Coupling Pumped Hydro Energy Storage With Unit Commitment

被引:102
作者
Bruninx, Kenneth [1 ]
Dvorkin, Yury [2 ]
Delarue, Erik [1 ]
Pandzic, Hrvoje [3 ]
D'haeseleer, William [1 ]
Kirschen, Daniel S. [2 ]
机构
[1] Univ Leuven KU Leuven, Energy Inst, TME Branch Energy Convers, B-3001 Leuven, Belgium
[2] Univ Washington, Dept Elect Engn, Seattle, WA 98195 USA
[3] Univ Zagreb, Fac Elect Engn & Comp, HR-10000 Zagreb, Croatia
关键词
Flexibility; unit commitment; pumped hydro energy storage; stochastic optimization; interval optimization; wind energy; WIND POWER-GENERATION; VARIABLE GENERATION; TRANSMISSION; SYSTEM;
D O I
10.1109/TSTE.2015.2498555
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Renewable electricity generation not only provides affordable and emission-free electricity but also introduces additional complexity in the day-ahead planning procedure. To address the stochastic nature of renewable generation, system operators must schedule enough controllable generation to have the flexibility required to compensate unavoidable real-time mismatches between the production and consumption of electricity. This flexibility must be scheduled ahead of real-time and comes at a cost, which should be minimized without compromising the operational reliability of the system. Energy storage facilities, such as pumped hydro energy storage (PHES), can respond quickly to mismatches between demand and generation. Hydraulic constraints on the operation of PHES must be taken into account in the day-ahead scheduling problem, which is typically not done in deterministic models. Stochastic optimization enhances the procurement of flexibility, but requires more computational resources than conventional deterministic optimization. This paper proposes a deterministic and an interval unit commitment formulation for the co-optimization of controllable generation and PHES, including a representation of the hydraulic constraints of the PHES. The proposed unit commitment (UC) models are tested against a stochastic UC formulation on a model of the Belgian power system to compare the resulting operational cost, reliability, and computational requirements. The cost-effective regulating capabilities offered by the PHES yield significant operational cost reductions in both models, while the increase in calculation times is limited.
引用
收藏
页码:786 / 796
页数:11
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