Modelling Photovoltaic Systems Using PSpice®

Castañer, Luís; Silvestre, S.

doi:10.1002/0470855541

Cited by 325 publications

(243 citation statements)

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“…In addition, a series resistance, R s , is added to represent the resistance inside each cell, while shunt resistance, R p , is added to represent the saturation current of the diode. However, as a fair approximation, I R P , can be neglected because R p is assumed as a very large resistor [16]. The system is analyzed and tested experimentally in order to provide new data for such technology and to prove its applicability.…”

Section: Solar Cell Mathematical Modelmentioning

confidence: 99%

Simplified I-V Characteristic Tester for Photovoltaic Modules Using a DC-DC Boost Converter

2017

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Abstract:In this paper, an efficient testing system for measuring a PV module's I-V curve is proposed. The proposed system is based on a controlled DC-DC boost converter. The advantage of using a DC-DC converter is that this converter is typically used in PV systems to track the maximum power point and to control the charging of the battery. Consequently, this device is utilized for I-V curve extraction without the need for further external devices. The I-V curve is extracted by modifying the duty cycle of the triggering signal of the boost converter's switch. The proposed system has been tested experimentally using a 120 Wp PV module. The results show that the proposed system can successfully extract I-V curves of PV module. Notably, the performance of the tested module, as measured by this study's system as well as with a reference system, was found to be in the range of 61-67% of the performance given in the datasheet. Hence, this result highlights the importance of considering a measurement of the actual performance of PV modules when designing any PV system so as to avoid an undersized system. The proposed I-V testing system can be used as a simple tool to diagnose any shortages or low performance problems in PV system.

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Section: Solar Cell Mathematical Modelmentioning

confidence: 99%

Simplified I-V Characteristic Tester for Photovoltaic Modules Using a DC-DC Boost Converter

2017

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“…A common method of circuit simulation is the use of SPICE. In this work, MacSPICE is used to analyze the behavior of a PV array during various arc-fault conditions [9,10].…”

Section: Pv Modelmentioning

confidence: 99%

“…This model consists of an ideal current source with a value equal to the module short-circuit current (I sc ) in parallel with a diode and shunt resistance (R sh ) all in series with a series resistance (R s ). In order to increase the V oc of the module above the voltage drop of a regular diode (~0.6 V), the ideality constant of the diode (N) must be increased [9].…”

Section: Pv Modelmentioning

confidence: 99%

Electrical simulations of series and parallel PV arc-faults

Flicker

Johnson

2013

2013 IEEE 39th Photovoltaic Specialists Conference (PVSC)

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Abstract-Arcing in PV systems has caused multiple residential and commercial rooftop fires. The National Electrical Code® (NEC) added section 690.11 to mitigate this danger by requiring arc-fault circuit interrupters (AFCI). Currently, the requirement is only for series arc-faults, but to fully protect PV installations from arc-fault-generated fires, parallel arc-faults must also be mitigated effectively. In order to de-energize a parallel arc-fault without module-level disconnects, the type of arc-fault must be identified so that proper action can be taken (e.g., opening the array for a series arc-fault and shorting for a parallel arc-fault). In this work, we investigate the electrical behavior of the PV system during series and parallel arc-faults to (a) understand the arcing power available from different faults, (b) identify electrical characteristics that differentiate the two fault types, and (c) determine the location of the fault based on current or voltage of the faulted array. This information can be used to improve arc-fault detector speed and functionality.

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“…In particular, it has been demonstrated that the dark saturation current of I o just varies with the ambient temperature T , independent on the irradiance condition G [41,16]. Furthermore, for a high-quality solar cell, it typically has a low series resistance R s but a high parallel resistance R sh .…”

Section: Solar Power Modelmentioning

confidence: 99%

GreenWare: Greening Cloud-Scale Data Centers to Maximize the Use of Renewable Energy

Zhang

Wang

2011

Lecture Notes in Computer Science

138

111

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Abstract. To reduce the negative environmental implications (e.g., CO2 emission and global warming) caused by the rapidly increasing energy consumption, many Internet service operators have started taking various initiatives to operate their cloud-scale data centers with renewable energy. Unfortunately, due to the intermittent nature of renewable energy sources such as wind turbines and solar panels, currently renewable energy is often more expensive than brown energy that is produced with conventional fossil-based fuel. As a result, utilizing renewable energy may impose a considerable pressure on the sometimes stringent operation budgets of Internet service operators. Therefore, two key questions faced by many cloud-service operators are 1) how to dynamically distribute service requests among data centers in different geographical locations, based on the local weather conditions, to maximize the use of renewable energy, and 2) how to do that within their allowed operation budgets.In this paper, we propose GreenWare, a novel middleware system that conducts dynamic request dispatching to maximize the percentage of renewable energy used to power a network of distributed data centers, subject to the desired cost budget of the Internet service operator. Our solution first explicitly models the intermittent generation of renewable energy, e.g., wind power and solar power, with respect to varying weather conditions in the geographical location of each data center. We then formulate the core objective of GreenWare as a constrained optimization problem and propose an efficient request dispatching algorithm based on linear-fractional programming (LFP). We evaluate GreenWare with realworld weather, electricity price, and workload traces. Our experimental results show that GreenWare can significantly increase the use of renewable energy in cloud-scale data centers without violating the desired cost budget, despite the intermittent supplies of renewable energy in different locations and time-varying electricity prices and workloads.

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Modelling Photovoltaic Systems Using PSpice®

Cited by 325 publications

References 0 publications

Simplified I-V Characteristic Tester for Photovoltaic Modules Using a DC-DC Boost Converter

Simplified I-V Characteristic Tester for Photovoltaic Modules Using a DC-DC Boost Converter

Electrical simulations of series and parallel PV arc-faults

GreenWare: Greening Cloud-Scale Data Centers to Maximize the Use of Renewable Energy

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