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Smart grid loss reduction method under control of super quantum evolution algorithm

A quantum evolutionary algorithm, microgrid technology, applied in electrical components, circuit devices, AC network circuits, etc.

Active Publication Date: 2016-03-02
南方电网海南数字电网研究院有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Judging from the current research status, there are almost no effective methods for rapid reconfiguration of microgrids for the purpose of loss reduction in the world.

Method used

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  • Smart grid loss reduction method under control of super quantum evolution algorithm
  • Smart grid loss reduction method under control of super quantum evolution algorithm
  • Smart grid loss reduction method under control of super quantum evolution algorithm

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Embodiment Construction

[0058] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0059] see figure 1 , in the embodiment of the present invention, the microgrid loss reduction method under the control of the super quantum evolution algorithm uses a 16-node microgrid system improved on the basis of the IEEE16-node distribution network system and can reflect the characteristics of a typical microgrid as a calculation example. The voltage in the system is 220V, and node 1 is where the switch connected to the main network is located, so there is no load. 2, ...

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Abstract

The invention discloses a smart grid loss reduction method under the control of a super quantum evolution algorithm. A combined means of a genetic algorithm and a quantum algorithm is adopted, a state vector expression of quantum is introduced to genetic coding, the chromosome evolution is achieved by means of a quantum logic gate, and a better effect than that of the conventional genetic algorithm is realized; and with regards to the characteristics of relatively low capacity of a smart grid system, relatively low voltage level and relative large network loss in the system and the demands of high intelligence and rapid response of a smart grid, optimization processing is carried out, so that the algorithm can meet the requirements of the smart grid for intelligence, rapid response and high reliability. By the smart grid loss reduction method under the control of the super quantum evolution algorithm, the improved quantum evolution algorithm is successfully applied to the smart grid system, the network loss of the smart grid system is maintained to be lowest in real time by the algorithm, the electric energy quality of the smart grid system is improved, the system reliability is improved, a technical blank in the field of smart grid reconstruction calculation is filled, and actual significance is brought to energy saving and emission reduction of the smart gird and improvement on the reliability of the power system.

Description

technical field [0001] The invention relates to the field of intelligent control of micro-grids in electric power systems, in particular to a method for reducing losses of micro-grids under the control of a super quantum evolutionary algorithm. Background technique [0002] Microgrid (SmartGrid) is a small-scale decentralized independent system, which uses a large number of modern power technologies to combine gas turbines, wind power, photovoltaic power generation, fuel cells and energy storage equipment, etc., directly connected to the user side. For the large grid, the microgrid can be considered as a controllable unit in the large grid, which can act within seconds to meet the needs of the external transmission and distribution network; for users, the microgrid can meet their specific needs. Requirements, such as increasing local reliability, reducing feeder loss, maintaining local voltage stability, improving energy utilization efficiency by utilizing part of the waste ...

Claims

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Application Information

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IPC IPC(8): H02J3/00H02J3/38G06N3/12
CPCG06N3/12H02J3/00H02J3/38H02J3/388H02J2203/20Y02P80/14
Inventor 刘懋
Owner 南方电网海南数字电网研究院有限公司
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