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Direct-current power grid droop control margin optimization method and system considering probabilistic power flow

A probabilistic power flow, DC power grid technology, applied in parallel operation of DC power supply, DC network circuit device, load balancing in DC network, etc. Suppress fluctuations and other issues to achieve the effect of improving efficiency and flexibility

Active Publication Date: 2020-11-03
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] According to the inventor's knowledge, in the above studies, the droop control coefficients of DC are all set to fixed values ​​based on experience, and the fixed droop slope may not be able to suppress the fluctuations globally optimally without considering strong random fluctuations such as new energy power generation, and Also did not study the problem in a probabilistic framework
At the same time, there is no discussion on how to quantify and evaluate the degree of transgression of the converter station by the random disturbance of new energy in the above research
On the whole, there is no research that puts forward optimization requirements for the current time index and the multi-terminal DC operation margin index for a period of time in the future, so as to form a multi-dimensional target control strategy

Method used

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  • Direct-current power grid droop control margin optimization method and system considering probabilistic power flow
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  • Direct-current power grid droop control margin optimization method and system considering probabilistic power flow

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Embodiment 1

[0037] This embodiment takes wind power generation as an example to illustrate a droop control margin optimization method for a multi-terminal flexible DC power grid considering the probabilistic power flow of wind power.

[0038] With the increasingly popular construction of wind farms and multi-terminal flexible direct current (VSC-MTDC), the traditional grid operation strategy has been difficult to perfectly meet the control needs of the current AC / VDC hybrid system involving the random output of wind farms. Embodiment 1 of the present invention provides a DC power grid droop control margin optimization method considering wind power probabilistic power flow. The overall flow of the method is as follows figure 1 As shown, the brief steps are as follows:

[0039] (1) Based on the uncertain new energy power forecast for a certain period of time in the future, the probability flow of the future time is obtained, the power probability distribution of each DC node is obtained, an...

Embodiment 2

[0129] In one or more implementations, a DC power grid drooping control margin optimization system considering probabilistic power flow is disclosed, including:

[0130] A device for determining the measurement index of the multi-terminal DC operation margin under the probability framework by taking the DC droop slope coefficient as an independent variable;

[0131] A device for forming a multi-objective optimization model with the droop slope of each DC converter station as the optimization control variable, and the multi-terminal DC operation margin, grid operation economy, and grid operation stability as optimization objectives respectively;

[0132] The device is used to solve the model, obtain the optimized droop slope value of the converter station, and then form the AC / DC hybrid optimal power flow mode in which the DC droop control participates.

[0133] The specific implementation manner of the above-mentioned device is implemented by the method disclosed in Embodiment...

Embodiment 3

[0135] In one or more embodiments, a terminal device is disclosed, including a server, the server includes a memory, a processor, and a computer program stored on the memory and operable on the processor, and the processor executes the The program implements the steps in the method for optimizing the drooping control margin of the DC power grid considering the probability power flow in the first embodiment. For the sake of brevity, details are not repeated here.

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Abstract

The invention discloses a direct-current power grid droop control margin optimization method and system considering probabilistic power flow, and the method comprises the steps of obtaining an index for measuring the multi-terminal direct-current operation margin under a probability condition based on the prediction of new energy uncertainty power and through the calculation of the probabilistic power flow; in the flexible direct current participated alternating current and direct current hybrid power grid optimization, bringing the droop control parameters of a direct current converter station into the decision variables of an alternating current and direct current overall optimization level, and constructing a multi-objective optimization model in combination with an optimal power flow index of an alternating current power grid; and solving the multi-objective optimization model, so that the selection of the droop slope coefficient of the direct-current power grid is no longer set asa constant value according to experience, but considers the uncertainty fluctuation caused by new energy access, and the droop slope coefficient is obtained through the comprehensive solution of themulti-objective optimization model under a probability framework.

Description

technical field [0001] The invention relates to the technical field of DC power grid control, in particular to a DC power grid droop control margin optimization method and system considering probabilistic power flow after new energy is connected to an AC-DC hybrid power grid. Background technique [0002] The statements in this section merely provide background art related to the present invention and do not necessarily constitute prior art. [0003] With good environmental and social benefits, new energy power generation has developed rapidly at home and abroad. At the same time, the rapid development of power electronics technology makes DC transmission another effective way to optimize the allocation of resources. However, with the continuous penetration of new energy power generation in the AC-DC hybrid power grid, its inherent randomness and volatility greatly increase the uncertainty of system operation. The traditional AC power grid has some coping mechanisms for un...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J1/00H02J1/10H02J1/14H02J3/36H02J3/06
CPCH02J1/00H02J1/10H02J1/14H02J3/36H02J3/06H02J2203/10Y02E60/60
Inventor 王晓辉李澍高峰
Owner SHANDONG UNIV