DocumentCode
647697
Title
Evaluating and planning flexibility in sustainable power systems
Author
Ma, Jiaxin ; Silva, Valter ; Belhomme, Regine ; Kirschen, Daniel S. ; Ochoa, Luis F.
Author_Institution
Sch. of Electr. & Electron. Eng., Univ. of Manchester, Manchester, UK
fYear
2013
fDate
21-25 July 2013
Firstpage
1
Lastpage
11
Abstract
Power systems have traditionally been designed to provide flexibility in a context where demand is met by bulk generation. The integration of variable and uncertain renewable generation sources, such as wind, increases the flexibility needed to maintain the load-generation balance. This paper aims to provide a systematic approach to evaluate the flexibility level and investigate the role of flexibility in generation planning and market operation. An `offline´ index is proposed to estimate the technical ability of both the individual generators and the generation mix to provide the required flexibility. A dedicated unit construction and commitment (UCC) algorithm, able to consider plant investment and operation costs, is developed to determine the optimal investments in flexible generating units. Market simulation models are then implemented to determine the profits obtained from providing flexibility in different market designs. An adapted RTS-96 system is used to test the proposed models and the flexibility metric. Results demonstrate the validity of the UCC algorithm and the coherence of the proposed flexibility index. The analysis of the profits of flexibility shows that the market design plays an important role in the efficient deployment and subsequent profitability of flexibility resources.
Keywords
power generation dispatch; power generation economics; power generation scheduling; power markets; power system planning; renewable energy sources; flexibility index; flexibility level evaluation; generation planning; load-generation balance; market operation; offline index; operation cost; planning flexibility; plant investment; renewable generation source; sustainable power systems; unit commitment algorithm; unit construction algorithm; Generators; Indexes; Investment; Optimization; Power systems; Wind forecasting; Wind power generation; Flexibility index; balancing market; day-ahead market; market design; profitability; rolling clearing; unit commitment and construction; wind power;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location
Vancouver, BC
ISSN
1944-9925
Type
conf
DOI
10.1109/PESMG.2013.6672221
Filename
6672221
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