Effects of large-scale photovoltaic power integration on electricity distribution networks

Paatero, Jukka; Lund, Peter

doi:10.1016/j.renene.2006.01.005

Cited by 218 publications

(92 citation statements)

References 12 publications

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“…Researchers already have investigated the impacts of DG on the distribution grid [6][7][8][9][10]. Besides feed-in control strategies for DG [11], grid-balancing measures have also been investigated.…”

Section: Introductionmentioning

confidence: 99%

Battery Storage Systems as Grid-Balancing Measure in Low-Voltage Distribution Grids with Distributed Generation

et al. 2017

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Due to the promoted integration of renewable sources, a further growth of strongly transient, distributed generation is expected. Thus, the existing electrical grid may reach its physical limits. To counteract this, and to fully exploit the viable potential of renewables, grid-balancing measures are crucial. In this work, battery storage systems are embedded in a grid simulation to evaluate their potential for grid balancing. The overall setup is based on a real, low-voltage distribution grid topology, real smart meter household load profiles, and real photovoltaics load data. An autonomous optimization routine, driven by a one-way communicated incentive, determines the prospective battery operation mode. Different battery positions and incentives are compared to evaluate their impact. The configurations incorporate a baseline simulation without storage, a single, central battery storage or multiple, distributed battery storages which together have the same power and capacity. The incentives address either market conditions, grid balancing, optimal photovoltaic utilization, load shifting, or self-consumption. Simulations show that grid-balancing incentives result in lowest peak-to-average power ratios, while maintaining negligible voltage changes in comparison to a reference case. Incentives reflecting market conditions for electricity generation, such as real-time pricing, negatively influence the power quality, especially with respect to the peak-to-average power ratio. A central, feed-in-tied storage performs better in terms of minimizing the voltage drop/rise and shows lower distribution losses, while distributed storages attached at nodes with electricity generation by photovoltaics achieve lower peak-to-average power ratios.

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Section: Introductionmentioning

confidence: 99%

Battery Storage Systems as Grid-Balancing Measure in Low-Voltage Distribution Grids with Distributed Generation

et al. 2017

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“…Another approach is to use stochastic generation of whole sequential demand and generation data series. Examples of the latter approach are presented by Paatero and Lund [8] and Thomson and Ineld [9].…”

Section: Introductionmentioning

confidence: 99%

Impacts of distributed photovoltaics on network voltages: Stochastic simulations of three Swedish low-voltage distribution grids

Widén

Wäckelgård

Paatero³

et al. 2010

Electric Power Systems Research

120

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The continuously increasing application of distributed photovoltaics (PV-DG) in residential areas around the world calls for detailed assessment of distribution grid impacts. Both photovoltaic generation and domestic electricity demand exhibit characteristic variations on short and long time scales and are to a large extent negatively correlated, especially at high latitudes. This paper presents a stochastic methodology for simulation of PV-DG impacts on low-voltage (LV) distribution grids, using detailed generation and demand models. The methodology is applied to case studies of power ow in three existing Swedish LV grids to determine load matching, voltage levels and network losses at dierent PV-DG penetration levels. All studied LV grids can handle signicant amounts of PV-DG, up to the highest studied level of 5 kW p PV per household. However, the benets of PV-DG in terms of relative improvement of on-site reduction of demand, mitigated voltage drops and reduced losses were most signicant at a penetration level of 1 kW p PV per household.

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“…A variant of the latter approach is to construct detailed stochastic models of demand and PV generation that can be used in simulations of a speci c LV grid. Examples include Thomson and In eld's study of a whole MV feeder with underlying LV grids in the UK [8] and simulations of MV grids by Paatero and Lund [9].…”

Section: Introductionmentioning

confidence: 99%

Impacts of different data averaging times on statistical analysis of distributed domestic photovoltaic systems

Widén

Wäckelgård

Paatero³

et al. 2010

Solar Energy

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The trend of increasing application of distributed generation with solar photovoltaics (PV-DG) suggests that a widespread integration in existing low-voltage (LV) grids is possible in the future. With massive integration in LV grids, a major concern is the possible negative impacts of excess power injection from on-site generation. For power-ow simulations of such grid impacts, an important consideration is the time resolution of demand and generation data. This paper investigates the impact of time averaging on high-resolution data series of domestic electricity demand and PV-DG output and on voltages in a simulated LV grid. E ects of 10-minutely and hourly averaging on descriptive statistics and duration curves were determined. Although time averaging has a considerable impact on statistical properties of the demand in individual households, the impact is smaller on aggregate demand, already smoothed from random coincidence, and on PV-DG output. Consequently, the statistical distribution of simulated grid voltages was also robust against time averaging. The overall judgement is that statistical investigation of voltage variations in the presence of PV-DG does not require higher resolution than hourly.1

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Effects of large-scale photovoltaic power integration on electricity distribution networks

Cited by 218 publications

References 12 publications

Battery Storage Systems as Grid-Balancing Measure in Low-Voltage Distribution Grids with Distributed Generation

Battery Storage Systems as Grid-Balancing Measure in Low-Voltage Distribution Grids with Distributed Generation

Impacts of distributed photovoltaics on network voltages: Stochastic simulations of three Swedish low-voltage distribution grids

Impacts of different data averaging times on statistical analysis of distributed domestic photovoltaic systems

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