DocumentCode :
157539
Title :
Reliability evaluation of electric power systems with solar photovoltaic & energy storage
Author :
Koh, L.H. ; Wang Peng ; Tseng, King-Jet ; Gao ZhiYong
Author_Institution :
Energy Res. Inst. @ NTU, Nanyang Technol. Univ. (NTU), Singapore, Singapore
fYear :
2014
fDate :
7-10 July 2014
Firstpage :
1
Lastpage :
5
Abstract :
Renewable portfolio standards (RPS) place an obligation on independent service operators (ISOs) to have a minimum energy generation mix from an approved renewable energy source, e.g. photovoltaic (PV). The variability of PV power output impacts on electric power system reliability and energy storage (ES) is one of several options for better grid reliability. This paper convolves Roy Billinton Test System (RBTS) generation and load model, considering PV and ES to yield system adequacy indices at hierarchical level 1 (HL1) via an analytical technique. Uniform Singapore Energy Price (USEP) from the Energy Market Company (EMC) Singapore and NTU rooftop PV irradiance data are incorporated as parts of annual electricity cost saving research. The analytical technique proposed can help ISOs as first cut analysis to evaluate the potential of PV & ES to benefit system reliability and ways to improve its potential applications.
Keywords :
energy storage; investment; photovoltaic power systems; power generation economics; power generation reliability; power grids; solar power stations; EMC; ES; Energy Market Company Singapore; HL1; ISOs; NTU rooftop PV irradiance data; PV power output variability; RBTS generation; RPS; Roy Billinton test system; USEP; analytical technique; annual electricity cost saving research; electric power system reliability evaluation; energy storage; grid reliability; hierarchical level 1; independent service operators; load model; minimum energy generation mix; renewable energy source; renewable portfolio standards; solar photovoltaic; system adequacy indices; uniform Singapore energy price; Analytical models; Electricity; Energy storage; Load modeling; Power system reliability; Reliability; energy management; energy storage; photovoltaic; power system reliability;
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.2014.6960599
Filename :
6960599
Link To Document :
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