Synchrophasor Data Compression Under Disturbance Conditions via Cross-Entropy-Based Singular Value Decomposition

Wang, Weikang; Chang, Chen; Yao, Wenxuan; Sun, Kaiqi; Qiu, Wei; Li, Fangxing

doi:10.1109/tii.2020.3005414

Cited by 21 publications

(8 citation statements)

References 28 publications

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“…(10) If the maximum number of cycles MCN is reached, formula ( 11) is entered, otherwise, it returns to formula (3). e loop of formula (11) ends. e optimal solution at this time is the global optimal solution, and the corresponding nectar source is the minimum value of the sought function.…”

Section: Penalty Function Of Voltage Exceeding Limitmentioning

confidence: 99%

“…Literature [10] considers the uncertainty between the outputs of various distributed power sources and uses a weighted hybrid two-dimensional Copula model to deal with the correlation between the two power sources of wind and solar to establish its probability joint density function to reconstruct the distribution network. Literature [11] is based on the theory that there is a strong correlation between wind speeds and solar irradiance between adjacent positions in the same wind belt and the same radiation belt in the distribution network and considers the correlation between wind speed and irradiance intensity based on Nataf transformation. It is necessary to reconstruct the distribution network with distributed power generation.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimization of Intelligent Distribution of Distribution Network in the Presence of Distributed Sources

Song

Nie

Fan

2022

Journal of Robotics

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In order to improve the intelligent distribution effect of the distribution network in the presence of distributed generation, this study combines intelligent algorithms to analyze the intelligent distribution of the distribution network in the presence of distributed generation. Moreover, this study establishes an objective function composed of system network loss expectation, voltage stability index, and reactive power compensation equipment investment. In addition, this study improves the artificial bee colony algorithm through tabu search algorithm and genetic algorithm and obtains an improved TS-IABC algorithm. Finally, this study compares and tests the performance of different algorithms in the form of functions and simulations. The simulation results show that the optimal intelligent distribution method of the distribution network in the presence of distributed power generation proposed in this study has a good effect and can promote the intelligent distribution of the distribution network.

show abstract

Section: Penalty Function Of Voltage Exceeding Limitmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization of Intelligent Distribution of Distribution Network in the Presence of Distributed Sources

Song

Nie

Fan

2022

Journal of Robotics

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show abstract

“…Combined with the connotation of CD, a set of comprehensive evaluation index system that can reflect the CD of NE and regional power grids is constructed by defining and analyzing the coordinated planning mode of NE sources and regional power grids. e corresponding weights are constructed from the comprehensive evaluation model [11] and using this model to evaluate the CD degree of NE and regional power grids in the whole country [12] and draw relevant conclusions, in order to provide decisionmaking reference for the coordinated planning of NE and regional power grids [13].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Control Strategy of Multiemergency Power Supply Network System Connected to New Energy

Zhang

Zhong

Minfu

et al. 2022

Security and Communication Networks

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In order to improve the adaptive control effect of the multiemergency power supply networking system connected to new energy (NE), this paper studies the adaptive control strategy (ACS) of the multiemergency power supply networking system connected to NE by combining intelligent algorithms and determines the appropriate installation node of the distributed power supply according to the voltage stability index. Moreover, this paper proposes a method to optimize the distribution network feeder reorganization and distributed power configuration problems based on the fireworks algorithm to reduce the network loss and improve the voltage distribution. In addition, distribution network reorganization and distributed power configuration optimization can more effectively minimize network losses and improve voltage distribution. Through the experimental research, it can be seen that the ACS of the multiemergency power supply network system connected to NE proposed in this paper has the established effect.

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“…Gontijo [ 31 ] compresses power quality data with disturbances through segmentation, transformation, quantization, and entropy coding. He [ 32 ] combines cross-entropy and singular value decomposition to compress PMU signals. Karthika [ 33 ] proposed a data compression algorithm for an intelligent power distribution system based on singular value decomposition, which reduces the mean square error (MSE) after compression.…”

Section: Related Workmentioning

confidence: 99%

Deep Lossless Compression Algorithm Based on Arithmetic Coding for Power Data

Zhu

et al. 2022

Sensors

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Classical lossless compression algorithm highly relies on artificially designed encoding and quantification strategies for general purposes. With the rapid development of deep learning, data-driven methods based on the neural network can learn features and show better performance on specific data domains. We propose an efficient deep lossless compression algorithm, which uses arithmetic coding to quantify the network output. This scheme compares the training effects of Bi-directional Long Short-Term Memory (Bi-LSTM) and Transformers on minute-level power data that are not sparse in the time-frequency domain. The model can automatically extract features and adapt to the quantification of the probability distribution. The results of minute-level power data show that the average compression ratio (CR) is 4.06, which has a higher compression ratio than the classical entropy coding method.

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Synchrophasor Data Compression Under Disturbance Conditions via Cross-Entropy-Based Singular Value Decomposition

Cited by 21 publications

References 28 publications

Optimization of Intelligent Distribution of Distribution Network in the Presence of Distributed Sources

Optimization of Intelligent Distribution of Distribution Network in the Presence of Distributed Sources

Adaptive Control Strategy of Multiemergency Power Supply Network System Connected to New Energy

Deep Lossless Compression Algorithm Based on Arithmetic Coding for Power Data

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