Method for identifying and controlling wind power consumption capability of power system under peak load and frequency regulation constraints

Abstract

The invention discloses a method for identifying and controlling the wind power consumption capability of a power system under peak load and frequency regulation constraints, and belongs to the field of power system running and wind power grid-connection control. The method comprises the following steps of: in view of the peak load and frequency regulation constraints of the power system, optimizing the starting and stopping states of conventional machine sets, and identifying a three-dimensional controlled network for the wind power consumption of the power system the day before; according to the three-dimensional controlled network for the wind power consumption of the power system, judging whether predicted wind power can be completely consumed by the power system or not the day before; according to a judgment result indicating whether the predicted wind power can be completely consumed by the power system or not, determining an optimal control strategy for the predicted wind powerconsumption of the power system the day before; and controlling a wind generating set and the conventional machine sets the next day according to the optimal control strategy determined the day before. By the method, power system scheduling staff can be helped to quickly judge whether the predicted wind power can be completely consumed by the power system or not, the optimal control strategy for the predicted wind power consumption is provided, and practical significance and broad application prospect are presented.

Description

technical field [0001] The invention belongs to the field of power system operation and wind power grid-connected control, and in particular relates to an identification and control method for a power system that can accommodate wind power under the constraints of peak regulation and frequency regulation. Background technique [0002] Since the 1980s, the oil crisis, climate change, and energy issues have become the international focus. Clean energy represented by wind energy has developed rapidly and has become an important alternative energy source in the long run. Generally speaking, wind power output shows significant characteristics different from conventional power sources: 1) Wind power output fluctuations in short time scales (hourly and within hours) are about ±10% to ±35% of wind power installed capacity, 4 to 12 hours Output fluctuations exceed ±50%; 2) With the expansion of the area covered by wind farms, the complementarity among wind farm units is enhanced, and...

AI Technical Summary

Problems solved by technology

[0004] 1) The start-up method is determined, and some conventional units are not shut down reasonably, and the power system’s consumption capacity cannot be tapped to the maximum extent, and the lost part can be absorbed by wind power;

[0005] 2) Neglecting the frequency security constraints of the power system, there is a lack of security checks on the wind power grid-connected control strategy on a short time scale, and there is a risk of frequency instability caused by deep peak regulation;

[0006] 3) The identification results are presented as one-dimensional indicators, which cannot represent the mapping relationship between wind power shape characteristics (positive peak regulation, flat peak regulation, and negative peak regulation) and the accommodating capacity, and cannot provide control criteria for on-site dispatchers;

[0007] 4) It cannot provide the limit characteristics of the power system that can accommodate wind power, and cannot provide a visual "safety zone" for the power system to accommodate wind power for on-site dispatching and operation personnel

[0008] 5) The calculation scale is large and the calculation time is long, which cannot help the on-site dispatching and operating personnel to make quick judgments

[0009] From the perspective of wind power grid-connected control strategies, the current measures only involve the shutdown control of the wind turbine itself, and do not cooperate with the start-up and shutdown of traditional wind turbines, which limits the controllable components and capabilities of the power system to accommodate wind power. Controllable range

In the start-up state determined by conventional units, when the power system cannot absorb too much wind power output, turning off part of the wind turbines becomes the only feasible strategy, thus wasting part of the wind power resources

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