Distributed control method and device of micro-grid cost optimization

A distributed control and cost-optimized technology, applied to circuit devices, electrical components, AC network circuits, etc., can solve problems such as inability to guarantee voltage quality, low micro-source, and inability to include exponential functions

Active Publication Date: 2017-05-31
CENT SOUTH UNIV
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Problems solved by technology

[0006] However, there are more or less some defects and shortcomings in these methods, including the inability to achieve the purpose of generating more power from low-cost micro-sources and less power from high-cost micro-sources; a

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  • Distributed control method and device of micro-grid cost optimization
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  • Distributed control method and device of micro-grid cost optimization

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Embodiment Construction

[0056] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0057] Such as figure 1 As shown, a distributed control method for microgrid cost optimization, including:

[0058] S1, obtain the local output voltage and current, and obtain the output voltage and current of the adjacent micro-source;

[0059] S2. Based on the cost optimization control strategy, calculate the power and micro-increase rate of each micro-source, and make the local micro-increase rate and the micro-increase rate of adjacent micro-sources equal through PI adjustment to minimize the cost of the microgrid.

[0060] The distributed control method for microgrid cost optimization also includes:

[0061] S3. Based on the distributed voltage recovery strategy an...

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Abstract

The invention provides a distributed control method and device of micro-grid cost optimization. The method comprises the steps of S1, obtaining a local output voltage and current, and obtaining an output voltage and current of an adjacent micro-source; S2, based on a cost optimization control strategy, calculating the power and the tiny-increasing rate of each micro-source, and making the tiny-increasing rate of the local micro-source be equal to that of the adjacent micro-source through PI adjustment to ensure that the cost of the micro-grid is the lowest. According to the distributed control method and device of the micro-grid cost optimization, through the cost optimization control strategy, it is guaranteed that a generator with a low cost in a system has a preferable generation right; by constructing a Lagrangian function, an optimal generation power of each micro-source is obtained, and through the PI adjustment, the tiny-increasing rate of all micro-sources in the micro-grid is identical, so that the total generation cost of the whole system is made to be the lowest. On this basis, based on the distributed voltage recovery strategy, through the PI adjustment, an output voltage value of each micro-source is equal to an output voltage reference value, and voltage recovery is thus conducted.

Description

technical field [0001] The invention relates to the field of power grid control, and more specifically, to a distributed control method and device for cost optimization of a micro-grid. Background technique [0002] At present, with the gradual development and utilization of solar photovoltaic power generation, wind power generation and fuel cells, direct current (DC) microgrids are becoming more and more popular. Compared with AC microgrid, DC microgrid has unique advantages: no need to consider transformer inrush current, frequency synchronization and reactive power flow, it has the characteristics of large transmission capacity, high power supply reliability, and small system loss. [0003] In recent years, many researchers have conducted a lot of research on the network architecture and economic optimization level of DC microgrid. The energy management architecture can be divided into centralized and distributed. Centralized management has the advantages of maximizing ...

Claims

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Application Information

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IPC IPC(8): H02J3/00H02J3/46
CPCH02J3/00H02J3/46H02J2203/20
Inventor 孙尧王浩柳张杰韩华粟梅杨鹏
Owner CENT SOUTH UNIV
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