Chance-constrained-model-based optimized capacity configuration method of multi-type energy storage system

Abstract

The invention provides a chance-constrained-model-based optimized capacity configuration method of a multi-type energy storage system. The method comprises: (1), an entropy-chance constrained data model is established by considering new energy power generation randomness; (2), a charging and discharging control strategy of an energy storage system is simulated and established based on a model; and (3), charging and discharging electric quantities of the energy storage system are determined by using a genetic optimization algorithm. According to the invention, new energy power generation output randomness of wind-power and photovoltaic power generation and the like are taken into consideration; the model is established based on the chance constrained theory; and energy storage system states are divided by setting a fuzzy correction factor. Therefore, configuration costs of the hybrid energy storage system are reduced to the greatest extent; the capacity configuration of the multi-type energy storage system is optimized; and on the premise that the charging and discharging powers and the charge sate are kept in a proper range, power fluctuation of the new energy power generation can be effectively smoothened.

Description

technical field [0001] The present invention relates to a capacity allocation method, in particular to an energy storage system capacity optimization allocation method based on a chance constraint model, which can be adapted to multi-type energy storage systems in different modes of combined power generation systems such as wind storage, solar storage, and wind-solar storage. Capacity optimized configuration. Background technique [0002] Due to the gradual depletion of traditional energy sources and the increasingly serious energy and environmental crisis, wind power, photovoltaic and other renewable energy power generation technologies have attracted more and more attention. These power generation methods generally have the characteristics of low energy density and strong randomness of power output, which is also one of the main factors restricting the grid connection of wind power and photovoltaic power generation. [0003] The energy storage system can effectively stabi...

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Problems solved by technology

These power generation methods generally have the characteristics of low energy density and strong randomness of power output, which is also one of the main factors that limit the grid connection of wind power and photovoltaic power generation.

[0003] The energy storage system can effectively stabilize the output fluctuations of wind power and photovoltaic power generation, and improve the grid-connected friendliness and scale of wind power and photovoltaic power generation. However, due to economic constraints, energy-based energy storage systems such as battery energy storage are currently due to their relatively short cycle life. , in the process of its use, it is necessary to limit its charge and discharge capacity and the number of full charge and full discharge as much as possible; and power-type energy storage systems such as supercapacitors, because of their low energy density, sometimes cannot effectively cope with large-scale energy fluctuations. Output fluctuations of wind power or photovoltaic power generation

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