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基于神經(jīng)網(wǎng)絡(luò )的配網(wǎng)系統光伏輸出功率控制分析
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南瑞集團有限公司國網(wǎng)電力科學(xué)研究院有限公司南京 210000

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Analysis of Photovoltaic Output Power Control of Distribution Network System Based on Neural Network
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    摘要:

    隨著(zhù)目前世界上的能源需求愈發(fā)擴大,光伏發(fā)電憑借其儲備量大,且清潔無(wú)污染的特性,逐步成為目前新能源發(fā)電的主流,但是,由于光伏發(fā)電效率受到環(huán)境光照強度的影響,因此,其輸出功率時(shí)時(shí)發(fā)生變化,所以,目前光伏電池的最大功率跟蹤(Most Power Point Trace,MPPT)與控制技術(shù)已經(jīng)成為了業(yè)界最為關(guān)注的問(wèn)題。針對該問(wèn)題,本文利用BP神經(jīng)網(wǎng)絡(luò )技術(shù)對光伏電池的最大輸出功率進(jìn)行檢測以及控制,通過(guò)對光伏系統以及人工神經(jīng)網(wǎng)絡(luò )的基本原理進(jìn)行介紹,引入了BP神經(jīng)網(wǎng)絡(luò )的基本概念,最后搭建了基于BP神經(jīng)網(wǎng)絡(luò )的配網(wǎng)光伏輸出功率控制系統,通過(guò)仿真,證明了其理論的可行性與正確性,能夠為我國光伏產(chǎn)業(yè)提供一定幫助。

    Abstract:

    With the increasing demand for energy in the world, photovoltaic power generation has gradually become the mainstream of new energy power generation due to its large reserve volume and clean and non-polluting characteristics. However, because the efficiency of photovoltaic power generation is affected by the environmental lighting intensity, so, Its output power changes from time to time, so at present, the maximum power tracking(MPPT) and control technology of photovoltaic cells have become the most concerned issues in the industry. Aiming at this problem, this paper uses BP neural network technology to detect and control the maximum output power of photovoltaic cells. By introducing the basic principles of photovoltaic systems and artificial neural networks, the basic concept of BP neural network is introduced. Finally, a power control system based on BP neural network is built. Through simulation, the feasibility and correctness of the theory are proved, which can provide some help to the photovoltaic industry in China.

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孟慶強,劉銘.基于神經(jīng)網(wǎng)絡(luò )的配網(wǎng)系統光伏輸出功率控制分析計算機測量與控制[J].,2019,27(11):115-119.

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  • 收稿日期:2019-08-01
  • 最后修改日期:2019-08-23
  • 錄用日期:2019-08-26
  • 在線(xiàn)發(fā)布日期: 2019-11-18
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