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Improved decoupling control method for a hybrid energy storage system

A hybrid energy storage system and decoupling control technology, which is applied in the field of improved decoupling control of hybrid energy storage systems, can solve the problems of incomplete decoupling, poor control accuracy, and too simple model.

Inactive Publication Date: 2020-03-24
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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Problems solved by technology

However, due to the existence of leakage inductance, the power of each port is superimposed through the winding magnetic flux to produce a coupling relationship, which makes the control loop design of each variable more complicated.
A variety of solutions have been proposed in the prior art. For example, by setting the bandwidth of the control loop, a new decoupling control variable is introduced, which greatly reduces the coupling relationship between the two control variables. Decoupling; some literature deduces the equivalent relationship of power transmission under decoupling conditions, obtains the relational expression of decoupling variables, and realizes decoupling, but the model of this method is too simple and the control accuracy is poor; some literature proposes to obtain The decoupling model uses the neural network to obtain the control parameters online, but the calculation of the neural network is too large, and it is difficult to achieve real-time control

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Embodiment Construction

[0084] The present invention will be described in further detail below in conjunction with the accompanying drawings and examples, but the embodiments of the present invention are not limited thereto.

[0085] A method for improving decoupling control of a hybrid energy storage system in this embodiment includes the following steps:

[0086] Step S1, for the circuit of the hybrid energy storage system, the Δ-type equivalent circuit is obtained according to the Y-Δ conversion principle, and the equivalent inductance L and inductor current i are calculated according to the Δ-type equivalent circuit.

[0087] Step S1 is further refined as follows:

[0088] Step S1.1, such as figure 1 In the hybrid energy storage three-port DC / DC converter shown, T is a three-winding high-frequency transformer, and its turns ratio is N 1 :N 2 :N 3 , according to the actual transformer model, it can be equivalent to the leakage inductance L s1 , L s2 , L s3 with magnetizing inductance L M1 ...

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Abstract

The invention provides an improved decoupling control method for a hybrid energy storage system based on a quantum particle swarm algorithm and bilinear interpolation, and the method comprises the steps: obtaining a delta-type equivalent circuit according to a Y-delta conversion principle for a circuit of the hybrid energy storage system, solving an equivalent inductance L and an inductive currenti according to the delta-type equivalent circuit, and calculating the soft switching characteristics and switching tube loss; and then calculating the influence of converter soft switching characteristics and switching tube loss on decoupling parameters on the basis of traditional decoupling control, and improving a decoupling model. And finally, solving the improved decoupling model according toa quantum particle swarm algorithm; obtaining a corresponding table of the current value and the phase angle of the stable working point; obtaining a steady-state working point by inputting a currentreference value and looking up a table, and substituting into a bilinear interpolation method for operation, so that the control precision is improved under the condition of low resolution, decoupling control parameters of the hybrid energy storage system are obtained, decoupling control is further realized, the pressure of real-time calculation of a controller is reduced, and the control precision of the hybrid energy storage system is improved.

Description

technical field [0001] The invention relates to a method for improved decoupling control of a hybrid energy storage system, in particular to an improved decoupling control method for a hybrid energy storage system based on quantum particle swarm algorithm and bilinear interpolation. Background technique [0002] At present, energy and environmental problems are becoming more and more serious, and there is a huge space for the development of renewable energy. In the new energy power generation system, in order to reduce the interference caused by renewable energy such as solar energy and wind energy to the system due to discontinuous and unstable power generation, it is necessary to equip an energy storage unit with a certain capacity. Compared with a single energy storage unit, a hybrid energy storage system composed of a battery and a supercapacitor has the advantages of complementary characteristics and prolonging the service life of the battery, and is widely used in prac...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/32H02J7/34
CPCH02J3/32H02J7/345
Inventor 曹以龙吴丹涂少博朱冬冬江友华
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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