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Hybrid energy storage system optimal configuration method for improving comprehensive performance of wind power plant

A technology of hybrid energy storage system and comprehensive performance, which is applied in the field of optimal configuration of hybrid energy storage systems to improve the comprehensive performance of wind farms, and can solve problems such as difficulty in adapting and inclusion of on-grid power assessment into configuration models, etc.

Inactive Publication Date: 2019-02-15
STATE GRID SICHUAN ECONOMIC RES INST
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The patent starts with the wind farm participating in the primary frequency regulation of the power system. The optimal configuration model of the energy storage system constructed by it does not involve the auxiliary frequency regulation service in the power market, nor does it include the assessment of the on-grid electricity caused by the output fluctuation of the wind farm into the configuration model, which is difficult. Adapt to the current new situation and the requirements of the new environment

Method used

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  • Hybrid energy storage system optimal configuration method for improving comprehensive performance of wind power plant
  • Hybrid energy storage system optimal configuration method for improving comprehensive performance of wind power plant
  • Hybrid energy storage system optimal configuration method for improving comprehensive performance of wind power plant

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Embodiment 1

[0056] Such as figure 1 As shown, the hybrid energy storage system optimal configuration method to improve the comprehensive performance of wind farms includes the following steps:

[0057] S1, according to the adjustment rate index K 1 , Adjustment accuracy index K 2 and response time index K 3 Determine the overall service performance index K for wind farms participating in AGC pd ;Specifically:

[0058] K pd =K 1 K 2 K 3

[0059] Among them: K1 is the adjustment rate index, which is the rate at which the generator set responds to the AGC power command; K2 is the adjustment accuracy index, which refers to the deviation between the actual output and the command target power of the unit participating in the AGC service after the response command is stabilized; K3 The response time index refers to the time it takes for the unit to step out of the adjustment dead zone on the basis of the original output P0 after the energy management system issues an instruction.

[00...

Embodiment 2

[0083] Based on Example 1, a wind farm in a certain area of ​​China is selected for modeling and simulation. The wind farm is equipped with 50 2MW wind turbines with a total installed capacity of 100MW, and a hybrid energy storage system is connected to its 35kV bus. The overall example is simulated The grid structure of the system is as image 3 shown. In order to ensure the applicability of the results, the historical output curve of any 5 days in a year of the wind farm is randomly selected as the maximum output limit of the wind turbine. Obtain the output fluctuation threshold δ according to the document w n, the AGC demand data adopts the actual data in the AGC system of the power grid on a typical day, and the sampling interval is 5s. The basic information of the hybrid energy storage system is listed in Table 1. In addition, in order to increase the economic benefits of the entire system operation, this example temporarily participates in AGC auxiliary services during...

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Abstract

The invention discloses a hybrid energy storage system optimal configuration method for improving comprehensive performance of a wind power plant. According to the provided optical configuration method, effective on-grid electric quantity benefit can be increased according to a cost model of an energy storage system and AGC service gain of the wind power plant; the service market can be assisted through divided period parameters of the wind power plant and the AGC; the effective power generation on-grid rate can be improved by improving the output fluctuation value of the wind power plant; themaximum comprehensive benefit of the whole wind power plant after the hybrid energy storage system is added is taken into consideration, so that the rated power and the capacity of the hybrid energystorage system are optimally configured. By combination of the electric power system AGC auxiliary service assessment reward rule, the wind power plant accessed power grid on-grid assessment rule, andthe step electricity price and the characteristics of the hybrid energy storage system, the comprehensive performance improvement and comprehensive benefit model of the wind power plant added with the hybrid energy storage system is built, and then the optimal economic configuration of the hybrid energy storage system is finally realized by adopting a chaotic ant colony optimization algorithm.

Description

technical field [0001] The invention relates to the field of new energy power generation, in particular to a hybrid energy storage system optimization configuration method for improving the comprehensive performance of a wind farm. Background technique [0002] my country is committed to improving the energy structure that has relied on coal for a long time, and continues to vigorously develop the form of renewable clean energy power generation. As a major form of new energy power generation, wind power generation is also accounting for an increasing proportion. However, large-scale grid-connection of wind turbines increases the burden of system frequency regulation and has a greater impact on the safe and stable operation of the entire grid. The main reason is that the output of wind power generation is largely limited by the meteorological conditions where the wind farm is located, resulting in uncontrollable characteristics such as randomness, intermittency and volatility...

Claims

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Application Information

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IPC IPC(8): H02J3/00H02J3/28H02J3/38
CPCH02J3/386H02J3/008H02J3/28H02J2203/20Y02E10/76
Inventor 曾鉴胥威汀苟竞杨新婷苏韵掣李奥雷云凯刘方
Owner STATE GRID SICHUAN ECONOMIC RES INST
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