International Energy Agency PVPS Task 2: Analysis of the Operational Performance of the IEA Database PV Systems

Jahn, U.; Mayer, Didier; Heidenreich, Michael; Dahl, R.; Castello, S.; Clavadetscher, L.; Frölich, Andreas; Grimmig, B; Nasse, W.; Sakuta, K.; Sugiura, Tadatoshi; Borg, N.J.C.M. van der; Otterdijk, K. van

doi:10.4324/9781315074405-159

Cited by 27 publications

(26 citation statements)

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“…In developing/developed countries, access to electricity is still a dream for many remote communities since their locations are far from the reach of the conventional grid and have geographical constraints [1]. According to the report in [2], 1.2 billion people are still under darkness, and they use hitherto methods to light up the homes. All the countries, world energy agencies, and NGOs around the globe have given high importance to supply the power in a qualitative and quantitative manner so that remote communities are stimulated economically to obtain basic services [3].…”

Section: Introductionmentioning

confidence: 99%

Effective power management scheme for PV‐Battery‐DG integrated standalone DC microgrid

Pannala

Padhy

Agarwal

2020

IET Electric Power Applications

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Standalone DC microgrids (SDCMGs) are emerging as prominent solutions to remote customers. As these SDCMGs mainly depend on renewable energy sources to curb carbon emission, reliability of the system is lessened due to their intermittent nature. The battery could offer a solution to this problem as it is inherently enclosed by DC grid for power balancing, but the purpose may not be served completely due to high capital cost and maintenance. Thus, the diesel generator (DG) becomes a major alternative to overcome this issue because of low investment, high compatibility, and flexibility. However, DG inhibits with cranking delay, sluggish response and low fuel efficiency under frequent switching and variable loading scenarios. To suppress the issues, a new power management strategy (PMS) is developed to ensure proper coordination between different sources, storage devices and loads in SDCMG. In addition to this, an effective control scheme is also proposed to achieve seamless regulation of DC bus voltage even under extreme conditions. In this study, different SDCMG configuration is considered for testing and simulation of system is carried out in real‐time digital simulator to prove their viability. A scaled prototype is developed to validate simulation results and authenticate proposed PMS and control scheme.

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Section: Introductionmentioning

confidence: 99%

Effective power management scheme for PV‐Battery‐DG integrated standalone DC microgrid

Pannala

Padhy

Agarwal

2020

IET Electric Power Applications

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“…This study considers the evaluation of the operational and reliability performance of the grid-connected PV system based on the IEC standards (61836 and 61724) and reports from International Energy Agency (IEA) photovoltaic power systems program (Task 2) [76], [90], [91]. The performance analysis of grid-connected PV systems (as shown in Figure 3.2) is pivotal in assessing their operational performance under different climatic conditions and detection of operational issues [19].…”

Section: System Performance Analysismentioning

confidence: 99%

“…The reference yield, Y r , is a function of in-plane irradiation and estimated as the ratio of the total irradiation per day (or year) to the reference irradiance [76], [90]. Therefore, the daily Y r is calculated as:…”

Section: Reference Yieldmentioning

confidence: 99%

“…The ratio of the energy produced by the PV array (E A ) to the rated PV capacity (P O ) is referred to as the array yield, Y A . Losses such as the ones due to manufacturing tolerance, temperature, dirt and dust are taken into consideration in estimating Y A [76], [90]. It is therefore, calculated as:…”

Section: Pv Array Energy Yieldmentioning

confidence: 99%

“…The IEA PVPS Task 2 has been able to analyse and publish 170 gridconnected PV systems installed in various countries of the world [76]. In addition, over the previous years, various authors from different countries have published results of the performance analysis of their respective grid-connected PV units.…”

Section: Introductionmentioning

confidence: 99%

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Interconnection Impact Analysis of Solar Photovoltaic Systems with Distribution Networks

