A practical optimization method for designing large PV plants

Kerekes, Tamás; Koutroulis, Eftichios; Eyigun, S.; Teodorescu, Remus; Katsanevakis, Markos; Séra, Dezső

doi:10.1109/isie.2011.5984476

Cited by 13 publications

(5 citation statements)

References 16 publications

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“…Accuracy of analytical models used for estimation of electrical energy production of photovoltaic power plants and systems is the key characteristic to determine tool expediency. Conventional analytical models are mathematical methods which use theoretical values indicated by solar panel manufacturer and estimated relations between energy production and meteorological input data in the surroundings of the production system [1,2]. The outdoor performance of PV module is strongly dependent on local climate conditions including radiation, ambient temperature, humidity, Sun spectrum distribution and dust [3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Reliable energy prediction method for grid connected photovoltaic power plants situated in hot and dry climatic condition

Chakraborty¹

2020

SN Appl. Sci.

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This paper presents a mathematical model to predict the energy generation of photovoltaic power plant in hot and humid climatic condition. This model is based on meteorological data and laboratory tested solar module parameters with twenty-four inputs and one output. In addition the twenty-four inputs drive an equation to calculate final energy generation from photovoltaic power plant. Validation of the proposed model was done by comparing the results of predicted energy generation using proposed model and PVWATT software model for two existing PV power plants of India. Monthly and annual energy production and errors will be the main criteria for the selection of batter model. The result shows that in comparison with PVWATT software proposed model was found to be more efficient and accurate to predict energy generation and proposed model also reduces mean absolute percentage error and root mean square error significantly compared to PVWATT software for hot and humid climatic condition.

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Section: Introductionmentioning

confidence: 99%

Reliable energy prediction method for grid connected photovoltaic power plants situated in hot and dry climatic condition

Chakraborty¹

2020

SN Appl. Sci.

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“…In 2011, authors in [110] proposed optimization methods for large PV plant design using Greece's time series of one minute average solar radiation data. The researchers optimize the proposed system by maximizing energy production.…”

Section: Genetic Algorithm (Ga)mentioning

confidence: 99%

“…In 2012, the same authors from [110] proposed a new optimization method for large PV plant in [113]. By using GA simulation, optimum PV module distribution, optimum PV rows, distance between rows and tilt angle was determined.…”

Section: Genetic Algorithm (Ga)mentioning

confidence: 99%

“…However, this technique has limitation, where the researchers can only use the calculation and layout for land in south direction only. Several past studies [3,22,[109][110][111][112] designed more complicated sizing in land space area, where PV modules tilt angle, maximum land space area, and shading effect was considered in order to find optimal arrangement of PV modules in the available installation area. The system layout is as shown in Figure 5 below, where D is space between collector rows, L c is collector length, H is collector height, E max is limit of collector's height from ground, W is land width, β is module tilt angle, K is rows number, L m is module length, and H m is module width.…”

Section: Space Constraintmentioning

confidence: 99%

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Photovoltaic Power Systems Optimization Research Status: A Review of Criteria, Constrains, Models, Techniques, and Software Tools

Alsadi

Khatib

2018

Applied Sciences

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The photovoltaic (PV) generating system has high potential, since the system is clean, environmental friendly and has secure energy sources. There are two types of PV system, which are grid connected and standalone systems. In the grid connected photovoltaic system (GCPV), PV generator supplies power to the grid, whether or not the whole or a portion of the generated energy will be used to supply load demands. Meanwhile, the standalone photovoltaic system (SAPV) is used to fulfil a load demand that close to its point of use. These days, many researchers study in term of optimization sizing of photovoltaic system, in order to select optimum number of PV modules, inverter, battery storage capacity, and tilt angle. Based on that, this review aims to give explanations on approaches done by previous researchers in order to find ultimate combinations for design parameters. Moreover, the paper discusses on modelling of PV system components, which includes PV panels’ output power estimation and battery system. Finally, simulation softwares that used as sizing tools in previous studies are reviewed and studied.

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“…Typical (<1000V) photovoltaic (PV) installations are subject to reduced dc-bus voltage utilization due to the effect of PV cell temperature and Maximum Power Point (MPPT) available voltage range. Attractive geographical locations in the US-Canada mountain and central regions are subject to extreme PV cells surface temperatures throughout the year, ranging from -20C to 70C, affecting both the PV plant open circuit voltage (V oc ) and MPP voltage of the power plant [1]. This makes the solar inverter design a complex task to allow such large dc-bus range.…”

Section: Introductionmentioning

confidence: 99%

DC-Bus Voltage Range Extension in 1500 V Photovoltaic Inverters

Serban

Ordonez

Pondiche

2015

IEEE J. Emerg. Sel. Topics Power Electron.

107

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Solar plants based on single-stage conversion photovoltaic (PV) inverters (no dc-dc boost stage) have gained popularity due to their simplicity, high efficiency, and cost-effectiveness. Existing PV plants mostly operate under 1000V and are subject to wide dc-bus voltage variations due to the effect of PV cell temperature and the voltage of the maximum power point (well below the open circuit voltage). In particular, attractive locations such as US-Canada mountain/central regions are subject to extreme PV surface temperatures, making the dc-bus voltage variation a challenge for single-stage solar inverters. This paper investigates 1500V solar inverters with a focus on dcbus voltage range extension capabilities through novel modulation and power devices utilization. A comparative analysis with the existing 1000V solar inverters is presented to illustrate the significant advantages of the wide dc-bus range in 1500V systems. A lower voltage limit in the dc-bus is achieved by employing a novel voltage-reactive power (V-Q) dc-bus control strategy and modified modulation. A higher dc-bus peak voltage is obtained by maximizing the utilization of power switches. As a result, the 1500V inverter dc-bus voltage issignificantly extended to capture energy under extreme PV surface temperatures, greatly improving the limited range of traditional 1000V inverters. Simulations and experimental results using a 3-phase 3-level neutral point clamped inverter level are presented to validate the proposed dc-bus extension range, control strategy, and modulation scheme. Index Terms-DC-bus voltage utilization, 1000V and 1500V PV systems, Third-harmonic zero-sequence, Three phase modulation.I.

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A practical optimization method for designing large PV plants

Cited by 13 publications

References 16 publications

Reliable energy prediction method for grid connected photovoltaic power plants situated in hot and dry climatic condition

Reliable energy prediction method for grid connected photovoltaic power plants situated in hot and dry climatic condition

Photovoltaic Power Systems Optimization Research Status: A Review of Criteria, Constrains, Models, Techniques, and Software Tools

DC-Bus Voltage Range Extension in 1500 V Photovoltaic Inverters

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