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Multi-terminal intelligent soft switch optimal configuration method and system considering load loss risk

A technology of intelligent soft switching and optimal configuration, applied in calculation, genetic rules, instruments, etc., can solve problems such as complex convergence and difficulty of optimization models, and reduce the calculation efficiency of distribution network simulation method reliability evaluation

Active Publication Date: 2019-11-05
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology

Existing technologies 3 and 4 are both based on SOP optimization operation and fault recovery, which further reduces the reliability evaluation calculation efficiency of the distribution network simulation method, and are directly applied to the SOP optimization configuration, which will lead to an overly complex optimization model and difficult convergence

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  • Multi-terminal intelligent soft switch optimal configuration method and system considering load loss risk
  • Multi-terminal intelligent soft switch optimal configuration method and system considering load loss risk
  • Multi-terminal intelligent soft switch optimal configuration method and system considering load loss risk

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Embodiment Construction

[0053] The detailed content and technical description of the present invention will now be further described with a preferred embodiment, but should not be construed as a limitation to the implementation of the present invention.

[0054] Please refer to Figure 1-Figure 4 , figure 1 It is a flow chart of the optimal configuration method of the multi-terminal intelligent soft switch considering the risk of loss of load of important users in the present invention; Figure 2-Figure 4 for figure 1 step-by-step flowchart. like Figure 1-Figure 4 As shown, the optimal configuration method of the multi-terminal intelligent soft switch considering the risk of load loss of the present invention includes the following steps:

[0055] Step S1: Based on the production factor data, construct a power outage loss model of important users through DEA ​​and IDEA methods, and obtain the power outage loss of important users;

[0056] Step S2: based on the internal structure of the SOP, bu...

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Abstract

The invention discloses a multi-terminal intelligent soft switch optimal configuration method and system considering a load loss risk, and the method comprises the steps: S1, building an important user power failure loss model through DEA and IDEA methods based on production element data, and obtaining the power failure loss of an important user; s2, based on the internal structure of the SOP, constructing a multi-state reliability model, and obtaining load loss risks of the user in different states of the SOP through a rapid load loss risk calculation method; and S3, establishing an SOP double-layer programming model considering the loss-of-load risk of the important user, and solving the SOP double-layer programming model by adopting a hybrid optimization algorithm combining a multi-objective evolutionary algorithm based on a non-dominated sorting genetic algorithm and cone programming to obtain an optimal decision scheme considering the loss-of-load risk and the operation economy.

Description

technical field [0001] The invention belongs to the field of optimal configuration of power electronic equipment in a power distribution network, and in particular relates to a fully controlled power electronic device-smart soft switch (SOP), which provides a multi-terminal intelligent switch in consideration of the risk of loss of load of important users. The soft switch optimization configuration method can meet the distribution network planning and operation economy while improving the reliability of user power supply. Background technique [0002] As a fully controlled power electronic device, the intelligent soft switch (SOP) is installed at the traditional tie switch. It is an effective way to adapt to the grid connection of distributed power sources and comprehensively solve the uneven power flow, voltage quality and power supply reliability. However, the investment and operation and maintenance costs of SOP at this stage are relatively high, and it is of great signif...

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06G06N3/12
CPCG06N3/126G06Q10/0635G06Q10/067G06Q50/06
Inventor 刘文霞方正王晗钰王志强
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)