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Impacts of different data averaging times on statistical analysis of distributed domestic photovoltaic systems
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Tekniska sektionen, Institutionen för teknikvetenskaper, Fasta tillståndets fysik. (Built Environment Energy Systems Group (BEESG))
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Tekniska sektionen, Institutionen för teknikvetenskaper, Fasta tillståndets fysik.
Helsinki University of Technology.
Helsinki University of Technology.
2010 (engelsk)Inngår i: Solar Energy, ISSN 0038-092X, E-ISSN 1471-1257, Vol. 84, nr 3, s. 492-500Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

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-flow 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. Effects 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.

sted, utgiver, år, opplag, sider
2010. Vol. 84, nr 3, s. 492-500
Emneord [en]
Time averaging, Photovoltaics, Domestic electricity demand, Distribution grid, Low voltage, Power flow
HSV kategori
Identifikatorer
URN: urn:nbn:se:uu:diva-132903DOI: 10.1016/j.solener.2010.01.011ISI: 000276119000018OAI: oai:DiVA.org:uu-132903DiVA, id: diva2:359588
Merknad

Correction in: Solar Energy, 2011, vol. 85, issue. 1, p. 214, doi:10.1016/j.solener.2010.11.015

Tilgjengelig fra: 2010-10-28 Laget: 2010-10-28 Sist oppdatert: 2017-12-12bibliografisk kontrollert
Inngår i avhandling
1. System Studies and Simulations of Distributed Photovoltaics in Sweden
Åpne denne publikasjonen i ny fane eller vindu >>System Studies and Simulations of Distributed Photovoltaics in Sweden
2010 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
Abstract [en]

Grid-connected photovoltaic (PV) capacity is increasing worldwide, mainly due to extensive subsidy schemes for renewable electricity generation. A majority of newly installed systems are distributed small-scale systems located in distribution grids, often at residential customers. Recent developments suggest that such distributed PV generation (PV-DG) could gain more interest in Sweden in the near future. With prospects of decreasing system prices, an extensive integration does not seem impossible.

In this PhD thesis the opportunities for utilisation of on-site PV generation and the consequences of a widespread introduction are studied. The specific aims are to improve modelling of residential electricity demand to provide a basis for simulations, to study load matching and grid interaction of on-site PV and to add to the understanding of power system impacts.

Time-use data (TUD) provided a realistic basis for residential load modelling. Both a deterministic and a stochastic approach for generating different types of end-use profiles were developed. The models are capable of realistically reproducing important electric load properties such as diurnal and seasonal variations, short time-scale fluctuations and random load coincidence.

The load matching capability of residential on-site PV was found to be low by default but possible to improve to some extent by different measures. Net metering reduces the economic effects of the mismatch and has a decisive impact on the production value and on the system sizes that are reasonable to install for a small-scale producer.

Impacts of large-scale PV-DG on low-voltage (LV) grids and on the national power system were studied. Power flow studies showed that voltage rise in LV grids is not a limiting factor for integration of PV-DG. Variability and correlations with large-scale wind power were determined using a scenario for large-scale building-mounted PV. Profound impacts on the power system were found only for the most extreme scenarios.

sted, utgiver, år, opplag, sider
Uppsala: Acta Universitatis Upsaliensis, 2010. s. 110
Serie
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 781
Emneord
Photovoltaics, Solar energy, Distributed generation, Load modelling, Time-use data, Markov chain, Power flow, Power system
HSV kategori
Forskningsprogram
Teknisk fysik
Identifikatorer
urn:nbn:se:uu:diva-132907 (URN)978-91-554-7931-2 (ISBN)
Disputas
2010-12-10, Häggsalen, Ångströmlaboratoriet, Lägerhyddsvägen 1, Uppsala, 13:15 (engelsk)
Opponent
Veileder
Merknad
Felaktigt tryckt som Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 711Tilgjengelig fra: 2010-11-18 Laget: 2010-10-28 Sist oppdatert: 2011-03-21bibliografisk kontrollert

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