Back-Up-Capacity Prediction in a Power-Grid Dominated by Renewable Electricity

被引：0

作者：

Hoppe, Bernhard ^{[1
]}

机构：

[1] Hsch Darmstadt Univ Appl Sci, Fac Elect Engn & Informat Technol, Darmstadt, Germany

来源：

2019 8TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA 2019) | 2019年

关键词：

Intermittency of renewable electricity; grid data analysis; conventional back-up for grid stability; statistical models for minimum back-up in renewable power grids; back-up exhaustion in different grid scenarios for Germany;

D O I：

10.1109/icrera47325.2019.8996921

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Renewable energy in electricity grids require a certain amount of conventional back-up-capacity to accommodate for power shortages due to the intermittency of renewable electricity generation. To predict such conventional generation-capacities required in the future, a statistical model for the backup-demand in Germany is developed using grid data of the German Net Agency from 2015 to 1018. Tests clearly indicate that residual load in the grid which has to be backed-up has a normal distribution. Future mean-values and standard deviations for this distribution are modelled from the available data by using linear, logistic and exponential regression formulas. Then probabilities are determined for exhaustion of back-up capabilities for different grid scenarios for Germany.

引用

页码：315 / 319

页数：5

共 50 条

[31] Technical and economic evaluation of excess electricity level management beyond the optimum storage capacity for off-grid renewable systems
Rad, Mohammad Amin Vaziri
Kasaeian, Alibakhsh
Mahian, Omid
Toopshekan, Ashkan
[J]. JOURNAL OF ENERGY STORAGE, 2024, 87
[32] A methodological approach for assessing flexibility and capacity value in renewable-dominated power systems: A Spanish case study in 2030
Huclin, Sebastien
Ramos, Andres
Chaves, Jose Pablo
Matanza, Javier
Gonzalez-Eguino, Mikel
[J]. ENERGY, 2023, 285
[33] Wind Power Grid Connected Capacity Prediction Using LSSVM Optimized by the Bat Algorithm
Wu, Qunli
Peng, Chenyang
[J]. ENERGIES, 2015, 8 (12): : 14346 - 14360
[34] A Prediction model of the Voltage Variation according to the Wind Power Installation Capacity in an Isolated Grid
Im, Ji-Hoon
Song, Seung-Ho
[J]. 2009 IEEE 6TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE, VOLS 1-4, 2009, : 1512 - 1516
[35] Optimal heat and electric power flows in the presence of intermittent renewable source, heat storage and variable grid electricity tariff
Ayele, Getnet Tadesse
Mabrouk, Mohamed Tahar
Haurant, Pierrick
Laumert, Bjorn
Lacarriere, Bruno
[J]. ENERGY CONVERSION AND MANAGEMENT, 2021, 243
[36] Combined heat and power unit capacity for high-heat to power ratio buildings without selling excess electricity to the grid
Cho, Woojin
Kim, Janghyun
Lee, Kwan-Soo
[J]. ENERGY, 2012, 38 (01) : 354 - 361
[37] Research on Capacity and Delivery Sequence of Interconnected Northwestern-Southwestern Power Grid Towards Renewable Energy Accommodation
Wu, Di
Wang, Jiaming
Li, Hui
Wang, Zhidong
Zhang, Ning
Kang, Chongqing
[J]. Dianwang Jishu/Power System Technology, 2018, 42 (07): : 2103 - 2110
[38] Flywheel-based Micro Energy Grid for Reliable Emergency Back-up Power for Nuclear Power Plant
Abdussami, Muhammad R.
Gabbar, Hossam A.
[J]. 2019 2ND INTERNATIONAL CONFERENCE ON SMART ENERGY SYSTEMS AND TECHNOLOGIES (SEST 2019), 2019,
[39] Reactive Power Optimization of Renewable Energy Base Considering Reactive Power Adjustment Capacity of Grid-forming Energy Storage Station
Lin, Li
Ma, Xiaohan
Ding, Wenmin
Cui, Hao
Xu, Ning
[J]. 2023 6TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY AND POWER ENGINEERING, REPE 2023, 2023, : 341 - 345
[40] Optimal operation of a solar-thermal power plant with energy storage and electricity buy-back from grid
Lizarraga-Garcia, Enrique
Ghobeity, Amin
Totten, Mark
Mitsos, Alexander
[J]. ENERGY, 2013, 51 : 61 - 70

← 1 2 3 4 5 →