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Optimal scheduling method for multi-energy cloud energy storage system

A technology for optimizing scheduling and energy storage systems, applied in resources, data processing applications, forecasting, etc., can solve the problems of scarce resources in the power system of energy storage technology, optimized operation of multi-energy cloud energy storage systems that have not been seen, and have not yet been widely used.

Active Publication Date: 2021-02-26
TSINGHUA UNIV +2
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  • Application Information

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Problems solved by technology

However, due to the high investment cost, energy storage technology is still a scarce resource in the power system in recent years and has not been widely used.
However, there are no research reports on the aggregation and sharing of non-electrical energy storage resources in multi-energy systems, and no related research on the optimal operation of multi-energy cloud energy storage systems.

Method used

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  • Optimal scheduling method for multi-energy cloud energy storage system
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  • Optimal scheduling method for multi-energy cloud energy storage system

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Embodiment

[0193] The embodiments of the present invention are mainly based on the document "N.Zhang, X.Lu, M.B.Mcelroy, et al. "Reducing curtailment of wind electricity in China by employing electric boilers forheat and pumped hydro for energy storage." Applied Energy, vol.184, pp.987-994, 2016." In the power grid data in western Inner Mongolia, my country, a simulation analysis was carried out. Assuming that there are two wind farms as users of multi-energy cloud energy storage, participating in the optimal operation of multi-energy cloud energy storage system; a 6-node thermal system, a 6-node natural gas system and a 50MW advanced adiabatic compression Air energy storage is used as an energy storage supplier in a multi-energy cloud energy storage system. The structural diagram of the multi-energy cloud energy storage system in the embodiment is as follows: image 3 shown. According to the relevant policies of my country's wind power on-grid electricity price, the wind power on-grid ...

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Abstract

The invention provides an optimal scheduling method for a multi-energy cloud energy storage system, and belongs to the field of multi-energy system optimal scheduling. The method comprises the following steps: firstly, respectively establishing a thermodynamic system optimal scheduling model, a power system optimal scheduling model and a natural gas optimal scheduling model which consist of targetfunctions and constraint conditions, respectively solving the three models, and substituting solving results into the multi-energy cloud energy storage system optimal scheduling model; and solving the multi-energy cloud energy storage system optimal scheduling model to obtain a multi-energy cloud energy storage system optimal scheduling scheme. According to the method, the charging and discharging plan of each energy storage resource in the multi-energy cloud energy storage system can be optimized, the recovery and reuse of the wind curtailment electric quantity are realized at the minimum cost, and the method has very high application value.

Description

technical field [0001] The invention belongs to the field of optimal scheduling of multi-energy systems, in particular to an optimal scheduling method for multi-energy cloud energy storage systems. Background technique [0002] Energy storage technology is one of the most effective means to deal with the problem of large-scale renewable energy grid integration. In order to cope with the increasingly severe energy crisis and emission reduction problems, my country will gradually enter the era of high proportion of renewable energy in the next 30 years, and in order to support the further development of renewable energy, energy storage resources with flexible adjustment capabilities will become the future power important part of the system. However, due to the high investment cost, energy storage technology is still a scarce resource in the power system in recent years and has not been widely used. [0003] In recent years, the widespread application and successful implementa...

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/06313G06Q50/06
Inventor 李姚旺张宁薛静杰陈伟伟荆世博刘斯伟戚庆如
Owner TSINGHUA UNIV