Emmanuel¹

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<p>As the solar PV technology continues to evolve as the most common distributed generation (DG) coupled with increasing interconnection requests, accurate modelling of the potential operational impacts of this game-changer is pivotal in order to maintain the reliability of the electric grid. The overall goal of this research is to conduct an interconnection impact analysis of solar PV systems at increasing penetration levels subject to the feeder constraints within the distribution network. This is carried out with a time series power flow analysis method to capture the time-varying nature of solar PV and load with their interactions with the distribution network device operations. Also, this thesis analyses multiple PV systems scenarios and a wide range of possible impacts to enable distribution system planners and operators understand and characterize grid operations with the integration of PV systems. An evaluation of the operational and reliability performance of a grid-connected PV system based on IEC standards and industry guides is performed to detect design failures and avoid unnecessary delays to PV penetration. The performance analysis metrics in this research allow cross-comparison between PV systems operating under different climatic conditions. This thesis shows the significant impact of temperature on the overall performance of the PV system. This research conducts an interconnection study for spatially distributed single-phase grid-tied PV systems with a five minute-resolution load and solar irradiance data on a typical distribution feeder. Also, this research compares the performance of generator models, PQ and P |V |, for connecting PV-DG with the distribution feeder with their respective computational costs for a converged power flow solution. More so, a method capable of computing the incremental capacity additions, measuring risks and upgrade deferral provided by PV systems deployments is investigated in this research. This thesis proposes surrogate metrics, energy exceeding normal rating and unserved energy, for evaluating system reliability and capacity usage which can be a very useful visualization tool for utilities. Also, sensitivity analysis is performed for optimal location of the PV system on the distribution network. This is important because optimal integration of PV systems is often near-optimal for network capacity relief issues as well. This thesis models the impact of centralized PV variability on the electric grid using the wavelet variability model (WVM) which considers the key factors that affect PV variability such as PV footprint, density and cloud movement over the entire PV plant. The upscaling advantage from a single module and point irradiance sensor to geographic smoothing over the entire PV footprint in WVM is used to simulate effects of a utility-interactive PV system on the distribution feeder. Further, the PV interconnection scenarios presented in this thesis have been modelled with different time scales ranging from seconds to hours in order to accurately capture and represent various impacts. The analysis and advancements presented in this thesis will help utilities and other stakeholders to develop realistic projections of PV systems impacts on the grid. Also, this research will assist in understanding and full characterization of PV integration with the grid to avoid unnecessary delays.</p>

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Identify, analyse and mitigate—Quantification of technical risks in PV power systems

Herz

Friesen

Jahn³

et al. 2022

Progress in Photovoltaics

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Technical risks are important criteria to consider when investing in new and existing PV installations. Quantitative knowledge of these risks is one of the key factors for the different stakeholders, such as asset managers, banks or project developers, to make reliable business decisions before and during the operation of their PV assets. Within the IEA PVPS Task 13 Expert Group, we aim to increase the knowledge on methodologies to assess technical risks and mitigation measures in terms of economic impact and effectiveness. The developed outline provides a reproducible and transparent technique to manage the complexity of risk analysis and processing in order to establish a common practice for professional risk assessment. Semi‐quantitative and quantitative methodologies are introduced to assess technical risks in PV power systems and provide examples of common technical risks described and rated in the new created PV failure fact sheets (PVFS). Besides the PVFS based on expert knowledge and expert opinion, an update on the statistics of the PV failure degradation survey is given. With the knowledge acquired and data collected, the risk and cost–benefit analysis is demonstrated in a case study that shows methods for prioritising decisions from an economic perspective and provided important results for risk managing strategies.

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International Energy Agency PVPS Task 2: Analysis of the Operational Performance of the IEA Database PV Systems

Cited by 27 publications

References 0 publications

Effective power management scheme for PV‐Battery‐DG integrated standalone DC microgrid

Effective power management scheme for PV‐Battery‐DG integrated standalone DC microgrid

Interconnection Impact Analysis of Solar Photovoltaic Systems with Distribution Networks

Identify, analyse and mitigate—Quantification of technical risks in PV power systems

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