Optimal VAR Control Considering Wind Farms Using Probabilistic Load-Flow and Gray-Based Genetic Algorithms

Techniques for distributed generations (DGs) have attracted increasing attention due to considerations of environmental sustainability. Wind farms are one of the DGs, and they have intermittent characteristics. This paper presents a method using wind generator voltages, static compensators, and tran...

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Bibliographic Details
Published in:IEEE transactions on power delivery 2009-07, Vol.24 (3), p.1441-1449
Main Authors: HONG, Ying-Yi, LUO, Yi-Feng
Format: Article
Language:English
Subjects:
Applied sciences
Buses (vehicles)
Cumulant
Direct energy conversion and energy accumulation
Distributed control
Electric potential
Electric power plants
Electrical engineering. Electrical power engineering
Electrical machines
Electrical power engineering
Exact sciences and technology
Fluctuation
genetic algorithm (GA)
Genetic algorithms
gray code
Green products
Mathematical models
Miscellaneous
Non classical power plants
Operation. Load control. Reliability
Optimal control
Power networks and lines
Reactive power
reactive power control
Regulation and control
STATCOM
Sustainability
Voltage
Voltage control
Voltage fluctuations
Wind energy generation
wind farm
Wind farms
Wind power generation
Wind power plants
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Summary:Techniques for distributed generations (DGs) have attracted increasing attention due to considerations of environmental sustainability. Wind farms are one of the DGs, and they have intermittent characteristics. This paper presents a method using wind generator voltages, static compensators, and transformer taps as controllers to regulate the voltage profile for operation planning in a distribution system. Wind power generations and bus loads are modeled with random variables. Through gray-based genetic algorithms (GAs), the MW loss in the system is minimized and the operational constraints are fulfilled. Moreover, this paper uses the cumulant method to calculate the bus voltage fluctuation by using the algebraic addition and multiplication to avoid convolution. The probability density function of the voltage fluctuation can be further expressed by the Gram-Charlier series expansion. Applicability of the proposed method is verified through simulation by using a 17-bus system and an autonomous 24-bus (Penghu) system.
ISSN:0885-8977
1937-4208
DOI:10.1109/TPWRD.2009.2016625