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Dynamic optimization method for optimal capacity allocation of battery energy storage based on user-side load

A technology for battery energy storage and capacity configuration, applied in data processing applications, AC network load balancing, system integration technology, etc. scientific effect

Active Publication Date: 2021-07-13
STATE GRID ZHEJIANG ELECTRIC POWER +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there is still room for improvement in the following technologies: (1) Domestic user-side battery energy storage policies are frequently issued, and the demand for energy storage applications on the user side is becoming more and more apparent. There is a lack of optimal capacity-setting strategies and benefit calculation methods for a single user’s characteristics, making it impossible to judge The development trend of user-side battery energy storage; (2) user-side battery energy storage is random, decentralized, and highly flexible in operation. Complex technical and economic parameters such as user-side energy storage batteries and energy storage systems will increase the difficulty of energy storage configuration

Method used

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  • Dynamic optimization method for optimal capacity allocation of battery energy storage based on user-side load
  • Dynamic optimization method for optimal capacity allocation of battery energy storage based on user-side load
  • Dynamic optimization method for optimal capacity allocation of battery energy storage based on user-side load

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Embodiment Construction

[0057] The present invention will be further described below in combination with specific embodiments.

[0058] The present invention provides a dynamic optimization algorithm for battery energy storage optimal capacity configuration based on user-side load characteristics, which includes the following steps:

[0059] 1) The optimal constant capacity model of battery energy storage on the user side

[0060] The optimal constant capacity model of battery energy storage on the user side is based on the user load data, the statistical peak-to-valley difference, and selects the annual maximum daily peak-to-valley difference as the initial value. Combine the discharge depth and battery container configuration to calculate the number of containers, and the maximum power P of the energy storage battery can be obtained from the power of the battery container max . The optimal power of the energy storage battery configured by the user (unit: kW) ranges from [250,P max ]. The chargi...

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Abstract

The invention discloses a dynamic optimization method for optimal capacity configuration of battery energy storage based on user-side load. Through the analysis of user load characteristics, the present invention constructs a number of interactive feedback models such as the optimal capacity configuration of energy storage batteries, the optimal operation strategy of energy storage systems, and the dynamic economic benefit calculation of energy storage systems to form the optimal capacity configuration of user-side battery energy storage Comprehensive optimization algorithm. The invention designs the optimal configuration scheme of battery energy storage in combination with the load characteristics of the user side and the technical constraints of battery energy storage, and improves the scientificity of the design of the battery energy storage capacity configuration scheme of the user side.

Description

technical field [0001] The invention belongs to the field of user-side battery energy storage capacity configuration, and relates to a dynamic optimization method for optimal capacity configuration of battery energy storage based on user-side load characteristics. Background technique [0002] It is of practical significance to promote the construction of a modern energy system, strengthen the top-level design of energy storage, accelerate the pilot project of grid-side energy storage, scientifically carry out research on user-side battery energy storage, and deepen the analysis and research on the future economic benefits and related impacts of user-side battery energy storage. At present, there is still room for improvement in the following technologies: (1) Domestic user-side battery energy storage policies are frequently issued, and the demand for energy storage applications on the user side is becoming more and more apparent. There is a lack of optimal capacity-setting s...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q50/06H02J3/32
CPCH02J3/32Y02E40/70Y04S10/50
Inventor 朱国荣徐振超蔡张花王洪良董丹煌刘军胡嘉骅陈佳成飞华燕翁羽玲
Owner STATE GRID ZHEJIANG ELECTRIC POWER
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