Study on detection method of distorted voltage sag in distribution network under the background of incorporating new energy
Creators
- 1. SG HBEPC Economic & Technology Research Institute, Wuhan 430077, Hubei Province (China)
- 2. SG Huangshi Electric Power Supply Company, Huangshi 435000, Hubei Province (China)
Description
An advanced voltage sag detection method and compensation technique can improve the power quality of the distribution network to a entirely new level. A high performance voltage sag detection method demands fast response and good accuracy, even detecting distorted grid voltage sag caused by new energy accessing to distribution network. The voltage sag detection method, based on sliding window iterative discrete fourier transfer (DFT) algorithm, has excellent filtering ability but long detection time. On the other hand, the voltage sag detection method, based on nonrecursive DFT algorithm, has short detection time but poor filtering ability. Aiming to meet the requirements of fast response and good accuracy, this paper proposed a voltage sag detection method based on improved nonrecursive DFT algorithm. By means of disturbance filter, which is combined with several notch filters and a low-pass filter, the filter characteristic of nonrecursive DFT algorithm has been improved, and the detection delay time is reduced. The proposed algorithm can guarantee shorter detection time and higher detection accuracy. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1755-1315/93/1/012042Additional details
Identifiers
Publishing Information
- Journal Title
- IOP Conference Series: Earth and Environmental Science (Online)
- Journal Volume
- 93
- Journal Issue
- 1
- Journal Page Range
- [10 p.]
- ISSN
- 1755-1315
Conference
- Title
- International Conference on New Energy and Future Energy System
- Acronym
- NEFES 2017
- Dates
- 22-25 Sep 2017
- Place
- Kunming (China)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 52102765
- Subject category
- S24: POWER TRANSMISSION AND DISTRIBUTION; S29: ENERGY PLANNING, POLICY AND ECONOMY;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ACCURACY; ALGORITHMS; ELECTRIC POTENTIAL; ITERATIVE METHODS; PERFORMANCE; POWER DEMAND; POWER DISTRIBUTION SYSTEMS; POWER TRANSMISSION; TIME DELAY
- Descriptors DEC
- CALCULATION METHODS; DEMAND; MATHEMATICAL LOGIC