The UK solar farm fleet: A challenge for the national grid?

Currently, in the UK, it is widely believed that supply from renewable energy sources is capable of reaching proportions too great for the transmission system. This research investigates this topic objectively by offering an understanding of year-to-year and area-to-area variability of PV (photovoltaic) performance, measured in terms of specific yield (kWh/kWp). The dataset is created using publicly available data that gives an indication of impact on the grid. The daily and seasonal variance is determined, demonstrating a surprisingly good energy yield in April (second only to August). The geographic divergence of generation from large scale solar systems is studied for various sized regions. Generation is compared to demand. Timing of output is analyzed and probability of achieving peak output ascertained. Output and demand are not well matched, as regards location. Nevertheless, the existing grid infrastructure is shown to have sufficient capacity to handle electricity flow from large scale PV. Full nameplate capacity is never reached by the examples studied. Although little information is available about oversizing of array-to-inverter ratios, this is considered unlikely to be a major contributor to grid instability. It is determined that output from UK solar farms currently presents scant danger to grid stability.

[1]  W. Beckman,et al.  Evaluation of hourly tilted surface radiation models , 1990 .

[2]  R. G. Ross,et al.  Interface design considerations for terrestrial solar cell modules , 1976 .

[3]  J. Hay,et al.  Estimating Solar Irradiance on Inclined Surfaces: A Review and Assessment of Methodologies , 1985 .

[4]  William E. Boyson,et al.  Photovoltaic array performance model. , 2004 .

[5]  Richard Perez,et al.  Addendum and Errata to the Paper “Estimating Solar Irradiance on Inclined Surfaces: A Review and Assessment of Methodologies” , 1986 .

[6]  Marco Raugei,et al.  A comprehensive assessment of the energy performance of the full range of electricity generation technologies deployed in the United Kingdom , 2016 .

[7]  John Boland,et al.  Modelling of diffuse solar fraction with multiple predictors , 2010 .

[8]  Pierluigi Mancarella,et al.  Integrated electrical and gas network flexibility assessment in low-carbon multi-energy systems , 2016, 2016 IEEE Power and Energy Society General Meeting (PESGM).

[9]  C. Frei,et al.  Comparison of six methods for the interpolation of daily, European climate data , 2008 .

[10]  Ian Richardson Integrated high-resolution modelling of domestic electricity demand and low voltage electricity distribution networks , 2011 .

[11]  R. Gottschalg,et al.  Interpolating and estimating horizontal diffuse solar irradiation to provide UK-wide coverage: selection of the best performing models , 2017 .

[12]  Ann E. Robinson Research on planning , 1983, SGAR.

[13]  Eleni Koubli,et al.  Inference of missing data in photovoltaic monitoring datasets , 2016 .

[14]  서정헌,et al.  반도체 공정 overview , 2001 .