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Energy storage equipment optimization control method considering negative peak regulation capacity of wind power grid-connected system

A technology of energy storage equipment and optimized control, applied in the direction of energy storage, wind power generation, AC network load balancing, etc., can solve the problem of unable to absorb the increase of wind power capacity

Inactive Publication Date: 2020-01-31
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The inventor found during the research and development process that although the above scheme considers the addition of energy storage equipment to the peak-shaving model of the wind power grid-connected system, the energy storage equipment participates in the system after peak-shaving and cannot accommodate the increase in wind power capacity.

Method used

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  • Energy storage equipment optimization control method considering negative peak regulation capacity of wind power grid-connected system
  • Energy storage equipment optimization control method considering negative peak regulation capacity of wind power grid-connected system
  • Energy storage equipment optimization control method considering negative peak regulation capacity of wind power grid-connected system

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Embodiment 1

[0047] figure 1 It is a flow chart of an energy storage device optimal control method considering the negative peak-shaving capability of the wind power grid-connected system involved in this embodiment. Such as figure 1 As shown, the optimal control method for energy storage equipment considering the negative peak-shaving capability of the wind power grid-connected system includes the following steps:

[0048] S101, analyzing the peak-shaving capability of the wind power grid-connected system with the participation of energy storage equipment.

[0049] Power system peak shaving is the behavior that the system dispatching organization plans to mobilize various resources to adjust its own power generation output or power load in order to ensure the power balance between the power supply side and the power consumption side, so as to meet the demand of load fluctuations. Considering the impact of wind power uncertainty on system peak regulation, this embodiment proposes two ext...

Embodiment 2

[0115] This embodiment provides an optimal control system for energy storage equipment considering the negative peak shaving capability of the wind power grid-connected system, the system includes:

[0116] The scene determination module is used to obtain the distribution law of load forecast data and wind power dispatch forecast in the day-ahead, and determine the extreme scene where the peaking demand of the system load fluctuation section is the largest;

[0117] The model building module is used to consider the maximum output level of the energy storage equipment according to the load forecast data and the minimum output level of the unit during the low load period, so as to ensure that the system can absorb the maximum wind power, and construct and analyze the wind power grid-connected system with the participation of energy storage Optimization model of peak shaving capability;

[0118] The linear processing module is used to linearize the constructed optimization model ...

Embodiment 3

[0121] This embodiment provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps in the above-mentioned energy storage device optimization control method considering the negative peak-shaving capability of the wind power grid-connected system are implemented. .

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Abstract

The invention discloses an energy storage equipment optimization control method and system considering the negative peak regulation capacity of a wind power grid-connected system. The method comprisessteps of obtaining load prediction data and a distribution rule of wind power in day-ahead scheduling prediction, and determining an extreme scene with the maximum peak regulation demand of a systemload fluctuation section; in a load valley period, considering the maximum output level of energy storage equipment according to the load prediction data and the minimum output level of a unit, ensuring that the system can consume the maximum wind power, and constructing an optimization model for analyzing the peak load regulation capacity of the wind power grid-connected system under the participation of energy storage; carrying out linearization processing of the constructed optimization model for analyzing the peak load regulation capacity of the wind power grid-connected system under the participation of energy storage; and acquiring actual operation data of the system in the period, inputting the optimization model for analyzing the peak load regulation capacity of the wind power grid-connected system under the participation of energy storage, and determining a downward peak load regulation limit of the wind power grid-connected system under participation of energy storage in theoff-peak period.

Description

technical field [0001] The invention relates to the technical field of energy storage equipment optimization, in particular to an energy storage equipment optimization control method and system that considers the negative peak-shaving capability of a wind power grid-connected system. Background technique [0002] The disturbance brought by the grid-connected wind power to the system makes the system peak shaving tense, and the negative peak shaving capacity of the system at the time of low load is the main factor determining the system's acceptable wind power capacity. Energy storage equipment can be regarded as a highly flexible power source to participate in system peak regulation and promote wind power consumption. [0003] With the development of wind power generation technology, the proportion of wind power grid-connected capacity in power system power generation capacity has increased significantly. The randomness, intermittency and uncertainty of wind power have brou...

Claims

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Application Information

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IPC IPC(8): H02J3/28H02J3/38
CPCH02J3/28Y02E10/76Y02E70/30
Inventor 王成福张修平王宁杨明王明强
Owner SHANDONG UNIV
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