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Second-order cone optimal power flow model based on distribution robustness and solving method

An optimal power flow and second-order cone technology, applied in data processing applications, forecasting, instruments, etc., can solve problems such as ineffective regulation of reactive power and voltage, uncertainty of new energy power generation and load, lack of security, etc.

Pending Publication Date: 2020-11-24
XI AN JIAOTONG UNIV +1
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Problems solved by technology

[0002] At present, grid dispatching or power market clearing is calculated based on DC power flow, which cannot effectively regulate reactive power and voltage. The result lacks security and needs to be verified and adjusted
In the context of global warming, environmental degradation and energy crisis, the uncertainty of new energy power generation and load further increases the difficulty of safe operation of the power grid.

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  • Second-order cone optimal power flow model based on distribution robustness and solving method
  • Second-order cone optimal power flow model based on distribution robustness and solving method
  • Second-order cone optimal power flow model based on distribution robustness and solving method

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Embodiment Construction

[0067] The present invention is described in further detail below in conjunction with accompanying drawing:

[0068] The distribution robust second-order cone optimal power flow model and solution method of the present invention include the following steps:

[0069] 1) Decompose the power flow equation into a linear part and a nonlinear part, and express the nonlinear part through an auxiliary variable. Among them, the relaxation is a second-order cone constraint, so as to construct a second-order cone optimal power flow model, and limit the relaxation by adding a relaxation upper limit constraint error when the condition is not true;

[0070] 2) Node power fluctuation Considering the prediction deviation of new energy and load, the nonlinear part of the second-order cone optimal power flow model is Taylor expanded, and the relationship equation between uncertain quantities in the second-order cone optimal power flow model is derived by combining the prediction deviation At t...

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Abstract

The invention discloses a second-order cone optimal power flow model based on distribution robustness and a solving method. The method comprises the following steps of 1) decomposing a power flow equation into a linear part and a nonlinear part, expressing the nonlinear part through an auxiliary variable, relaxing into a second-order cone constraint so as to construct a second-order cone optimal power flow model, and adding a relaxation upper limit constraint at the same time so as to limit an error when a relaxation condition is not satisfied; 2) considering the prediction deviation of new energy and load by node power fluctuation; carrying out Taylor expansion on a nonlinear part of the second-order cone optimal power flow model; deriving a relation equation between uncertain quantitiesin the second-order cone optimal power flow model in combination with the prediction deviation; meanwhile, expressions of all uncertain quantities being given, and a second-order cone optimization model of the distribution robust optimal power flow problem being established in combination with an uncertain quantity opportunity constraint construction method and a variance interval estimation result. The method can correspond to uncertainty of new energy and loads and effectively control reactive and low-voltage optimal power flow.

Description

technical field [0001] The invention belongs to the field of power system safety planning and operation, and relates to a second-order cone optimal power flow model based on distribution robustness and a solution method. Background technique [0002] At present, power grid dispatching or power market clearing is calculated based on DC power flow, which cannot effectively regulate reactive power and voltage. The result lacks security and requires verification and adjustment. In the context of global warming, environmental degradation and energy crisis, the uncertainty of new energy power generation and load further increases the difficulty of safe operation of the power grid. In the United States, the Midwest Independent System Operator (MISO) often intervenes with loads to meet voltage and reliability requirements. [0003] The power system urgently needs an optimal power flow method that can deal with uncertainties and effectively control reactive power and voltage. A sta...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 别朝红肖遥黄格超高晓松李更丰贺元康刘瑞丰
Owner XI AN JIAOTONG UNIV
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