Robust optimization method and system capable of suppressing wind power photovoltaic uncertainty

Abstract

Disclosed are a robust optimization method and system capable of suppressing wind power photovoltaic uncertainty. The method comprises the following steps that a micro-grid system is decomposed into sub systems according to the types of renewable energy power generation; a robust optimization scheme of each sub system is determined according to a preset robust model; the robust optimization schemeof each sub system is fused into the robust model to calculate the optimal solution; and the lowest cost of the microgrid system is determined based on the optimal solution, wherein the lowest cost meets the stable operation of the micro-grid system; and the types of renewable energy power generation comprise wind generator power generation and photovoltaic power generation. According to the technical scheme, the robust optimization method is adopted, and the benefit relation between the micro-grid and the cloud energy storage can be reasonably processed, so that the microgrid achieves the lowest operation cost on the basis of stable operation; and finally, the purposes of resource sharing and reasonable configuration are realized.

Description

technical field [0001] The invention belongs to the technical field of power system automation, and in particular relates to a robust optimization method and system for suppressing wind power photovoltaic uncertainty. Background technique [0002] Due to the existence of uncertain factors in renewable energy such as wind power and photovoltaics, wind power and photovoltaics have great fluctuations in the process of power generation, and the impact on the security and adequacy of the power grid system has become increasingly prominent. With the large-scale access of wind power and photovoltaics to the power system, the optimal dispatching and operation of the power grid has become increasingly difficult. The traditional optimization method does not take into account the uncertainty of wind power and photovoltaics, and usually regards the output prediction of wind power and photovoltaics as a deterministic parameter. There are large errors, which will increase the uncertainty ...

AI Technical Summary

Problems solved by technology

With the large-scale access of wind power and photovoltaics to the power system, the optimal dispatching operation of the power grid becomes more and more difficult

The traditional optimization method does not take into account the uncertainty of wind power and photovoltaics, and usually regards the output prediction of wind power and photovoltaics as a deterministic parameter. There are large errors, which will increase the uncertainty of system operation and pose a threat to the security of the power grid system. threaten

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