Frequency Modulation Power Allocation Method for Fire-storage Joint Dispatching Based on Ensemble Empirical Mode Decomposition

An ensemble empirical mode, decomposed technology, applied in the field of fire-storage joint dispatching frequency modulation power allocation based on ensemble empirical mode decomposition

Active Publication Date: 2022-02-01
ELECTRIC POWER RES INST STATE GRID SHANXI ELECTRIC POWER +1
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Problems solved by technology

[0007] The invention solves the problem that the energy storage system decomposes the ACE signal between the energy storage unit and the thermal power unit when the energy storage system participates in the frequency modulation process of the power system, and establishes an optimization objective function according to the decomposed frequency modulation demand signal and the required energy storage capacity, and obtains the frequency modulation The optimal segmentation point of demand and the corresponding energy storage capacity provide a fire-storage joint scheduling frequency modulation power allocation method based on ensemble empirical mode decomposition

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  • Frequency Modulation Power Allocation Method for Fire-storage Joint Dispatching Based on Ensemble Empirical Mode Decomposition
  • Frequency Modulation Power Allocation Method for Fire-storage Joint Dispatching Based on Ensemble Empirical Mode Decomposition
  • Frequency Modulation Power Allocation Method for Fire-storage Joint Dispatching Based on Ensemble Empirical Mode Decomposition

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Embodiment Construction

[0016] The frequency modulation signal distribution method of fire-storage joint system based on ensemble empirical mode decomposition includes the following steps:

[0017] S1: The ACE data is decomposed by the method of ensemble empirical mode decomposition, and the decomposition result is In the formula, X(t) is the original ACE signal sequence at time t, h i (t) is the i-th order intrinsic mode function, that is, the IMF component, n is the number of decomposition modes, r n (t) is the decomposition remainder.

[0018] S2: Construct a spatio-temporal filter: recombine each IMF component and the remaining items after the set empirical mode decomposition, respectively construct a high-pass filter and a low-pass filter, and set the segmentation point to d, then the decomposed low-frequency component is: The high frequency components are:

[0019] S3: Establish an optimization model for the frequency modulation signal segmentation point of the fire-storage joint system:...

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Abstract

The participation of energy storage system in frequency regulation of power system can improve the frequency stability of power system. However, due to the impact of energy storage cost, it is necessary to optimize the frequency regulation performance and economy of the system when determining the power allocation of the combined fire-storage frequency regulation system. The specific steps of the fire-storage joint scheduling and frequency modulation power distribution method based on ensemble empirical mode decomposition provided by the present invention are as follows: S1 uses ensemble empirical mode decomposition to decompose the regional control error signal into several intrinsic mode functions; S2 constructs space-time filter; S3 establishes an optimization model for the segmentation point of the frequency modulation signal of the combined fire-storage system; S4 is based on the optimal segmentation point d value to determine the FM power value assigned to the fire-storage by the ACE value. The strategy proposed in the present invention can obtain good economic benefits while improving the frequency modulation performance of the power system, and is a very practical strategy for the frequency modulation signal distribution of the combined fire-storage system.

Description

technical field [0001] The invention relates to a fire-storage frequency modulation power allocation method participating in the secondary frequency modulation of the power system, in particular to a fire-storage joint scheduling frequency modulation power allocation method based on Ensemble Empirical Mode Decomposition (EEMD). [0002] technical background [0003] With the expansion of the scale of the power system, the access of large-scale new energy sources, the increase in the amplitude and probability of random fluctuations in load and power supply, and the deepening of the power market, the structure of power supply that meets the load demand has undergone major changes, and the power grid is facing decreasing frequency regulation resources. , The dilemma of deteriorating frequency characteristics. Frequency regulation is an important part of power system auxiliary services, in order to reduce the influence of load uncertainty and source uncertainty on system frequenc...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/24H02J3/28
CPCH02J3/24H02J3/28H02J2203/20
Inventor 王金浩亢银柱常潇雷达贾燕冰郑晋陈浩朱燕芳赵俊屹杨超颖张世锋程雪婷王晋川李胜文李慧蓬张敏肖莹杨赟磊赵军刘翼肇樊瑞王锬田翰臻
Owner ELECTRIC POWER RES INST STATE GRID SHANXI ELECTRIC POWER
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