Storage capacity optimal allocation method based on improved primary frequency modulation

A capacity optimization configuration and energy storage capacity technology, applied in circuit devices, AC network load balancing, reducing/preventing power oscillation, etc., can solve the problems of great significance for the future development of the new energy industry and high cost of energy storage systems, and achieve improvement effects , SOC changes are stable, and the effect of extending the service life

Inactive Publication Date: 2019-02-19
HOHAI UNIV +4
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Problems solved by technology

[0003] Although the energy storage system has many advantages in the application of power grid frequency regulation, the cost of the energy storage system is actually relatively high. Therefore, rationally planning and configuring the capacity of the energy storage system can not only save system costs and give full play to the role of energy storage, but also for The future development of the new energy industry is of great significance
[0004] In view of the existence of the problem of high cost of energy storage systems, based on years of rich practical experience and professional knowledge in the engineering application of such products, and in conjunction with the application of academic theories, the inventor actively researched and innovated, in order to create a system based on improving primary frequency modulation. The optimized configuration method of energy storage capacity makes it more practical

Method used

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  • Storage capacity optimal allocation method based on improved primary frequency modulation
  • Storage capacity optimal allocation method based on improved primary frequency modulation
  • Storage capacity optimal allocation method based on improved primary frequency modulation

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Embodiment 1

[0056]Embodiment 1: An energy storage capacity optimization configuration method based on improved primary frequency regulation, including step S1: propose a capacity optimization configuration model, and calculate the standard deviation R of the power grid frequency value at different times according to the sampling data, expressed as:

[0057]

[0058] In the formula: n represents the number of sampling points, f i Indicates the frequency value corresponding to the i-th sampling point, f 0 Indicates the reference value of grid frequency;

[0059] a) If the standard deviation R increases, control the energy storage output to adjust the frequency until the standard deviation R decreases;

[0060] b) If the standard deviation R decreases, detect the SOC state of the energy storage battery;

[0061] S2: Detect the SOC state of the energy storage battery, when the SOC value of the energy storage is at SOC ref It is most beneficial to the operation of energy storage when the...

Embodiment 2

[0104] Example 2: An optimal configuration method of energy storage capacity based on improving primary frequency regulation. Using the above-mentioned method to conduct a calculation example analysis, a 1MW photovoltaic power station in Nanjing was selected as the analysis object, and it was selected from 6:00 a.m. to 6:00 a.m. the next day , a total of 24 hours of power generation data. The sampling period is 5 minutes, with a total of 288 sampling points, the maximum output power is 840kW, the minimum output power is 10kW, and the average output power is 348.374kW. The average maximum fluctuation rate of power every 5 minutes is 27.6%, the charge and discharge efficiency of energy storage is 90%, and the SOC max Take 0.9, SOC min Take 0.1. The variation curve of photovoltaic output in one day is as follows: image 3 shown.

[0105]The voltage level of access to the grid is 10kV, and the transmission power is 2MW. The optimal configuration model, constraint conditions a...

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Abstract

The invention discloses a storage capacity optimal allocation method based on improved primary frequency modulation, belongs to the field of grid frequency modulation and is intended to provide a storage capacity optimal allocation method to reasonably plan and allocate the capacity of an energy storage system in order to solve the problem that the energy storage system has relatively high cost. The method herein comprises: S1, providing a capacity optimal allocation model, and calculating standard deviation R of grid frequency values at different moments according to sampling data; a) if thestandard deviation R increases, controlling storage output to carry out frequency modulation until the standard deviation R decreases; b) if the standard deviation R decreases, detecting SOC (stage ofcharge) of an energy storage battery; S2, detecting the SOC of the energy storage battery, wherein an SOC value of energy storage being in an interval near SOCref is most favorable for energy storageoperation; setting the interval to [SOC1, SOC2]; c), if the SOC value is not within [SOC1, SOC2], performing extra charging-discharging on the energy storage battery until the SOC value is within [SOC1, SOC2]; d) if the SOC value is within [SOC1, SOC2], calculating a storage capacity value according to a storage capacity calculating method.

Description

technical field [0001] The present invention relates to an energy storage capacity optimization configuration method, in particular to an energy storage capacity optimization configuration method based on improving primary frequency regulation. Background technique [0002] Due to the volatility and output uncertainty of new energy power generation, the frequency regulation problem brought to the system after it is connected to the grid has gradually become prominent. The inertial response speed of traditional generator sets is slow, which cannot fully meet the needs of the primary frequency regulation of the system. The energy storage system has the characteristics of high frequency modulation accuracy and fast response speed, so the energy storage system is introduced to assist the traditional power supply to participate in primary frequency modulation. [0003] Although the energy storage system has many advantages in the application of power grid frequency regulation, t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/24H02J3/32
CPCH02J3/24H02J3/32H02J2203/20
Inventor 史林军张亦磊史江峰朱昊卿吴敏吴峰林克曼
Owner HOHAI UNIV
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