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Micro-grid economic optimization trading method based on cloud energy storage in electric power market environment

A technology of electricity market and trading method, which is applied in the fields of instruments, finance, data processing applications, etc.

Active Publication Date: 2019-01-11
NANJING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The prior art has not yet involved the realization of micro-grid economic transactions based on cloud energy storage in the electricity market environment. This application aims to propose a micro-grid economic optimization transaction method based on cloud energy storage

Method used

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  • Micro-grid economic optimization trading method based on cloud energy storage in electric power market environment
  • Micro-grid economic optimization trading method based on cloud energy storage in electric power market environment
  • Micro-grid economic optimization trading method based on cloud energy storage in electric power market environment

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Embodiment Construction

[0031] Combine below figure 1 The technical solution of the invention is described in detail.

[0032]The invention mainly aims at the power generation efficiency of solar energy, wind power and other intermittent energy sources and the instability of power generation time affected by the weather. Cloud energy storage technology is used to concentrate the energy storage devices originally scattered on the user side in the cloud to maximize the micro-grid revenue. As the goal, analyze its various constraints, such as power supply scheduling constraints, power balance constraints, battery capacity and instantaneous charge and discharge power constraints, and propose a microgrid system operation optimization scheduling model based on cloud energy storage. The change of energy produces corresponding fluctuations, and the particle swarm optimization algorithm is used to maximize the micro-grid revenue and solve the problem of energy allocation optimization.

[0033] First of all, ...

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Abstract

The invention discloses a micro-grid economic optimization trading method based on cloud energy storage in an electric power market environment, belonging to the technical field of electric power system automation. The method is based on a small amount of distributed energy storage, the energy storage device originally distributed on the user side is centralized to the cloud end to form a centralized cloud energy storage, the objective function of the benefit of selling and purchasing electricity to cloud energy storage and the constraint of charging and discharging of cloud energy storage areincluded by simultaneous microgrid, cloud energy storage sales and purchase pricing constraints, the constraint condition of power purchase in micro-grid determines the joint optimization model of micro-grid system and cloud energy storage, after each micro-grid is regarded as a stakeholder, the amount of electricity sold and the charging and discharging time of each micro-grid are optimized to maximize the economic benefits of the micro-grid. The participation of cloud energy storage reduces the investment cost of energy storage equipment and improves the utilization rate of resources.

Description

technical field [0001] The invention discloses a micro-grid economic optimization transaction method based on cloud energy storage in an electric power market environment, and belongs to the technical field of electric power system automation. Background technique [0002] With the large-scale application of solar energy and other new energy sources in microgrids, the low efficiency of intermittent energy generation, vulnerability to weather, and strong instability have increasingly significant impacts on the stable operation and economic dispatch of microgrids. The cost of the traditional microgrid model is high and the resource utilization rate is low. The rapid development of distributed energy has increased the demand for energy storage in the microgrid. The traditional grid scheduling scheme based on energy storage can no longer adapt to the development of the microgrid. The cloud energy storage model based on the shared economic model centralizes the energy storage dev...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q40/04G06Q50/06
CPCG06Q10/06313G06Q10/06315G06Q40/04G06Q50/06
Inventor 张慧峰吴江岳东
Owner NANJING UNIV OF POSTS & TELECOMM
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