scholarly journals Integration of Large-Scale Variable Renewable Energy Sources into the Future European Power System: On the Curtailment Challenge

Energies ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 5490 ◽  
Author(s):  
Chloi Syranidou ◽  
Jochen Linssen ◽  
Detlef Stolten ◽  
Martin Robinius

The future European power system is projected to rely heavily on variable renewable energy sources (VRES), primarily wind and solar generation. However, the difficulties inherent to storing the primary energy of these sources is expected to pose significant challenges in terms of their integration into the system. To account for the high variability of renewable energy sources VRES, a novel pan-European dispatch model with high spatio-temporal resolution including load shifting is introduced here, providing highly detailed information regarding renewable energy curtailments for all Europe, typically underestimated in studies of future systems. which also includes modeling of load shifting. The model consists of four separate levels with different approaches for modeling thermal generation flexibility, storage units and demand as well as with spatial resolutions and generation dispatch formulations. Applying the developed model for the future European power system follows the results of corresponding transmission expansion planning studies, which are translated into the desired high spatial resolution. The analysis of the “large scale-RES” scenario for 2050 shows considerable congestion between northern and central Europe, which constitutes the primary cause of VRES curtailments of renewables. In addition, load shifting is shown to mostly improve the integration of solar energy into the system and not wind, which constitutes the dominant energy source for this scenario. Finally, the analysis of the curtailments time series using ideal converters shows that the best locations for their exploitation can be found in western Ireland and western Denmark.

2020 ◽  
Vol 6 ◽  
pp. 1597-1603
Author(s):  
Lei Liu ◽  
Tomonobu Senjyu ◽  
Takeyoshi Kato ◽  
Abdul Motin Howlader ◽  
Paras Mandal ◽  
...  

2021 ◽  
Vol 144 ◽  
pp. 14-21
Author(s):  
Vladimir P. Polevanov ◽  

The growth in primary energy consumption in 2019 by 1.3% was provided by renewable energy sources and natural gas, which together provided 75% of the increase. China in the period 2010–2020 held a leading position in the growth of demand for energy resources, but according to forecasts, India will join it in the current decade.


Energy ◽  
2019 ◽  
Vol 186 ◽  
pp. 115805 ◽  
Author(s):  
Oscar Pupo-Roncallo ◽  
Javier Campillo ◽  
Derek Ingham ◽  
Kevin Hughes ◽  
Mohammed Pourkashanian

2020 ◽  
Vol 12 (23) ◽  
pp. 9844
Author(s):  
Maximilian Borning ◽  
Larissa Doré ◽  
Michael Wolff ◽  
Julian Walter ◽  
Tristan Becker ◽  
...  

To mitigate global warming, the European Union aims at climate neutrality by 2050. In order to reach this, the transportation sector has to contribute especially, which accounts for about a quarter of the European greenhouse gas emissions. Herein, electricity-based fuels are a promising approach for reducing emissions. However, a large-scale deployment of electricity-based fuels has a significant impact on the power system due to high electricity demand and the requirement to use renewable energy sources in order to be sustainable. At the same time, this fuel production could offer additional flexibility for the power system. This article investigates the opportunities and challenges of electricity-based fuels and flexible electricity-based fuel production for the European power system. In a literature analysis, the pivotal role of electricity-based fuels for climate neutrality is confirmed. To analyze the impact of flexible fuel production, European power market simulations for the year 2035 are conducted. Results indicate that flexibilization leads to an increased integration of electricity based on renewable energy sources as well as reductions in both carbon dioxide emissions and total operational costs of the power system. However, very high flexibility levels also benefit high-emission power plants and may even lead to increased emissions.


2020 ◽  
Vol 209 ◽  
pp. 06022
Author(s):  
Vu Minh Phap ◽  
Doan Van Binh ◽  
Nguyen Hoai Nam ◽  
A. V. Edelev ◽  
M. A. Marchenko

Currently, Vietnam‘s energy source structure is being changed by which renewable energy sources play more important role to meet the electricity demand and reduce greenhouse gas emissions from fossil energy sources. Vietnam’s energy development strategy determines to build some renewable energy centers, of which Ninh Thuan is the first province designated to become a national renewable energy center. This is based on Ninh Thuan’s endowment as a province having the largest renewable energy potential in Vietnam. Development of a large renewable energy center allows power system planners to overcome the mismatch in timescales associated with developing transmission power grid and renewable energy generation. Besides, renewable energy center can facilitate a significant pipeline of large-scale renewable energy and storage projects. However, Ninh Thuan province is far away from the major load centers of Vietnam so the calculation and analysis of economic indicators need to be studied. This paper will present the results of the analysis of economic indicators of major renewable electricity sources in Ninh Thuan (onshore wind power, offshore wind power, solar power) to provide scientific arguments for developing a renewable energy center in Vietnam. Also the paper addresses the problem of the large-scale penetration of renewable energy into the power system of Vietnam. The proposed approach presents the optimization of operational decisions in different power generation technologies as a Markov decision process. It uses a stochastic base model that optimizes a deterministic lookahead model. The first model applies the stochastic search to optimize the operation of power sources. The second model captures hourly variations of renewable energy over a year. The approach helps to find the optimal generation configuration under different market conditions.


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