2011 IEEE Power and Energy Society General Meeting 2011
DOI: 10.1109/pes.2011.6039898
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Cross-market optimization for hybrid energy storage systems

Abstract: A method is developed to generate optimal bid schedules for a hybrid energy storage system participating in both energy and regulation service markets. The hybrid energy storage system includes a fast-response component, such as a flywheel or battery, and a slow response component, such as a pumped-hydro or a conventional generator. This paper describes the objective function and constraints of the cross-market optimization problem. A genetic algorithm is used to solve the problem with a nonlinear penalty curv… Show more

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Cited by 6 publications
(2 citation statements)
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“…The problem framework allows the scheduling of ES to be treated as a linear optimization problem [2], [3], [7], [8], [9]. Receding horizon control (RHC) is used for control.…”
Section: Optimization-based Sizingmentioning
confidence: 99%
“…The problem framework allows the scheduling of ES to be treated as a linear optimization problem [2], [3], [7], [8], [9]. Receding horizon control (RHC) is used for control.…”
Section: Optimization-based Sizingmentioning
confidence: 99%
“…The low-pass filter (LPF) is usually used to decompose the low-frequency power and high-frequency power of the fluctuant loads [3,4], but the performance is not very well when it deals with the relatively medium-frequency loads. In addition, the intelligent algorithms are also used in hybrid energy storage system (HESS) [5,6,7], such as fuzzy control, artificial neural network, genetic algorithm. These intelligent algorithms are difficult to be realized by DSP because of their large amount of computation.…”
Section: Introductionmentioning
confidence: 99%