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Photovoltaic-energy storage system capacity optimization design method and system based on power feature extraction

A technology of energy storage system and power characteristics, which is applied in the field of photovoltaic-energy storage system capacity optimization design, can solve the problems of combined output scheduling of ultra-short-term photovoltaic storage and other problems that have not yet been seen, and achieve the effect of cost saving

Active Publication Date: 2021-11-26
UNIV OF JINAN
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there is no research related to ultra-short-term solar-storage joint output scheduling

Method used

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  • Photovoltaic-energy storage system capacity optimization design method and system based on power feature extraction
  • Photovoltaic-energy storage system capacity optimization design method and system based on power feature extraction
  • Photovoltaic-energy storage system capacity optimization design method and system based on power feature extraction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] In one or more embodiments, a photovoltaic-energy storage system capacity optimization design method based on power feature extraction is disclosed, referring to image 3 , including the following procedures:

[0042] Divide different weather types, and determine different photovoltaic output types according to the weather types;

[0043] Each type of photovoltaic output is decomposed into several IMF components by empirical mode decomposition method;

[0044] Determine the high-frequency and low-frequency components used to design hybrid energy storage capacity;

[0045] Get the design capacity and maximum charging and discharging power of the hybrid energy storage system under different weather types;

[0046] Aiming at the minimum power flow of the energy storage unit and the minimum deviation between the optimized comprehensive value and the original dispatch plan, a multi-objective optimization model is established;

[0047] The model is solved to obtain the opt...

Embodiment 2

[0108] In one or more embodiments, a photovoltaic-energy storage system capacity optimization design system based on power feature extraction is disclosed, including:

[0109] Divide different weather types, and determine different photovoltaic output types according to the weather types;

[0110] Each type of photovoltaic output is decomposed into several IMF components by empirical mode decomposition method;

[0111] Determine the high-frequency and low-frequency components used to design hybrid energy storage capacity;

[0112] Get the design capacity and maximum charging and discharging power of the hybrid energy storage system under different weather types;

[0113] Aiming at the minimum power flow of the energy storage unit and the minimum deviation between the optimized comprehensive value and the original dispatch plan, a multi-objective optimization model is established;

[0114] The model is solved to obtain the optimal capacity design scheme of the hybrid energy s...

Embodiment 3

[0116] In one or more embodiments, a terminal device is disclosed, including a server, the server includes a memory, a processor, and a computer program stored on the memory and operable on the processor, and the processor executes the The program implements the photovoltaic-energy storage system capacity optimization design method based on power feature extraction in the first embodiment. For the sake of brevity, details are not repeated here.

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Abstract

The invention discloses a photovoltaic-energy storage system capacity optimization design method and system based on power feature extraction, including: dividing different weather types, and determining different photovoltaic output types according to the weather types; Decompose the photovoltaic output into several IMF components; determine the high-frequency component and low-frequency component used to design the hybrid energy storage capacity; obtain the design capacity and maximum charge and discharge power of the hybrid energy storage system under different weather types; use the power flow of the energy storage unit The minimum and optimized comprehensive value and the minimum deviation between the original dispatching plan is the goal, and a multi-objective optimization model is established; the model is solved to obtain the optimal hybrid energy storage system capacity design scheme. The present invention can decompose the output data of the solar photovoltaic power station into several components through empirical mode decomposition, and obtain the most economical HESS capacity and charging and discharging power according to the classified weather conditions through various combination methods.

Description

technical field [0001] The invention relates to the technical field of photovoltaic-energy storage combined power generation, in particular to a method and system for optimizing the design of photovoltaic-energy storage system capacity based on power feature extraction. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] In recent years, with the widespread application of distributed power generation mainly based on photovoltaic power generation, the distribution network is gradually changing from passive access to active access, which provides new options for optimizing power dispatch and improving power generation plans. Under the diversified distributed power generation mode, the joint operation and mutual integration of photovoltaic and energy storage has become an important development trend. Among them, the photovoltaic-storage combined...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/32H02J3/38
CPCH02J3/32Y02E10/56Y02E70/30
Inventor 史洁王鲁浩程新功宗西举
Owner UNIV OF JINAN