CAJ | 학술논문

随着广域测量系统在电力系统越来越广泛的应用，大量PMU实测数据产生，为了高效的对数据进行传输、存储和应用，通过深入研究PMU数据的特点，利用波形相差法和坐标递减法对数据进行预处理，在处理基础上，利用改进的递归Huffman算法进行压缩。通过预处理和对解压缩算法的改进，提高压缩率，缩短了解压缩时间。
수착엄역측량계통재전력계통월래월엄범적응용，대량PMU실측수거산생，위료고효적대수거진행전수、존저화응용，통과심입연구PMU수거적특점，이용파형상차법화좌표체감법대수거진행예처리，재처리기출상，이용개진적체귀Huffman산법진행압축。통과예처리화대해압축산법적개진，제고압축솔，축단료해압축시간。
As the wide-area measurements system ( WAMS) is becoming more widely used in the power system, a large number of PMU measured data was generated.In order to transmit, store and apply the data efficiently, this pa-per studies the characteristics of the PMU in-depth and uses the waveform difference and the diminishing coordinates to preprocess the data, and then uses the recursion Huffman algorithm to compress on this basis.By pre-processing and improving compression algorithms, it optimizes the algorithm, and improves the compression ratio and shortens compression time.