High renewable energy permeability power grid recovery optimization method based on robust theory

A technology for renewable energy and power grid restoration, applied in the power grid field, can solve the problems of difficulty in ensuring the accuracy of the probability density function, difficulty in obtaining the probability distribution function, and increasing the burden on the power system, achieving stable solution results, simple models, and guaranteed security. Effect

Active Publication Date: 2020-12-29
NANJING UNIV OF SCI & TECH
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Problems solved by technology

However, it is difficult to obtain the probability distribution function of the stochastic programming model, and it is difficult to guarantee the accuracy of the probability density function simulated by the sampling method. At the same time, in order to ensure the accuracy of uncertainty processing, a large number of possible scenarios need to be generated, which also increases the burden on the power system.

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  • High renewable energy permeability power grid recovery optimization method based on robust theory
  • High renewable energy permeability power grid recovery optimization method based on robust theory
  • High renewable energy permeability power grid recovery optimization method based on robust theory

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Embodiment 1

[0257] (1) Example scene

[0258] Taking the IEEE10-machine 39-node system as an example, the power grid topology is as follows: image 3 As shown, the entire recovery path, unit capacity and load capacity of each node are shown in Table 1 below. Since the 39 / 38 / 39 / 33 / 34 are all thermal power units except the self-starting unit 30 nodes, the thermal power units need a certain amount of time to heat the boiler after the starting power is met, and cannot be put into operation immediately to provide active support for the system, so It is set to put into the system to generate power after 4 minutes of power-on; and the renewable energy nodes 26 / 29 / 27 / 16 can quickly connect to the grid after power-on to supply power to the system to be restored. In this calculation example, the recovery time of each transmission line is 4 minutes, so the total time required to recover from node 30 to node 34 is 60 minutes, and the recovery path is 30-2-25-37-26-29-38-1-39-27 -17-16-19-33-20-34. ...

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Abstract

The invention discloses a high renewable energy permeability power grid recovery optimization method based on a robust theory and is used for converting a deterministic power grid recovery optimization model into a robust optimization model, carrying out the solving through employing an artificial bee colony algorithm, and obtaining a power grid recovery scheme considering the uncertainty. The method comprises the following steps of 1, establishing a deterministic power grid recovery optimization model in a high renewable energy permeability power grid recovery process; 2, according to the deterministic model established in the step 1, establishing a double-layer robust model considering the uncertainty of renewable energy sources by applying a robust theory; 3, converting the double-layerrobust model obtained in the step 2 into a single-layer robust model which is easy to solve by applying a dual theorem; and 4, solving the single-layer robust model obtained in the step 3 by adoptingan artificial bee colony algorithm to obtain a power grid recovery scheme considering the uncertainty of renewable energy sources. The method is advantaged in that the power grid recovery scheme obtained by the method can bear all fluctuations in an uncertain interval of renewable energy sources, can ensure the safety of the power grid recovery process, and has certain theoretical values and engineering values.

Description

technical field [0001] The invention belongs to the technical field of power grids, in particular to a restoration optimization method for power grids with high renewable energy penetration rates based on robust theory. Background technique [0002] The participation of renewable energy in grid restoration can help improve the efficiency of system restoration and reduce the curtailment of renewable energy. However, due to the intermittence and volatility of the active output of renewable energy, it may bring a series of safety problems to the restored system. Therefore, it is necessary to study power grid outage recovery schemes that take into account the uncertainty of renewable energy. Methods to deal with the uncertainty of renewable energy include autoregressive-sliding average model method and chance constrained programming method. However, it is difficult to obtain the probability distribution function of the stochastic programming model, and it is difficult to guara...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/46H02J3/38
CPCH02J3/46
Inventor 黄详淇谢云云刘琳郭伟清谷志强李德正杨正婷殷明慧卜京姚娟张俊芳邹云
Owner NANJING UNIV OF SCI & TECH
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