Maximum Efficiency or Power Tracking of Stand-alone Small Scale Compressed Air Energy Storage System

Kokaew, Vorrapath; Moshrefi-Torbati, M.; Sharkh, Suleiman M.

doi:10.1016/j.egypro.2013.11.039

Cited by 20 publications

(32 citation statements)

References 4 publications

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“…Fortunately, the maximum power point (MPP) is very close to the maximum efficiency point (MEP), as seen in the previous publication [13] and also in Figure 1.5. Figure 1.5 illustrates the efficiency and power characteristics of the air motor.…”

Section: Flywheelsupporting

confidence: 49%

“…The figure indicates the slightly different air motor speed of the MPP and the MEP under pressure levels. Maximum power point tracking (MPPT), which requires a few sensors and does not require the a priori knowledge of the air motor characteristics, is an attractive alternative to MEPT [13,14]. The aim of the research work presented in this thesis therefore focuses on MPPT of SS-CAES.…”

Section: Flywheelmentioning

confidence: 99%

“…This model has already been analysed in Appendix B and reported in [13,70,16]. The inductor current in the frequency domain I L (s) therefore, is given as…”

Section: A Small Signal Modelmentioning

confidence: 99%

“…The design of a speed regulator is also presented in this chapter. Chapter 3 describes the work on MPP using the motor characteristics lookup table approach and the MEPT approach that was published in [13]. Chapter 4 describes the hybrid MPPT system which avoids confusion under pressure fluctuations.…”

Section: Thesis Outlinementioning

confidence: 99%

“…In [87,88], for example, a fuel cell model indicates that the operating point of the current density provides different MPP and MEP. The air motor in SS-CAES also provides a different operating point for speed [13]. The maximum efficiency point tracking (MEPT) and the The air motor model is firstly characterised to point out the different operating points of the speed and this is presented in the next section.…”

Section: Maximum Efficiency or Power Point Of Ss-caesmentioning

confidence: 99%

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Maximum Power Point Tracking of a Small-Scale Compressed Air Energy Storage System

Kokaew

Sharkh²,

Moshrefi-Torbati

2016

IEEE Trans. Ind. Electron.

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The thesis is concerned with a small-scale compressed air energy storage (SS-CAES) system. Although these systems have relatively low energy density, they offer advantages of low environmental impact and ease of maintenance.The thesis focuses on solving a number of commonly known problems related to the perturb and observe (P&O) maximum power point tracking (MPPT) system for SS-CAES, including confusion under input power fluctuation conditions and operating point dither.A test rig was designed and built to be used for validation of the theoretical work. The rig comprised an air motor driving a permanent magnet DC generator whose power output is controlled by a buck converter. A speed control system was designed and implemented using a dSPACE controller. This enabled fast convergence of MPPT.Four MPPT systems were investigated. In the first system, the air motor characteristics were used to determine the operating speed corresponding to MPP for a given pressure. This was compared to a maximum efficiency point tracking (MEPT) system. Operating at the maximum power point resulted in 1% loss of efficiency compared to operating at the maximum efficiency point. But MPPT does not require an accurate model of the system that is needed for MEPT, which also requires more sensors.The second system that was investigated uses a hybrid MPPT approach that did not require a prior knowledge system model. It used the rate of change of power output with respect to the duty cycle of the buck converter as well as the change in duty cycle to avoid confusion under input power fluctuations. It also used a fine speed step in the vicinity of the MPP and a coarse speed step when the operating point was far from the MPP. Both simulation and experimental results demonstrate the efficiency of this proposed system. The third P&O MPPT system used a fuzzy logic approach which avoided confusion and eliminated operating point dither. This system was also implemented experimentally.A speed control system improved the controllable speed-range by using a buck-boost converter instead. The last MPPT system employed a hybrid P&O and incremental inductance (INC) approach to avoid confusion and eliminate operating point dither. The simulation results validate the design.Although the focus of the work is on SS-CAES, the results are generic in nature and could be applied to MPPT of other systems such as PV and wind turbine.

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Section: Flywheelsupporting

confidence: 49%

Section: Flywheelmentioning

confidence: 99%

“…This model has already been analysed in Appendix B and reported in [13,70,16]. The inductor current in the frequency domain I L (s) therefore, is given as…”

Section: A Small Signal Modelmentioning

confidence: 99%

Section: Thesis Outlinementioning

confidence: 99%

Section: Maximum Efficiency or Power Point Of Ss-caesmentioning

confidence: 99%

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Maximum Power Point Tracking of a Small-Scale Compressed Air Energy Storage System

Kokaew

Sharkh²,

Moshrefi-Torbati

2016

IEEE Trans. Ind. Electron.

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Maximum efficiency point tracking for an ocean thermal energy harvesting system

et al. 2020

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Summary Limited energy is the most critical factor that restricts the persistent presence of underwater vehicles in the oceans; thus, harvesting the ocean's thermal energy that is stored in the water column between the sea surface and deep water is a particularly promising solution for the current power shortage. This paper has designed a new ocean thermal energy conversion system which using phase change material as energy storage medium, and proposed a novel maximum efficiency point tracking (MEPT) method for energy conversion. This new method, which is integrated with a radial basis function neural network (RBFNN), particle swarm optimization (PSO) and the proportion integration differentiation (PID) control method, could effectively improve the efficiency of energy conversion. Compared with the power generation system that does not use the MEPT method, experimental results show that the proposed method can improve the efficiency of the power generation from less than 19.05% to more than 34.3% and has higher stability (using this method: the efficiency changes from 34.3%‐34.7%; without using this method: the efficiency changes from 13.56% ‐19.05%) when the load changes. This novel method can be used in many conditions, especially when the mathematical model of the generation system is unknown or researchers want to use fewer sensors for maximum efficiency point tracking.

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Dynamic performance and control scheme of variable-speed compressed air energy storage

Huang

Xu²,

Guo³

et al. 2022

Applied Energy

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Maximum Efficiency or Power Tracking of Stand-alone Small Scale Compressed Air Energy Storage System

Cited by 20 publications

References 4 publications

Maximum Power Point Tracking of a Small-Scale Compressed Air Energy Storage System

Maximum Power Point Tracking of a Small-Scale Compressed Air Energy Storage System

Maximum efficiency point tracking for an ocean thermal energy harvesting system

Dynamic performance and control scheme of variable-speed compressed air energy storage

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