Double-layer multi-time-scale operation optimization method for power distribution network-natural gas combined system

A multi-time-scale, combined system technology, applied in the field of double-layer multi-time-scale operation optimization of distribution network-natural gas combined system, can solve the problems of poor optimization effect of operation optimization strategy and inability to consider multi-time-scale characteristics.

Pending Publication Date: 2022-02-01
STATE GRID HUNAN ELECTRIC POWER +2
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Problems solved by technology

[0005] The invention provides a double-layer multi-time scale operation optimization method for the distribution network-natural gas combined system, which is used to solve the problem that the current distribution network-natural gas network system operation optimization method cannot consider the multi-time-scale characteristics of wind power prediction, which leads to the obtained operation The technical problem of poor optimization effect of optimization strategy

Method used

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  • Double-layer multi-time-scale operation optimization method for power distribution network-natural gas combined system
  • Double-layer multi-time-scale operation optimization method for power distribution network-natural gas combined system
  • Double-layer multi-time-scale operation optimization method for power distribution network-natural gas combined system

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Embodiment 1

[0151] like figure 1 As shown, this implementation discloses a double-layer multi-time scale operation optimization method for a distribution network-natural gas combined system, including the following steps:

[0152] Obtain the wind power output data of the distribution network-natural gas combined system in multiple wind power scenarios from historical data; respectively carry out dimension reduction processing on the wind power output data of the multiple wind power scenarios, and obtain the key characteristic data of multiple wind power scenarios;

[0153] Based on the key feature data of the multiple wind power scenarios, the multiple wind power scenarios are hierarchically clustered to obtain the clustering scenario category of the distribution network-natural gas combined system;

[0154] Based on the clustering scenario categories of the distribution network-natural gas combined system, a double-layer multi-time-scale stochastic operation optimization model of the dis...

Embodiment 2

[0158] Embodiment 2 is a preferred embodiment of Embodiment 1, and its difference from Embodiment 1 is that the specific steps of the distribution network-natural gas combined system double-layer multi-time scale operation optimization method are refined:

[0159] 1. Assumed test conditions

[0160] In order to verify the effectiveness of the proposed distribution network-natural gas network stochastic operation model based on scenario clustering, the present invention uses a modified IEEE 14-node distribution network and natural gas network coupling optimization system based on programming simulation. The coupling system includes 3 thermal power units, 2 gas-fired units, 2 natural gas production units and 1 wind power plant. The specific parameters of the coupling system units are shown in Table 1 and Table 2.

[0161] Table 1 Distribution network unit parameters

[0162]

[0163]

[0164] Table 2 Parameters of natural gas unit

[0165]

[0166]The forecast output ...

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Abstract

The invention discloses a double-layer multi-time-scale operation optimization method for a power distribution network-natural gas combined system, and the method comprises the steps of carrying out dimension reduction processing on the wind power output data of a plurality of wind power scenes, and obtaining the key feature data of the plurality of wind power scenes; performing hierarchical clustering on the plurality of wind power scenes based on the key feature data of the plurality of wind power scenes to obtain a clustering scene category of the power distribution network-natural gas combined system; and based on the clustering scene category of the power distribution network-natural gas combined system, constructing a double-layer multi-time-scale random operation optimization model of the power distribution network-natural gas combined system, and solving the double-layer multi-time-scale random operation optimization model to obtain an optimal operation strategy of the power distribution network-natural gas combined system. According to the method, a plurality of time scales are integrated, a multi-time-scale double-layer multi-time-scale operation optimization strategy of a power distribution network and a natural gas network is obtained, the prediction precision of wind power at different time scales can be fully utilized, and the full consumption of the wind power under the multiple time scales is achieved.

Description

technical field [0001] The invention relates to the technical field of operation optimization of distribution network-natural gas combined system, in particular to a double-layer multi-time scale operation optimization method of distribution network-natural gas combined system. Background technique [0002] In recent years, the global energy crisis and environmental problems have become increasingly prominent, and the renewable energy represented by wind power and solar power has developed rapidly. However, due to the mismatch between the random output characteristics of renewable energy and the capacity of the grid, the problems of abandoning wind and solar in my country are becoming more and more serious. The mutual coupling and mutual joint system of distribution network and natural gas network can effectively improve the utilization rate of renewable energy, reduce carbon emissions and realize the synergy between energy systems to improve energy efficiency. Therefore, i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06G06K9/62
CPCG06Q10/04G06Q50/06G06F18/231G06F18/2321Y02E40/70Y04S10/50
Inventor 唐海国周可慧张帝康童朱吉然周恒逸赵邈任磊游金梁邓威
Owner STATE GRID HUNAN ELECTRIC POWER
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