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Smart micro-grid energy management quantum optimization method

An optimization method and energy management technology, applied in data processing applications, instruments, forecasting, etc., can solve the problems of micro-grid interaction, algorithm programming and algorithm time-consuming, not universal, etc., to achieve rich energy management mode, improve convergence, and achieve optimal results

Inactive Publication Date: 2014-12-17
SOUTHEAST UNIV
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Problems solved by technology

[0003] In microgrid energy management optimization, economic dispatch is often used as the energy management optimization goal. In addition, economy, environmental protection, and reliability are also used as multi-objective optimization, which has not reflected the interaction of microgrid.
[0004] In addition, the current energy management mostly uses intelligent algorithms such as genetic algorithm and particle swarm algorithm and improves them to realize the search for the optimal solution, but the algorithm programming is complicated and the algorithm is time-consuming and easy to converge, so it is not universal

Method used

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Embodiment Construction

[0065] The present invention will be further described below in conjunction with the accompanying drawings.

[0066] Such as figure 1 As shown, the smart microgrid energy management method is as follows:

[0067] Step 1. Electricity Generation and Consumption Forecast

[0068] Conduct research on the optimized area, including collecting load data and meteorological data (light, temperature and wind speed data) in the area, grasp the load demand in the area, model the output of photovoltaic and wind turbines based on the meteorological data, and have an impact on the overall optimization results important value.

[0069] Based on the meteorological data, select the temperature T, irradiance G, and wind speed V of similar days, and calculate their change trend u respectively, calculate the similarity of the change trend u, and normalize it, and calculate the temperature and irradiance at the next moment speed and wind speed. By predicting the temperature and irradiance of ph...

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Abstract

The invention discloses a smart micro-grid energy management quantum optimization method which can be applied to optimizing operation objectives including micro-grid economic dispatching, load demand response and interconnection tie power control, enables micro-grid energy management to reach a multifunctional operation mode and further promote micro-grid intelligentization. The smart micro-grid energy management quantum optimization method adopts the concept of quantum computing and the quantum genetic algorithm, and uses quantum bit coding chromosomes, the vector coding mechanism of the quantum probability and the quantum revolution door update strategy, thereby being capable of improving the global searching ability, avoiding the optimization results from converging at the locally optimal solution, solving complex optimization problems and being applied to the hybrid and multiple energy storage micro-grids.

Description

technical field [0001] The invention relates to the technical field of micro-grid energy optimization, in particular to a quantum optimization method for smart micro-grid energy management. Background technique [0002] With the global energy crisis and environmental problems highlighted, the micro-grid system with new energy and renewable energy as the main form of power generation has received extensive attention. Research on the energy management technology of microgrid will help to improve the economy and reliability of microgrid system operation, improve the operating efficiency of the system, help reduce carbon dioxide emissions, and also help provide customized electric energy services. [0003] In microgrid energy management optimization, economic dispatch is often used as the energy management optimization goal. In addition, economy, environmental protection, and reliability are also used as multi-objective optimization, which has not reflected the interaction of mi...

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
Inventor 吴在军费阳窦晓波胡敏强赵波孙旻孙纯军
Owner SOUTHEAST UNIV
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