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A method for optimizing the operation of vanadium redox flow battery energy storage system based on genetic algorithm

An all-vanadium redox flow battery, operation optimization technology, applied in the field of power system energy storage, can solve the problems of reducing energy efficiency and increasing other losses

Active Publication Date: 2021-01-08
WUHAN UNIV OF TECH
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Problems solved by technology

In fact, the various factors are interrelated, and optimizing one of them may lead to increased losses in the other, reducing energy efficiency in the other

Method used

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  • A method for optimizing the operation of vanadium redox flow battery energy storage system based on genetic algorithm
  • A method for optimizing the operation of vanadium redox flow battery energy storage system based on genetic algorithm
  • A method for optimizing the operation of vanadium redox flow battery energy storage system based on genetic algorithm

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Embodiment Construction

[0055] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0056] The present invention proposes an all-vanadium redox flow battery energy storage system operation optimization technology based on a genetic algorithm, including establishing a mathematical model of an all-vanadium redox flow battery, performing parameter identification on the mathematical model of an all-vanadium redox flow battery, and using a genetic algorithm to The instantaneous energy efficiency of the vanadium redox flow battery is optimized in real time to obtain the highest instantaneous energy efficiency when operating under different SOCs, as well as the flow rate, temperature and current value corresponding to the efficiency.

[0057] In the specific example, a 5kW / 3.3kWh all-vanadium redox flow battery is used as an example to describe, and the parameters of the all-vanadium redox flow battery are shown in Table 1. ...

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Abstract

The invention discloses a method for optimizing the operation of an all-vanadium redox flow battery energy storage system based on a genetic algorithm. Parameter identification; 3. Construct the instantaneous energy efficiency equation; 4. Construct the cost function of the highest instantaneous energy efficiency to minimize energy loss and determine constraints; 5. Construct fitness function, selection probability function, and mutation probability function; 6. Calculated by genetic algorithm, the input power value P Ch / Dis The highest instantaneous energy efficiency when the absolute value of the instantaneous energy efficiency error is less than the specified value, and the corresponding flow rate, temperature and voltage are obtained by solving with the SOC of the remaining power. The invention optimizes the energy storage system of the all-vanadium redox flow battery by using three factors of temperature, flow rate and current, and adopts a genetic algorithm, so as to improve the instantaneous energy efficiency of the electric stack, and further improve the system efficiency of the all-vanadium redox flow battery.

Description

technical field [0001] The invention relates to the technical field of power system energy storage, in particular to an operation optimization method for an all-vanadium redox flow battery energy storage system based on a genetic algorithm. Background technique [0002] The genetic algorithm was proposed in the 1960s. This algorithm is a global probability search algorithm developed by referring to the natural selection and genetic evolution mechanism of organisms. It imitates the principle of "natural selection and survival of the fittest" in the process of biological genetic evolution in nature, borrows the viewpoint of biological genetics, and uses computers to find the best individuals in the population. The genetic algorithm does not have high requirements for solving the problem itself, all it needs is to evaluate each individual produced by the algorithm, and make the individual with good "fitness" (used to measure the adaptability of a species to the living environme...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/27G06N3/12G06F111/04G06F111/08G06F111/10
CPCG06F30/367G06F2111/04
Inventor 熊斌宇黄宇超刘正奇王子睿苏义鑫谢长君
Owner WUHAN UNIV OF TECH
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