Sunny windy sundays

被引：15

作者：

Drew, Daniel R. ^{[1
]}

Coker, Phil J. ^{[2
]}

Bloomfield, Hannah C. ^{[1
,3
]}

Brayshaw, David J. ^{[1
,3
]}

Barlow, Janet F. ^{[1
]}

Richards, Andrew ^{[4
]}

机构：

[1] Univ Reading, Dept Meteorol, Reading, Berks, England

[2] Univ Reading, Sch Construct Management & Engn, Reading, Berks, England

[3] Univ Reading, Dept Meteorol, Natl Ctr Atmospher Sci, Reading, Berks, England

[4] Natl Grid, London, England

来源：

RENEWABLE ENERGY | 2019年 / 138卷

关键词：

Wind; Solar; Demand; Curtailment; Reanalysis; POWER-GENERATION; IMPACT; SOLAR; REANALYSIS; SYSTEMS;

D O I：

10.1016/j.renene.2019.02.029

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Rapid expansion of wind and solar capacity in Great Britain presents challenges for managing electricity systems. One concern is the reduction in system inertia during periods where renewables provide a high proportion of demand which has led to some networks imposing system non-synchronous penetration limits. However, given the lack of operational data, the relationship between renewable generation and demand for the full range of meteorological conditions experienced in Great Britain is poorly understood. This study uses reanalysis datasets to determine the proportion of demand from renewable generation on an hourly resolution for a 36-year period. The days with highest penetration of renewables tend to be sunny, windy weekend days between May and September, when there is a significant contribution of both wind and solar generation and demand is suppressed due to human behaviour. Based on the current distribution of wind and solar capacity, there is very little curtailment for all system non-synchronous penetration limits considered. However, as installed capacity of renewables grows the volume of generation curtailed also increases with a disproportionate volume occurring at weekends. The total volume of curtailment is highly dependent on ratio of wind and solar capacity, with the current blend close to the optimum level. (C) 2019 Elsevier Ltd. All rights reserved.

引用

页码：870 / 875

页数：6

共 27 条

[1]

[Anonymous], 2016, SYST OP FRAM 2016

[2]

[Anonymous], 2018, Future Energy Scenarios

[3] The climatological relationships between wind and solar energy supply in Britain [J].

Bett, Philip E. ;

Thornton, Hazel E. .

RENEWABLE ENERGY, 2016, 87 :96-110

[4]

Bloomfield H. C., 2016, Quantifying the increasing sensitivity of power systems to climate variability, V11, DOI [10.1088/1748-9326/11/12/124025, DOI 10.1088/1748-9326/11/12/124025]

[5] Comparison between meteorological re-analyses from ERA-Interim and MERRA and measurements of daily solar irradiation at surface [J].

Boilley, Alexandre ;

Wald, Lucien .

RENEWABLE ENERGY, 2015, 75 :135-143

[6] Factors Influencing Wind Energy Curtailment [J].

Burke, Daniel J. ;

O'Malley, Mark J. .

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2011, 2 (02) :185-193

[7] Using reanalysis data to quantify extreme wind power generation statistics: A 33 year case study in Great Britain [J].

Cannon, D. J. ;

Brayshaw, D. J. ;

Methven, J. ;

Coker, P. J. ;

Lenaghan, D. .

RENEWABLE ENERGY, 2015, 75 :767-778

[8] The impact of sub-hourly modelling in power systems with significant levels of renewable generation [J].

Deane, J. P. ;

Drayton, G. ;

Gallachoir, B. P. O. .

APPLIED ENERGY, 2014, 113 :152-158

[9]

Department for Business Energy and Industrial Strategy, 2017, EN TRENDS

[10]

Department for Business Energy and Industrial Strategy, 2017, INST CAP KW DOM PHOT

← 1 2 3 →