scholarly journals The impact of climatic extreme events on the feasibility of fully renewable power systems: a case study for Sweden

2018 ◽  
Author(s):  
Stefan Höltinger ◽  
Johann Baumgartner ◽  
Christian Mikovits ◽  
Johannes Schmidt ◽  
Berit Arheimer ◽  
...  

Future energy systems with high shares of intermittent renewables will be stressed by climatic extreme events. We assess the frequency, duration, and magnitude of such extreme residual load events with a share of VRE generation of about 50% for the case of Sweden. For our analysis, we use 29 years of river runoff and of wind power and PV generation simulated from physical models. Hourly load is simulated from temperature data with a time series model. The resulting time series are combined with historic capacity and ramping restrictions of hydro and thermal power plants in an optimization model to minimize extreme residual load events. Results indicate that under high VRE shares climatic extreme events affect even highly flexible power systems as the Swedish one. Replacing current nuclear power capacities by wind power results on average in three extreme residual load events per year. These events are partly linked to the observation that wind speeds are likely below seasonal average in very cold weather conditions. Deploying PV generation capacities instead of wind increases the number of extreme residual load events by about 6 %, as most events occur during the winter month when solar generation is close to zero.

2020 ◽  
Vol 15 (5) ◽  
pp. 2033-2043
Author(s):  
Omar Beltran Valle ◽  
Rafael Peña Gallardo ◽  
Juan Segundo Ramirez ◽  
David Wenzhong ◽  
Eduard Muljadi

2013 ◽  
Vol 392 ◽  
pp. 656-659
Author(s):  
Ting Yu ◽  
Zhao Yu Jin ◽  
Ying Yun Sun ◽  
Jing Huai Lin ◽  
Tian Jiao Pu

Large-scale wind power integrates in the grid to provide clean energy; however, it has a negative impact on the stable operation of the grid. To analysis the effect of wind power on frequency control, we need the help of simulation software. But, there has no frequency control mathematical model of wind farm in simulation software available for the user to choose. So this paper designs and establishes a frequency simulation platform, which provides the frequency control mathematical model of wind farms, hydroelectric power plants and thermal power plants. It can not only evaluate the impact of wind power fluctuations on frequency control, but also can quantitatively analysis of the system reserve capacity, as well as AGC performance monitoring function.


2014 ◽  
Vol 494-495 ◽  
pp. 1660-1665
Author(s):  
Xing Yu Li ◽  
Dong Mei Zhao

Optimal Scheduling is an important issue in the power system including wind power, thermal power and hydro power. In this paper, a model is built to minimize the energy consumption and operating costs, considering the spinning reserve for wind power and operating characteristics of the units. During the peak load period, a hydro-thermal scheduling strategy is considered due to the peak shaving ability of hydraulic power plants. The solving process is based on the particle swarm optimization algorithm, and in the case study, a scheduling scheme is obtained for coordinated operation of wind power integrated power systems.


2012 ◽  
Vol 1 (3) ◽  
pp. 107 ◽  
Author(s):  
A Merzic ◽  
M. Music ◽  
M Rascic

Most power systems in underdeveloped and developing countries are based on conventional power plants, mainly "slow-response" thermal power plants and a certain number of hydro power plants; characterized by inflexible generating portfolios and traditionally designed to meet own electricity needs. Taking into account operational capabilities of conventional power systems, their development planning will face problems with integration of notable amounts of installed capacities in wind power plants (WPP). This is what highlights the purpose of this work and in that sense, here, possible variations of simulated output power from WPP in the 10 minute and hourly time interval, which need to be balanced, are investigated, presented and discussed. Comparative calculations for the amount of installed power in WPP that can be integrated into a certain power system, according to available secondary balancing power amounts, in case of concentrated and dispersed future WPP are given. The stated has been done using a part of the power system of Bosnia and Herzegovina. In the considered example, by planned geographically distributed WPP construction, even up to cca. 74% more in installed power of WPP can be integrated into the power system than in case of geographically concentrated WPP construction, for the same available amount of (secondary) balancing power. These calculations have shown a significant benefit of planned, geographically distributed WPP construction, as an important recommendation for the development planning of conventional power systems, with limited balancing options. Keywords: balancing reserves,  geographical dispersion, output power  variations


2014 ◽  
Vol 1070-1072 ◽  
pp. 275-278
Author(s):  
Li Lin ◽  
Shuang Zhao ◽  
Meng Ze Yu ◽  
Bo Jian Ding

As wind is random, intermittent and instability, with continual installation of wind farms, the impact of large scale wind farm on power system has become an important issue for integration and operation of wind farm. Aiming at studying the transient stability of district grid containing high proportion of wind power, numerical simulations with BPA for an actual district grid of China Southern Power Grid are presented. In these simulations, the interaction between the large-scale wind farm and traditional thermal power plants (TPPs) is investigated taking the different operating modes and fault location into account. The critical clearing time (CCT) is adopted as the measurable indicator to assess the interaction.


