Intelligent power distribution method of independent direct-current microgrid

A DC micro-grid, smart power technology, applied in the direction of load balancing in the DC network, parallel operation of DC power supplies, etc.

Active Publication Date: 2015-04-29
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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  • Application Information

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Problems solved by technology

However, it requires both real-time and training data which must cover a wide range of load variations

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  • Intelligent power distribution method of independent direct-current microgrid
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Embodiment Construction

[0063] In the following, the present invention will be further described from the aspects of model establishment, design principle, design method, and validity verification.

[0064] (1) Modeling of traditional droop control:

[0065] a) Droop control theory and power flow analysis

[0066] The DC power between the two nodes of the line impedance at the DG output forms a power flow, and the droop control method in the DC microgrid is proposed based on this power flow. Such as figure 1 The schematic diagram of the power flow in the DC microgrid shown, node A at both ends of the line impedance i and B i The DC voltage at the V oi and V di to represent respectively, the line resistance between two nodes can be expressed by R Li to indicate that the subscript i represents the number of the distributed generation unit in the DC microgrid. The instantaneous power P of each DC unit injected by distributed power into the grid i It can be calculated by the following formula:

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Abstract

The invention relates to an intelligent power distribution method of an independent direct-current microgrid. The intelligent power distribution method comprises the following steps of: accurately describing the relation between voltage and output power by adopting a nonlinear droop characteristic to obtain a relational expression of a direct-current voltage amplitude value and active power; designing a droop power controller by utilizing the obtained nonlinear droop characteristic, and applying to microgrid control; establishing a state space model of a direct-current microgrid control system, carrying out integral fuzzy modeling on the obtained state space model through a T-S fuzzy method, and designing a sliding model droop controller on the basis of the established T-S fuzzy state space model to automatically distribute the output power of various direct-current sources. According to the intelligent power distribution method, the state space model established by adopting the nonlinear characteristic can more accurately simulate the actual operating characteristic of a distributed power generation unit; in addition, a non-matched robust droop controller is designed on the basis of the T-S fuzzy model by utilizing a sliding model control method, so that the adaptability of a system on disturbance can be ensured, and the uncertainty and intermittence of renewable energy can be neglected to a certain degree.

Description

technical field [0001] The invention relates to a grid power distribution method, in particular to an independent DC micro-grid intelligent power distribution method. Background technique [0002] Due to higher requirements in terms of environmental protection, scalability and flexibility, distributed generation has become a more attractive option for modern or future grids. Due to the widespread use of distributed generation today, there has been growing research interest in microgrids, which are clusters of loads and distributed energy sources that serve as a control system to provide stable, economical and environmentally friendly power to local loads For energy, see the following four documents for details: [0003] 1. R. Lasseter, “Microgrids,” in Proc. IEEE Power Eng. Soc. Winter Meet., 2002, pp.305–308. [0004] 2. S.K.Mazumder, M.Tahir and K.Acharya, "Master–Slave Current-Sharing Control of a Parallel DC-DC Converter System Over an RF Communication Interface", IEEE...

Claims

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Application Information

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IPC IPC(8): H02J1/10H02J1/14
CPCH02J1/12
Inventor 米阳张寒符杨夏洪亮韩云昊吴彦伟
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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