DocumentCode :
2604878
Title :
Impact of wind generation on load modeling of distribution network
Author :
Qian, Jun ; Li, Xinran ; Hui, Jinhua
Author_Institution :
Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, China
fYear :
2009
fDate :
6-7 April 2009
Firstpage :
1
Lastpage :
5
Abstract :
Distributed resources (such as wind turbines) can provide power to local loads in the electrical distribution system as well as benefits such as improved reliability. As more wind energy is connected to utility systems, it becomes important to understand and manage the impact of wind generation on system operations. This paper studies the impact of wind generation on load modeling of distribution network based on MATLAB simulation tools and theory of measurement-based method. It is pointed out that the synthetic load of distribution network including wind generation can be described by the generalized composite load model of asynchronous machine in parallel with static load. In order to exactly reflect the influence of wind generation on composite load model, the value of proportion of dynamic load must be extended to any real number. The validity of this composite load model with any proportion of dynamic load is testified by modeling of three typical operation styles under different capacity proportions of wind generation and load level in this paper.
Keywords :
asynchronous machines; distribution networks; wind power plants; MATLAB simulation tools; asynchronous machine; distributed resources; distribution network; electrical distribution system; generalized composite load model; load modeling; measurement-based method; synthetic load; utility systems; wind energy; wind generation; Energy management; Load modeling; MATLAB; Mathematical model; Power system management; Power system reliability; Testing; Wind energy; Wind energy generation; Wind turbines; Distributed generation; asynchronous machine; load modeling; parameter identification; static load; wind generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4934-7
Type :
conf
DOI :
10.1109/SUPERGEN.2009.5348295
Filename :
5348295
Link To Document :
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