0108] S1. Establish a non-convex programming model for coordinated scheduling of electric and hot water multi-energy flows:

[0109] S11, establish the objective function for the coordinated scheduling of electric and hot water multi-energy flows:

[0110]

[0111] Among them, t is the scheduling period; T is the set of scheduling periods; is the fuel cost in period t; is the interaction cost between the system and the power grid during the t period. is the system operation and maintenance cost in period t.

[0112] The calculation formula is as follows:

[0113]

[0114] Among them, i is the grid node number; Ι bus is the grid node label set; Δt ...

Embodiment 2

[0307] The multi-energy flow system of this embodiment consists of a 9-node power distribution system and an 8-node heating system, such as image 3 shown. The system includes a 2MW gas turbine, a 2MW electric boiler, a 1MW fan, a 200kWh battery, a 1MWh heat storage tank, and a 10kW circulating water pump. Heat network nodes 5, 6, 7 and 8 are connected to heat loads respectively, the operation optimization period is 24h, and the scheduling time interval is 1h. The parameter is set to ρ (0) = ρ max =10 4 ,δ 1 =10 -4 ,δ 2 =10 -2 .

[0308] Cooperative scheduling is carried out according to the steps of the present invention, and the convergence index value in the algorithm iteration process is as follows Figure 4 shown. gaps 1 and GAP 2 The convergence conditions are satisfied at the 17th and 13th times respectively, so the number of iterations required by the algorithm is 13 times. The total solution time is 31.23s. However, none of the existing nonlinear solvers c...

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Abstract

The invention discloses an electric hot water multi-energy-flow cooperative scheduling method based on convex optimization. An electric hot water multi-energy-flow cooperative scheduling non-convex programming model is established; a convex relaxation and approximate processing method is adopted to convert a non-convex programming model into a second-order cone programming model, a penalty function method is adopted to construct a strengthening model to reduce relaxation errors, and finally a scheduling result is obtained through iterative solution of the model, so that collaborative optimization of the electric hot water heterogeneous energy flow is realized, and the safety and economy of system operation are improved.

Description

[0001] Field [0002] The invention belongs to the field of multi-energy flow system scheduling, and in particular relates to a convex optimization-based multi-energy flow coordinated scheduling method for electric hot water. Background technique [0003] The multi-energy flow system integrates multiple energy subsystems such as gas, electricity, heating, and transportation. Through the mutual coordination among multiple energy subsystems, the cascade utilization of primary energy can be realized, the utilization rate of renewable energy can be improved, and multi-energy can be achieved. The coordination and complementarity of loads can achieve the goal of energy saving and emission reduction of the energy system. In engineering applications, the multi-energy flow represented by the power-heat supply coupling system can make full use of the thermal inertia characteristics of the heating network and buildings, improve the flexibility of power system operation, promote the consu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06Q10/06G06Q50/06G06F113/04
CPCG06Q10/06312G06Q50/06Y04S10/50
Inventor 顾伟陆帅吴志周苏洋姚帅潘光胜
Owner SOUTHEAST UNIV
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