DocumentCode :
157693
Title :
Assessment of effective dependable capacity for renewable power plants in Thailand´s power system
Author :
Sangpetch, Titiporn
Author_Institution :
Syst. Planning Div., Electr. Generating Authority of Thailand, Nonthaburi, Thailand
fYear :
2014
fDate :
7-10 July 2014
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents a study of the dependable capacity of renewable generation, undertaken within System Planning Division, Electricity Generating Authority of Thailand (EGAT), in 2011. In the study, reliability evaluation methods are chosen for an assessment of dependable capacities associated with system reliability indices to determine specific information for the long-term planning purposes. A review of generation profiles of renewable power plants is undertaken with specific targets of six sources, i.e. solar, wind, biomass, biogas, municipal solid waste, and mini-hydro. Obtained data of generation profiles are used to develop the probabilistic criteria for generation adequacy assessment, representing the nonlinear relationship of conventional and renewable power plants as a function of availability for system capacity planning. Later, the paper offers a mathematical model for dependable capacity assessment. The Probability Density Function (PDF) is adopted for different reliability indices to evaluate the dependable capacity on the basis of probabilistic actual generation profiles from the obtained data of power plants. Reliability evaluation methods - chronological and probabilistic - are deployed throughout analytical process. Lastly, the paper provides results from the analyses of the country´s survey data, along with a description of the dependable capacities onto six different renewable generating resources and variety of studied periods.
Keywords :
bioenergy conversion; biofuel; power generation planning; power generation reliability; solar power stations; waste-to-energy power plants; wind power plants; Electricity Generating Authority of Thailand; Thailand power system; biogas; biomass; effective dependable capacity; long-term planning; municipal solid waste; power plants; probabilistic actual generation; probability density function; reliability evaluation methods; renewable generating resources; renewable power plants; solar energy; system planning division; system reliability indices; wind energy; Biomass; Capacity planning; Power generation; Power system reliability; Probabilistic logic; Probability density function; Reliability; dependable capacity; probability density function; reliability evaluation methods; renewable power plants;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Probabilistic Methods Applied to Power Systems (PMAPS), 2014 International Conference on
Conference_Location :
Durham
Type :
conf
DOI :
10.1109/PMAPS.2014.6960678
Filename :
6960678
Link To Document :
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