Author(s):  
Y. S. Petrusha ◽  
N. A. Papkova

The use of wind turbines to create wind energy is one of the main alternatives to the traditional technologies of power generation. The exclusion of combustion products emissions at thermal power plants that operate on hydrocarbon fuel, as well as the exclusion of the fuel component of the cost of electricity generation makes the wind power technology very attractive. However, the rigor of the operation requirements of wind turbines as part of power systems, low density of the flow of primary energy source and the lack of control of it, low utilization of installed capacity, limited operating life, shutdowns in the conditions of squally gusts of wind and ice formation, large areas of alienated land, the impact of noise and infrasonic vibrations and the problems of utilization of large-size structural elements and foundations require a comprehensive analysis of conditions of wind turbines application. Despite the absence of desert areas and of restrictions on the construction of ultra-high structures the analysis of natural and climatic conditions of Belarus demonstrates favorable natural and landscape conditions for the development of wind power generation. The principal task is to choose the location of wind power plants with due regard to environmental requirements, temperature and humidity conditions, terrain and geological features of the location. The results of calculations of the wind flow conditions showed the preference for the joint application of the Weibull and Rayleigh functions that provide the confidence interval of the approximation of the wind speed function, while the terrain specific features make it possible to expect to obtain higher values of the established capacity utilization factor. The development of a distributed energy generation accompanied by Smart Grid technology wide use over electric networks (which would provide new opportunities for consumers and make it possible to eliminate the monopoly of powerful power plants and to reduce burden of basic costs of big power production) ought to be considered as obvious prospect of wind power plants application.


Author(s):  
Yuliya S. Borisova ◽  
Nataliya S. Samarskaya

Introduction. Active withdrawal of energy raw materials from the subsoil, as well as technogenic impact from energy sources based on traditional fuel, lead to irreversible environmental consequences. To minimize this impact, it is necessary to start from two main conditions: the search for alternative energy sources and the improvement of the existing ones. Problem Statement. The objective of this study is a comparative analysis of energy facilities in order to identify the plant that has the greatest negative impact on the environment. Theoretical part. The comparative analysis of various energy production systems reflects the ecological and economic components of each. For example, a thermal power plant (TPP), a nuclear power plant (NPP) and a wind power plant (WPP) are considered. The negative impact on the environment is mainly exerted on the atmospheric air, in connection with which the data on the amount of pollutants are considered. Also, a modified Leopold matrix was constructed for an expert assessment of the mentioned stations. Conclusions. The results of the analysis show that among the considered power plants, the wind power plant is the most environmentally friendly and favorable for the health of the population.


2021 ◽  
Vol 13 (13) ◽  
pp. 7279
Author(s):  
Zbigniew Skibko ◽  
Magdalena Tymińska ◽  
Wacław Romaniuk ◽  
Andrzej Borusiewicz

Wind power plants are an increasingly common source of electricity located in rural areas. As a result of the high variability of wind power, and thus the generated power, these sources should be classified as unstable sources. In this paper, the authors attempted to determine the impact of wind turbine operation on the parameters of electricity supplied to farms located near the source. As a result of the conducted field tests, variability courses of the basic parameters describing the supply voltage were obtained. The influence of power plant variability on the values of voltage, frequency, and voltage distortion factor was determined. To estimate the capacity of the transmission lines, the reactive power produced in the power plant and its effect on the value of the power factor were determined. The conducted research and analysis showed that the wind power plant significantly influences voltage fluctuations in its immediate vicinity (the maximum value registered was close to 2%, while the value required by law was 2.5%). Although all the recorded values are within limits specified by the current regulations (e.g., the THD value is four times lower than the required value), wind turbines may cause incorrect operation of loads connected nearby. This applies mainly to cases where consumers sensitive to voltage fluctuations are installed in the direct vicinity of the power plant.


Water ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 2058 ◽  
Author(s):  
Larissa Rolim ◽  
Francisco de Souza Filho

Improved water resource management relies on accurate analyses of the past dynamics of hydrological variables. The presence of low-frequency structures in hydrologic time series is an important feature. It can modify the probability of extreme events occurring in different time scales, which makes the risk associated with extreme events dynamic, changing from one decade to another. This article proposes a methodology capable of dynamically detecting and predicting low-frequency streamflow (16–32 years), which presented significance in the wavelet power spectrum. The Standardized Runoff Index (SRI), the Pruned Exact Linear Time (PELT) algorithm, the breaks for additive seasonal and trend (BFAST) method, and the hidden Markov model (HMM) were used to identify the shifts in low frequency. The HMM was also used to forecast the low frequency. As part of the results, the regime shifts detected by the BFAST approach are not entirely consistent with results from the other methods. A common shift occurs in the mid-1980s and can be attributed to the construction of the reservoir. Climate variability modulates the streamflow low-frequency variability, and anthropogenic activities and climate change can modify this modulation. The identification of shifts reveals the impact of low frequency in the streamflow time series, showing that the low-frequency variability conditions the flows of a given year.


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