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Method for visualizing probabilistic quiescent voltage stability domain

A technology of static voltage stability and voltage stability, applied in the field of new energy generation and grid connection in the power system, can solve problems such as random flooding of equipment failures, and achieve the effect of improving the solution efficiency.

Active Publication Date: 2019-11-08
GUANGXI POWER GRID CO LTD NANNING POWER SUPPLY BUREAU
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Problems solved by technology

[0006] The problem to be solved by the present invention is to effectively analyze the influence of power system equipment failure and uncertainty of new energy power generation on the static voltage stability of the system, to solve the problem that the randomness of equipment failure is submerged; to establish a visualized power system probability voltage stability domain

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  • Method for visualizing probabilistic quiescent voltage stability domain
  • Method for visualizing probabilistic quiescent voltage stability domain
  • Method for visualizing probabilistic quiescent voltage stability domain

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Embodiment

[0152] The implementation steps of the voltage stability fault screening and sorting method of the present invention are as follows:

[0153] (1) Select M kinds of N-1 fault scenarios to be analyzed, and construct the original fault set

[0154] S={s 1 ,s 2 ,...,s M};

[0155] (2) Assume that the wind speed of the wind farm and the light intensity of the photovoltaic system are the corresponding average values, that is Pick any failure scenario s i , modify the network structure of the power system, and establish fault scenarios s i The voltage stability critical point model under ;

[0156] (3) Use the interior point algorithm to solve the critical point of voltage stability, obtain the load margin of each fault scenario, and screen out the serious fault set H={h 1 , h 2 ,..., h t};

[0157] (4) Select any fault scenario h in the severe fault set i , modify the network structure, and consider the uncertainty of new energy generation such as wind power and photovol...

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Abstract

A method for visualizing a probabilistic quiescent voltage stability domain comprises the steps of: acquiring an average value of a new energy power generation output, screening fault scenarios, and obtaining a serious fault set; selecting any fault scenario from the serious fault set, and establishing a voltage stability probability evaluation model based on the uncertainty of new energy power generation output; obtaining a cumulative probability distribution function of a load margin according to the voltage stability probability evaluation model; calculating a margin sorting index of a given probability in the fault scenario according to the cumulative probability distribution function of the load margin; repeating the above steps until the margin sorting indexes of all fault scenariosare obtained; and sorting the fault scenarios according to the margin sorting indexes. The method can truly and comprehensively consider the probability characteristics of new energy, effectively discriminates and sorts the quiescent voltage stability of the fault scenarios under the influence of random factors, and can accurately determine the optimal operating region of the given instability probability by setting the margin sorting index and constructing the power system probabilistic voltage stability domain based on the fault set.

Description

technical field [0001] The present invention generally relates to the grid-connected field of new energy power generation in electric power systems, and more specifically, relates to a visualization method of a probabilistic static voltage stability domain based on the uncertainty of new energy power generation. Background technique [0002] The grid connection of new energy such as wind power and photovoltaic power generation is not only conducive to adjusting the primary energy structure of the power system, but also can reduce the carbon emission level of the system and achieve clean and sustainable power generation. Moreover, with the reduction of the cost of new energy power generation, its economic competitiveness compared with traditional fossil energy power generation has gradually increased, making the high proportion of wind power and photovoltaic power generation an important feature of the future power system. However, due to the influence of natural conditions, ...

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Application Information

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IPC IPC(8): H02J3/38H02J3/48H02J3/50
CPCH02J3/48H02J3/50
Inventor 鲍海波赵祖鑫覃斌志马丽胡德凤李江伟钟志东吴伟伟王成成李宇烨黄翰民廖彬斌卢军罗家勇徐树峰石瑞才
Owner GUANGXI POWER GRID CO LTD NANNING POWER SUPPLY BUREAU
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