Published November 1, 2017 | Version v1
Journal article

Study on detection method of distorted voltage sag in distribution network under the background of incorporating new energy

  • 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/10.1088/1755-1315/93/1/012042

Additional details

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