Versatile high-fidelity photovoltaic module emulation system

Lee, Myeong Soo; Kim, Younghyun; Wang, Hong; Chang,; Pedram,; Han, Sang-Min

doi:10.1109/islped.2011.5993613

Cited by 26 publications

(12 citation statements)

References 17 publications

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“…The PV panel output voltage and current satisfy certain V-I characteristics given the solar irradiance , as shown from the PV model in [18] [19].…”

Section: Component Modelsmentioning

confidence: 99%

A framework of concurrent task scheduling and dynamic voltage and frequency scaling in real-time embedded systems with energy harvesting

Lin¹,

Wang²,

Yue³

et al. 2013

International Symposium on Low Power Electronics and Design (ISLPED)

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Energy harvesting is a promising technique to overcome the limitation imposed by the finite energy capacity of batteries in conventional battery-powered embedded systems. In particular, the question of how one can achieve full energy autonomy (i.e., perpetual, battery-free operation) of a real-time embedded system with an energy harvesting capability (RTES-EH) by applying a global control strategy is investigated. The energy harvesting module is comprised of a Photovoltaic (PV) panel for harvesting energy and a supercapacitor for storing any excess energy. The global controller performs optimal operating point tracking for the PV panel, state-ofcharge management for the supercapacitor, and energy-harvestingaware real-time task scheduling with dynamic voltage and frequency scaling (DVFS) in the embedded load device. The controller, which accounts for dynamic V-I characteristics of the PV panel, terminal voltage variation and self-leakage of the supercapacitor, and power losses in voltage converters, employs a cascaded feedback control structure with an inner control loop determining the V-I operating point of the PV panel and an outer supervisory control loop performing real-time task scheduling and setting the voltage and frequency level in the embedded load device (to keep the state-ofcharge of the supercapacitor in a desirable range). Experimental results show that the proposed global controller lowers the task drop rate in a RTES-EH by up to 60% compared with baseline controller within the same service time.

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“…The PV panel output voltage and current satisfy certain V-I characteristics given the solar irradiance , as shown from the PV model in [18] [19].…”

Section: Component Modelsmentioning

confidence: 99%

A framework of concurrent task scheduling and dynamic voltage and frequency scaling in real-time embedded systems with energy harvesting

Lin¹,

Wang²,

Yue³

et al. 2013

International Symposium on Low Power Electronics and Design (ISLPED)

Self Cite

View full text Add to dashboard Cite

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“…In the emulation mode, a real load is connected to the output of the emulation circuit and the solar model is written to the memory of the microcontroller which generates at runtime an appropriate voltage to drive the load. A similar approach is also presented by other authors which introduce solar panel emulation circuits controlled by means of a LabView PC [16][17][18].…”

Section: Emulationmentioning

confidence: 99%

A fast and accurate energy source emulator for wireless sensor networks

et al. 2016

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The capability to either minimize energy consumption in battery-operated devices, or to adequately exploit energy harvesting from various ambient sources, is central to the development and engineering of energy-neutral wireless sensor networks. However, the design of effective networked embedded systems targeting unlimited lifetime poses several challenges at different architectural levels. In particular, the heterogeneity, the variability, and the unpredictability of many energy sources, combined to changes in energy required by powered devices, make it difficult to obtain reproducible testing conditions, thus prompting the need of novel solutions addressing these issues. This paper introduces a novel embedded hardware-software solution aimed at emulating a wide spectrum of energy sources usually exploited to power sensor networks motes. The proposed system consists of a modular architecture featuring small factor form, low power requirements, and limited cost. An extensive experimental characterization confirms the validity of the embedded emulator in terms of flexibility, accuracy, and latency while a case study about the emulation of a lithium battery shows that the hardware-software platform does not introduce any measurable reduction of the accuracy of the model. The presented solution represents therefore a convenient solution for testing large-scale testbeds under realistic energy supply scenarios for wireless sensor networks.

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“…, dark saturation current at STC ,-. , PV cell series resistance C , PV cell parallel (shunt) resistance C , and diode ideality factor D , we adopt the method in [11] to extract their values. Therefore, based on this PV cell model, we can obtain I-V characteristics of a PV cell under any given environmental condition , .…”

Section: Component Models 21 Pv Cell Model and Characterizationmentioning

confidence: 99%

Near-optimal, dynamic module reconfiguration in a photovoltaic system to combat partial shading effects

Lin

Wang

Yue

et al. 2012

Proceedings of the 49th Annual Design Automation Conference

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Partial shading is a serious obstacle to effective utilization of photovoltaic (PV) systems since it can result in a significant output power degradation for the system. A PV system is organized as a series connection of PV modules, each module comprising of a number of series-parallel connected cells. This paper presents modified PV cell structures with integrated switches, imbalanced cell connection topologies for PV modules, and a dynamic programming algorithm to produce near-optimal reconfigurations of each PV module with the goal of maximizing the system output power level under any partial shading patterns. Through simulations, we have demonstrated up to a factor of 2.3X improvement in the output power level of a PV system comprised of 3 PV modules with 60 PV cells per module.

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Versatile high-fidelity photovoltaic module emulation system

Cited by 26 publications

References 17 publications

A framework of concurrent task scheduling and dynamic voltage and frequency scaling in real-time embedded systems with energy harvesting

A framework of concurrent task scheduling and dynamic voltage and frequency scaling in real-time embedded systems with energy harvesting

A fast and accurate energy source emulator for wireless sensor networks

Near-optimal, dynamic module reconfiguration in a photovoltaic system to combat partial shading effects

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