基于遺傳算法的輸變電設(shè)備數(shù)據(jù)補全*
電子技術(shù)應(yīng)用
龍玉江，衛(wèi)薇，舒彧
（貴州電網(wǎng)有限責任公司信息中心，貴州 貴陽 550003）
摘要： 在數(shù)字孿生技術(shù)的發(fā)展下，我國電網(wǎng)行業(yè)也在由原來的物理電網(wǎng)逐步向數(shù)字電網(wǎng)發(fā)展。輸變電設(shè)備作為電網(wǎng)中的電能輸送和傳輸?shù)臉屑~設(shè)備，其運行的可靠性直接關(guān)系到電網(wǎng)的安全穩(wěn)定運行。因此，及時掌握輸變電設(shè)備當前的運行狀態(tài)以及未來一段時間的運行趨勢，實現(xiàn)對設(shè)備運行狀態(tài)的準確評估，對于保證設(shè)備安全可靠運行具有重要意義。然而，在目前的實際應(yīng)用過程中，受限于傳感裝置穩(wěn)定性差、現(xiàn)場運行環(huán)境惡劣、電磁環(huán)境復(fù)雜等原因，輸變電設(shè)備的狀態(tài)量數(shù)據(jù)會出現(xiàn)數(shù)據(jù)缺失造成獲得的數(shù)據(jù)質(zhì)量較差，這會直接影響設(shè)備狀態(tài)評估模型的準確性。提出一種基于遺傳算法的輸變電設(shè)備缺失數(shù)據(jù)補全方法，首先對變換域隨機賦值，然后通過實現(xiàn)稀疏域中系數(shù)向量最小化達到缺失點恢復(fù)的效果。實驗證明，該算法能夠準確地恢復(fù)缺失數(shù)據(jù)。
中圖分類號：TM744 文獻標志碼：A DOI: 10.16157/j.issn.0258-7998.233729
中文引用格式： 龍玉江，衛(wèi)薇，舒彧. 基于遺傳算法的輸變電設(shè)備數(shù)據(jù)補全[J]. 電子技術(shù)應(yīng)用，2023，49(9)：74-79.
英文引用格式： Long Yujiang，Wei Wei，Shu Yu. Data completion of power transmission and transformation equipment based on genetic algorithm[J]. Application of Electronic Technique，2023，49(9)：74-79.
中文引用格式： 龍玉江，衛(wèi)薇，舒彧. 基于遺傳算法的輸變電設(shè)備數(shù)據(jù)補全[J]. 電子技術(shù)應(yīng)用，2023，49(9)：74-79.
英文引用格式： Long Yujiang，Wei Wei，Shu Yu. Data completion of power transmission and transformation equipment based on genetic algorithm[J]. Application of Electronic Technique，2023，49(9)：74-79.
Data completion of power transmission and transformation equipment based on genetic algorithm
Long Yujiang，Wei Wei，Shu Yu
(Guizhou Power Grid Co.， Ltd. Information Center，Guiyang 550003，China)
Abstract： With the development of digital twin technology, the power grid industry in China is also gradually developing from the original physical power grid to the digital power grid. Power transmission and transformation equipment, as the pivot equipment of electric energy transmission and transmission in the power grid, the reliability of its operation is directly related to the safe and stable operation of the power grid. Therefore, it is of great significance to grasp the current operating status of the power transmission and transformation equipment and the operating trend of the future period of time, and to achieve an accurate evaluation of the equipment operating status, to ensure the safe and reliable operation of the equipment. However, in the current practical application process, limited by the poor stability of the sensing device, the harsh on-site operating environment, and the complex electromagnetic environment, the state quantity data of the power transmission and transformation equipment will be missing data, resulting in poor data quality. This directly affects the accuracy of the equipment condition assessment model. In this paper, a genetic algorithm-based method for missing data completion of power transmission and transformation equipment is proposed. The method first randomly assigns values to the transform domain, and then achieves the effect of missing point recovery by minimizing the coefficient vector in the sparse domain. Experiments show that the algorithm can recover missing data accurately.
Key words : digital twin；digital power grid；state assessment of power transmission and transformation equipment；data completion；genetic algorithm
0 引言
近些年來，大數(shù)據(jù)、物聯(lián)網(wǎng)以及云計算等數(shù)字技術(shù)的出現(xiàn)，促進了第四次工業(yè)革命的更進一步發(fā)展，同時也更好地提高了信息數(shù)據(jù)的收集、儲存以及共享的效率，使生產(chǎn)方式以及經(jīng)濟形態(tài)發(fā)生了整體上的變化，在這樣的背景下，數(shù)字經(jīng)濟也成為了我國實現(xiàn)高質(zhì)量發(fā)展的最主要動力之一[1]。
為滿足和適應(yīng)社會化、個性化、服務(wù)化、智能化、綠色化等制造發(fā)展的需求和趨勢，世界各國相繼提出了各自國家層面的制造發(fā)展戰(zhàn)略，這些制造發(fā)展戰(zhàn)略的共同目標之一就是要實現(xiàn)制造的物理世界和信息世界的互聯(lián)互通和智能化操作，進而實現(xiàn)智能制造[2]。而運用數(shù)字孿生技術(shù)對輸變電系統(tǒng)建立相應(yīng)的數(shù)字化模型，通過多維虛擬模型和融合數(shù)據(jù)雙驅(qū)動，將物理對象的數(shù)據(jù)和虛擬模型進行動態(tài)的交互，實現(xiàn)對物理對象的監(jiān)控、仿真、預(yù)測等實際功能，并在一定程度上做到物理對象和虛擬模型的共生。
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作者信息：
龍玉江，衛(wèi)薇，舒彧
（貴州電網(wǎng)有限責任公司信息中心，貴州 貴陽 550003）
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