Title :
Unit Commitment With Ideal and Generic Energy Storage Units
Author :
Pozo, David ; Contreras, Javier ; Sauma, Enzo E.
Author_Institution :
Ind. & Syst. Eng. Dept., Pontificia Univ. Catolica de Chile, Santiago, Chile
Abstract :
Intermittence and variability of renewable resources is often a barrier to their large scale integration into power systems. We propose a stochastic real-time unit commitment to deal with the stochasticity and intermittence of non-dispatchable renewable resources including ideal and generic energy storage devices. Firstly, we present a mathematical definition of an ideal and generic storage device. This storage device definition has some mathematical advantages: 1) it can be easily integrated within complex optimization problems, 2) it can be modeled using linear programming, suitable for practical large-scale cases. Secondly, a stochastic unit commitment with ideal and generic storage devices and intermittent generation is proposed to solve the joint energy-and-reserves scheduling and real-time power balance problem, reflecting the minute-by-minute intermittent changes and the stochasticity of renewable resources. We also compare our results with those obtained using a deterministic unit commitment with perfect information. The proposed model is illustrated with a 24-bus system.
Keywords :
energy storage; linear programming; power generation dispatch; power generation scheduling; renewable energy sources; 24-bus system; complex optimization problems; deterministic unit commitment; generic energy storage units; ideal energy storage units; intermittent generation; joint energy-and-reserves scheduling; large scale integration; linear programming; mathematical definition; nondispatchable renewable resources; power balance problem; power systems; stochastic real-time unit commitment; Energy storage; Mathematical model; Mixed integer linear programming; Optimization; Production; Real-time systems; Stochastic processes; Mixed-integer linear programming (MILP); real-time unit commitment; storage devices; two-stage optimization model;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2014.2313513