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

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 i...

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Bibliographic Details
Published in:Solar energy 2010-03, Vol.84 (3), p.492-500
Main Authors: Widén, Joakim, Wäckelgård, Ewa, Paatero, Jukka, Lund, Peter
Format: Article
Language:English
Subjects:
Applied sciences
AUGMENTATION
DISPERSED STORAGE AND GENERATION
DISTRIBUTION
Distribution grid
Domestic electricity demand
ELECTRIC POTENTIAL
ELECTRIC POWER
Electricity
Energy
Equipments, installations and applications
Exact sciences and technology
HOUSEHOLDS
Impact analysis
Low voltage
Natural energy
Photovoltaic cells
Photovoltaic conversion
PHOTOVOLTAIC POWER SUPPLIES
Photovoltaics
POWER DEMAND
Power flow
POWER SYSTEMS
POWER TRANSMISSION AND DISTRIBUTION
RANDOMNESS
SIMULATION
Solar energy
Statistical analysis
STATISTICS
TECHNOLOGY
TEKNIKVETENSKAP
Time averaging
TIME RESOLUTION
VARIATIONS
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Summary: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.
ISSN:0038-092X
1471-1257
1471-1257
DOI:10.1016/j.solener.2010.01.011