Published July 1, 2019 | Version v1
Journal article

Reactive power optimization configuration for distribution network integrated with microgrids

  • 1. State Grid Yuncheng Power Supply Company, Shanxi Province (China)

Description

In recent years, distributed generation (DG) and microgrid develop rapidly in distribution network. With the increase of its penetration, the distribution network is faced with many operation challenges such as voltage violation and voltage flicker, etc. Thus, it is urgent to perform reasonable reactive power planning and optimize the operation strategy of reactive equipment to handle the arisen problems in the distribution network. This paper puts up with a reactive power configuration method, optimizing the operation of shunt capacitor bank (C) and static var generator (SVG). The genetic algorithm (GA) is applied to solve the model. It is proved by the modified IEEE33 system that the proposed model could effectively improve the voltage eligibility rate, reduce the grid loss and achieve better economy, which provides the reference for the reactive power optimization configuration for the future distribution network. The method could be applied in the situation of the integration of microgrid with large capacity generation with randomness. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1757-899X/563/5/052102

Additional details

Publishing Information

Journal Title
IOP Conference Series. Materials Science and Engineering (Online)
Journal Volume
563
Journal Issue
5
Journal Page Range
[6 p.]
ISSN
1757-899X

Conference

Title
International Conference on Advanced Electronic Materials, Computers and Materials Engineering
Acronym
AEMCME 2019
Dates
19-21 Apr 2019
Place
Changsha (China)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53007185
Subject category
S24: POWER TRANSMISSION AND DISTRIBUTION; S42: ENGINEERING;
Resource subtype / Literary indicator
Conference
Descriptors DEI
CAPACITORS; CAPACITY; ELECTRIC POTENTIAL; GENETIC ALGORITHMS; OPTIMIZATION; POWER DISTRIBUTION SYSTEMS; POWER TRANSMISSION
Descriptors DEC
ALGORITHMS; ELECTRICAL EQUIPMENT; EQUIPMENT; MATHEMATICAL LOGIC