Integration of Wind and Hydropower Systems: Results of IEA Wind Task 24

Acker, Thomas L.; Robitaille, André; Holttinen, Hannele; Piekutowski, M.; Tande, John Olav Giæver

doi:10.1260/0309-524x.36.1.1

Cited by 29 publications

(19 citation statements)

References 8 publications

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“… The capacity mix of the residual system. Specifically, hydro power can typically deliver balancing services at lower costs than thermal plants (Carlsson 2011, Acker et al 2012).  The design and liquidity of intraday markets (Holttinen 2005, Weber 2010) and balancing markets (Vandezande et al 2010, Hirth & Ziegenhagen 2013.…”

Section: Balancing Costsmentioning

confidence: 99%

Integration costs revisited – An economic framework for wind and solar variability

2015

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-The integration of wind and solar generators into power systems causes "integration costs" -for grids, balancing services, more flexible operation of thermal plants, and reduced utilization of the capital stock embodied in infrastructure, among other things. This paper proposes a framework to analyze and quantify these costs. We propose a definition of integration costs based on the marginal economic value of electricity, or market value -as such a definition can be more easily used in economic cost-benefit assessment than previous approaches. We suggest decomposing integration costs intro three components, according to the principal characteristics of wind and solar power: temporal variability, uncertainty, and location-constraints. Quantitative estimates of these components are extracted from a review of 100+ published studies. At high penetration rates, say a wind market share of 30-40%, integration costs are found to be 25-35 €/MWh, i.e. up to 50% of generation costs. While these estimates are system-specific and subject to significant uncertainty, integration costs are certainly too large to be ignored in high-penetration assessments (but might be ignored at low penetration). The largest single factor is reduced utilization of capital embodied in thermal plants, a cost component that has not been accounted for in most previous integration studies. We propose a new definition of "integration costs" of wind and solar power.  Integration costs can be translated into reduced energy value, and vice versa.  Integration costs are large: 25-35 €/MWh at 30-40% wind, according to a lit review.  We suggest a consistent, operationable, robust & comprehensive cost decomposition.  A major driver is reduced utilization of capital-intensive plants (profile costs).

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Section: Balancing Costsmentioning

confidence: 99%

Integration costs revisited – An economic framework for wind and solar variability

2015

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“…To simulate the variants of the wind-diesel power complex implementation, the following initial data were used: consumer hourly load during the year, average daily load profiles for each month; a series of hourly observations of the wind speed of the satellite surveillance system MERRA, obtained by exporting from WindPro software package and scaled for the selected construction site of WDEC [12].…”

Section: Methodsmentioning

confidence: 99%

Regimes, management and economics of energy complexes on the basis of renewable energy sources for autonomous power supply

Елистратов

Kudryasheva

2019

E3S Web Conf.

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The article describes the principles of creation, management and economics of power complexes based on renewable energy sources for decentralized power supply. The introduction of energy complexes based on renewable energy sources can compete with the centralized power supply of the regions by increasing energy security and reducing the risks of major accidents and disasters. Long-term contracts for the electricity supply can be a reliable and economical insurance in case of rising fuel prices in the long term.

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“…Indices that quantitatively evaluate output fluctuations have been proposed and applied by many researchers in the electrical research field [4]. In other fields, such as hydrological regime research [5], environmental assessment [6], and economic analysis [7], similar methods of calculating process fluctuations have also been presented.…”

Section: Introductionmentioning

confidence: 99%

“…According to the disposal of ordinate, the quantitative type is further divided into several categories. The first category is the difference value, which includes the first-order difference (FOD) [8][9][10][11][12], standard deviation (SD) [4,7,[13][14][15], and variation [16]. This category contains a sort of difference pattern, such as difference between adjacent ordinates, difference between ordinate and its mean.…”

Section: Introductionmentioning

confidence: 99%

“…The second category is called the divided category, and it includes the FOD divided by the maximum [17], SD divided by the mean [13,14,18], coefficient of variation [19], normalized SD [20], and Richards-Baker Flashiness (RBF) index [5,19,[21][22][23][24]. The third is the distribution, and contains the distribution of the FOD [4] and the distribution of exceedance [6]. These distribution indices concentrate on the frequency of variation of a certain magnitude, resulting in a group of frequencies.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A New Fluctuation Index: Characteristics and Application to Hydro-Wind Systems

et al. 2016

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Hydro-wind system output fluctuations are the primary factors used to assess the effects of hydropower on power companies compensating for wind power intermittency. Considering that most fluctuation indices can only characterize one aspect of fluctuations, namely, the quantitative or contour variations, we present a new index that uses the standard deviation (SD) and rotation angle to detect the quantitative variations and contour changes, respectively. Herein, the new index is compared with commonly used indices, specifically, the first-order difference, SD, and Richards-Baker flashiness indices. The results of tests performed using various processes and disposals show that: (1) when dealing with the process by moving average, repeating or overlay disposal, the new index performs comparably to the other indices, while when dealing with the process by zooming disposal, it more fully describes the fluctuation characteristics by taking both quantitative and contour variations into consideration; (2) when the new index is used to characterize the hydro-wind output fluctuations with different resources and capacities, the outcomes coincide with the mechanisms of hydro-wind systems. This study presents a new way to characterize the fluctuation of hydro-wind output.

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Integration of Wind and Hydropower Systems: Results of IEA Wind Task 24

Cited by 29 publications

References 8 publications

Integration costs revisited – An economic framework for wind and solar variability

Integration costs revisited – An economic framework for wind and solar variability

Regimes, management and economics of energy complexes on the basis of renewable energy sources for autonomous power supply

A New Fluctuation Index: Characteristics and Application to Hydro-Wind Systems

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