RESEARCH ON THE INTELLIGENT RECONSTRUCTION METHOD OF HARMONIC SIGNAL UNDER MULTI-OBJECTIVE FAULT INTERFERENCE
Creators
- 1. State Grid Xinxiang Power Supply Company Electric power dispatching and control center, Henan, Xinxiang, 453000 (China)
Description
At present, most of the research on the intelligent reconstruction of harmonic signal of power grid focuses on the reconstruction of signal. However, many signal processing does not require accurate signal reconstruction. For example, in the problem of harmonic reconstruction of the power grid, if the harmonic signal of the power grid can be detected directly from the intelligent reconstruction data, there is no need to reconstruct the original harmonic signal. In order to use the network harmonic signal reconstruction algorithm to directly extract the required characteristic quantity from the sampling value to complete the signal detection task. Therefore, the research on the intelligent reconstruction method of harmonic signal under multi-objective fault interference is proposed. The sparse degree and reconstruction matrix of harmonic signals of the power grid are determined through the intelligent reconstruction framework of harmonic signals of the power grid, and an algorithm for the reconstruction of harmonic signals of the power grid is proposed to realize the reconstruction of harmonic signals of the power grid. Simulation results show that this method has high precision in detecting harmonic signal and high precision in detecting harmonic signal. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1757-899X/631/4/042006Additional details
Identifiers
Publishing Information
- Journal Title
- IOP Conference Series. Materials Science and Engineering (Online)
- Journal Volume
- 631
- Journal Issue
- 4
- Journal Page Range
- [8 p.]
- ISSN
- 1757-899X
Conference
- Title
- 5. International Conference on Applied Materials and Manufacturing Technology
- Dates
- 21-23 Jun 2019
- Place
- Singapore (Singapore)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 52121378
- Subject category
- S42: ENGINEERING;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ACCURACY; ALGORITHMS; COMPUTERIZED SIMULATION; GRIDS; HARMONICS; INTERFERENCE; MATRICES; SAMPLING; SIGNALS
- Descriptors DEC
- ELECTRODES; MATHEMATICAL LOGIC; OSCILLATIONS; SIMULATION