DocumentCode :
24764
Title :
Distributed Generators as Providers of Reactive Power Support—A Market Approach
Author :
Rueda-Medina, Augusto C. ; Padilha-Feltrin, A.
Author_Institution :
Univ. Estadual Paulista (UNESP-Ilha Solteira), Sao Paulo, Brazil
Volume :
28
Issue :
1
fYear :
2013
fDate :
Feb. 2013
Firstpage :
490
Lastpage :
502
Abstract :
Traditionally, ancillary services are supplied by large conventional generators. However, with the huge penetration of distributed generators (DGs) as a result of the growing interest in satisfying energy requirements, and considering the benefits that they can bring along to the electrical system and to the environment, it appears reasonable to assume that ancillary services could also be provided by DGs in an economical and efficient way. In this paper, a settlement procedure for a reactive power market for DGs in distribution systems is proposed. Attention is directed to wind turbines connected to the network through synchronous generators with permanent magnets and doubly-fed induction generators. The generation uncertainty of this kind of DG is reduced by running a multi-objective optimization algorithm in multiple probabilistic scenarios through the Monte Carlo method and by representing the active power generated by the DGs through Markov models. The objectives to be minimized are the payments of the distribution system operator to the DGs for reactive power, the curtailment of transactions committed in an active power market previously settled, the losses in the lines of the network, and a voltage profile index. The proposed methodology was tested using a modified IEEE 37-bus distribution test system.
Keywords :
IEEE standards; Markov processes; Monte Carlo methods; asynchronous generators; distributed power generation; losses; optimisation; permanent magnet generators; power distribution economics; power distribution lines; power markets; reactive power; synchronous generators; wind turbines; DG; IEEE 37-bus distribution test system; Markov model; Monte Carlo method; ancillary service; distributed generator; distribution network line; doubly-fed induction generator; loss; multiobjective optimization algorithm; multiple probabilistic scenario; permanent magnet generator; reactive power market approach; synchronous generator; voltage profile index; wind turbine; Equations; Generators; Indexes; Power generation; Production; Reactive power; Uncertainty; Distributed generators; Markov models; Monte Carlo method; distribution systems; multi-objective optimization; power generation; reactive power market; uncertainty;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2012.2202926
Filename :
6239633
Link To Document :
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