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Evaluation method for flexibility of power generation system based on sequence simulated calculation and routine set random fault

A technology for flexibility evaluation and conventional units, applied in wind power generation, climate change adaptation, single-network parallel feeding arrangements, etc., can solve problems such as output fluctuations and uncertain power system security and stability.

Active Publication Date: 2019-05-31
CHONGQING UNIV
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AI Technical Summary

Problems solved by technology

[0002] With the large amount of renewable energy such as wind power connected to the grid, the fluctuation and uncertainty of its output have had a certain impact on the safe and stable operation of the power system.

Method used

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  • Evaluation method for flexibility of power generation system based on sequence simulated calculation and routine set random fault
  • Evaluation method for flexibility of power generation system based on sequence simulated calculation and routine set random fault
  • Evaluation method for flexibility of power generation system based on sequence simulated calculation and routine set random fault

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Experimental program
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Embodiment 1

[0268] A power generation system includes 10 thermal power units, and the relevant parameters of the 10 thermal power units are as follows Figure 4 As shown, the basic spinning reserve ratio α% and the additional spinning reserve ratio β% due to wind power access are taken as 10% and 20% respectively. The peak load of the system is 1500MW, and the ramp rate of the conventional unit is 60% of the installed capacity of the unit. The power generation system is also connected to 200 wind turbines with a single capacity of 2MW. The cut-in wind speed, rated wind speed and cut-out wind speed of the wind turbines are 4m / s, 15m / s and 25m / s respectively. The per-unit value of the wind speed forecast error satisfies a normal distribution with a standard deviation of 5%.

[0269] The system load model adopts the 8760-hour load data of the IEEE-RTS79 standard test system, and the load curve is as follows Figure 5 As shown, before evaluating the flexibility of the power generation syst...

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Abstract

The invention discloses an evaluation method for the flexibility of a power generation system based on sequence simulated calculation and a routine set random fault. On the basis of a wind-speed ARMAmodel, sequential output of wind turbines is calculated according to an output power characteristic curve of the wind turbines, and the wind speed is corrected according to a wind speed prediction error model to obtain the present wind speed; according to an optimal economical scheduling model of the routine set, the output conditions of the routine set in different time are obtained; according tothe system load variance in the time scales corresponding to different time as well as scheduling resources that can be provided by the routine set in the same time scale, a system flexibility parameter is calculated, and a system flexibility index is solved. Characteristics including the wind speed prediction error and random fault of the routine set are considered in flexibility evaluation, andthe method can be used to evaluate the flexibility of the power generation system relatively accurately.

Description

technical field [0001] The invention belongs to the technical field of flexibility evaluation methods for power generation systems, and in particular relates to a method for evaluating the flexibility of power generation systems based on time-series simulation calculations and random failures of conventional units. Background technique [0002] With the massive grid-connection of renewable energy such as wind power, the fluctuation and uncertainty of its output have had a certain impact on the safe and stable operation of the power system. Whether the system can absorb the fluctuating output of renewable energy in a short period of time by mobilizing its own resources can reduce the impact of uncertainty and instability on the system, which is characterized by the level of flexibility of the system. The flexibility level is determined by multiple factors, so it is necessary to model and solve the system flexibility level measurement index accordingly, and analyze the impact ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/38H02J3/46
CPCY02A30/00
Inventor 谢开贵胡博徐星旻路红池李牧水李冶孔得壮
Owner CHONGQING UNIV
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