Journal
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
Volume 6, Issue 3, Pages 1103-1111Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSTE.2014.2329881
Keywords
Compressed air energy storage (CAES); contingency analysis; integer programming; power generation dispatch; power system economics; power system reliability; pumped storage hydro (PSH); renewable resources; stochastic unit commitment
Categories
Funding
- Power Systems Engineering Research Center
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High penetration levels of renewable resources impose increasing uncertainty and variability on power system operations. Traditionally, power systems rely on conventional generators (CGs) to balance the uncertainty in renewable generation. However, as renewable penetration levels increase, CGs may suffer from higher operating costs while receiving lower profits. In contrast, since bulk energy storage can store and shift clean energy and have fast ramping capability, they may become more competitive under high renewable penetration levels. In this paper, a stochastic unit commitment model with energy storage will be presented to evaluate the short-term profitability of CGs and energy storage under different levels of renewable penetrations. The short-term profitability of CGs and energy storage units will be compared to identify the impact of increasing renewable penetration on the attractiveness of bulk energy storage in comparison to CGs.
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