Robust optimization operation method, system and device of integrated energy system and storage medium

Abstract

The invention discloses an integrated energy system robust optimization operation method, system and device and a storage medium, and the method comprises the steps: firstly analyzing the influence of the fluctuation of distributed photovoltaic output power on the safe operation of a multi-station fusion system; secondly, fitting a more accurate probability density function to describe the more accurate probability density function in combination with a prediction error statistical distribution condition of a distributed photovoltaic support vector regression model, generating a photovoltaic random output scene on the basis of the more accurate probability density function, and generating a photovoltaic typical output scene by utilizing a clustering method; and performing a typical scene feasibility test on an original operation plan of the distributed integrated energy system, then establishing a double-layer optimization model to realize a feedback function of an infeasible condition, and designing a robust operation strategy of the distributed integrated energy system according to the feedback function.

Description

technical field [0001] The invention belongs to the technical field of comprehensive energy system optimization, and in particular relates to a robust optimization operation method, system, device and storage medium of a comprehensive energy system. Background technique [0002] The multi-station fusion scenario organically combines substations, energy storage stations, data center stations, charging stations, new energy power stations, comprehensive energy stations, etc. Provide high-quality energy supply. The multi-station fusion system is essentially a comprehensive energy system. After incorporating a large amount of fluctuating renewable energy such as photovoltaic power generation, its active frequency characteristics and reactive voltage characteristics will be greatly affected. Due to the strong dependence of the output power of photovoltaic power generation on weather conditions, the traditional operation mode is difficult to adapt to its frequent random fluctuatio...

AI Technical Summary

Problems solved by technology

[0005] At present, the prediction of photovoltaic output power requires the support of a large amount of accurate and real-time weather data. The data acquisition and data accuracy requirements are high, the data volume is large, and the output is complicated.

[0006] At present, the relevant research on photovoltaic output prediction is based on the uncertainty model, but it is difficult to obtain accurate prediction results under complex weather conditions such as cloudy and rainy days.

[0007] When the difference between the predicted value of light and the actual value is large, the system will inevitably choose to abandon light, otherwise the normal operation of the multi-station fusion system will be impacted, which will have a great adverse effect on the economy and safety of the overall system operation

In order to ensure the full consumption of distributed photovoltaic power generation, reasonable strategies must be adopted to deal with the uncertainty of photovoltaic power generation output. The current strategy is not comprehensive enough for the evaluation of operating scenarios

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