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

Wang, Xianxun; Mei, Yadong; Cai, Hongning; Cong, Xiangyu

doi:10.3390/en9020114

Cited by 23 publications

(12 citation statements)

References 25 publications

(40 reference statements)

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“…To our knowledge, this study is the first time a hybrid metric like C stab , combining information on complementarity and on CF, has been benchmarked against using average CF maps. The coefficient of variation itself [43][44][45]49], on which C stab is based, or alternative fluctuation indices [64] have been used before to quantify resource complementarities, but none of these works studied the implications of combining such metrics with information on CFs. The mathematical hybrid index for synergies presented by [65] goes in this direction, but it works optimally only if power output shapes are sinusoids, and its implications for RE potential estimation vis-à-vis using average CF maps were not studied.…”

Section: Locations Where Resources Are Complementarymentioning

confidence: 99%

A new approach for assessing synergies of solar and wind power: implications for West Africa

Sterl

Liersch

Koch

et al. 2018

Environ. Res. Lett.

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West African countries' energy and climate policies show a pronounced focus on decarbonising power supply through renewable electricity (RE) generation. In particular, most West African states explicitly focus on hybrid mixes of variable renewable power sources-solar, wind and hydropower-in their targets for the electricity sector. Hydropower, the main current RE resource in West Africa, is strongly sensitive to monsoon rainfall variability, which has led to power crises in the past. Therefore, solar and wind power could play a stronger role in the future as countries move to power systems with high shares of RE. Considering the policy focus on diversified RE portfolios, there is a strong need to provide climate services for assessing how these resources could function together in a power mix. In this study, climate data from the state-of-the-art ERA5 reanalysis is used to assess the synergies of solar photovoltaic (PV) and wind power potential in West Africa at hourly resolution. A new metric, the stability coefficientC stab , is developed to quantify the synergies of solar PV and wind power for achieving a balanced power output and limiting storage needs. Using this metric, it is demonstrated that there is potential for exploiting hybrid solar/wind power in a larger area of West Africa, covering more important centers of population and closer to existing grid structures, than would be suggested by average maps of solar and wind resource availability or capacity factor for the region. The results of this study highlight why multi-scale temporal synergies of power mixes should be considered in RE system planning from the start.

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Section: Locations Where Resources Are Complementarymentioning

confidence: 99%

A new approach for assessing synergies of solar and wind power: implications for West Africa

Sterl

Liersch

Koch

et al. 2018

Environ. Res. Lett.

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“…We employ the rotation angle, which is a sub-index of the Mei-Wang Fluctuation index (MWF) [35,36], to quantify the short-term fluctuations in the output. Comparisons in the previous study have suggested that the MWF, which combines a rotation angle and standard deviation, outperforms the commonly used methods (e.g., the Richards-Baker Flashiness index [37], the first-order difference, and the standard deviation) in characterizing fluctuation by incorporating not only the vertical variation but also the horizontal variation [35].…”

Section: Integration In Area Imentioning

confidence: 99%

“…In addition, λ i is the ratio of P SHP,exp i in the ith interval, which is the variable of this model and ranges from 0 to 1. The detailed definitions and calculations of the rotation angle can be found in a previous study [35].…”

Section: Integration In Area Imentioning

confidence: 99%

“…In addition, i λ is the ratio of , SHP exp i P in the i th interval, which is the variable of this model and ranges from 0 to 1. The detailed definitions and calculations of the rotation angle can be found in a previous study [35]. (2) Constraints There are commonly three types of constraints in the multi-energy optimization (i.e., resource type, grid type, and station type [36,38,39]).…”

Section: Integration In Area Imentioning

confidence: 99%

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Model and Analysis of Integrating Wind and PV Power in Remote and Core Areas with Small Hydropower and Pumped Hydropower Storage

Wang

Chen

et al. 2018

Energies

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Small hydropower (SHP) and pumped hydropower storage (PHS) are ideal members of power systems with regard to integrating intermittent power production from wind and PV facilities in modern power systems using the high penetration of renewable energy. Due to the limited capacity of SHP and the geographic restrictions of PHS, these power sources have not been adequately utilized in multi-energy integration. On the one hand, rapidly increasing wind/PV power is mostly situated in remote areas (i.e., mountain and rural areas) and is delivered to core areas (i.e., manufacturing bases and cities) for environmental protection and economic profit. On the other hand, SHP is commonly dispersed in remote areas and PHS is usually located in core areas. This paper proposes a strategy to take advantage of the distribution and regulation features of these renewable energy sources by presenting two models, which includes a remote power system model to explore the potential of SHP to smooth the short-term fluctuations in wind and PV power by minimizing output fluctuations as well as a core power system model to employ PHS to shift the surplus power to the peak period by maximizing the income from selling regenerated power and minimizing output fluctuations.In the proposed first model, the cooperative regulation not only dispatches SHP with a reciprocal output shape to the wind/PV output to smooth the fluctuations but also operates the reservoir with the scheduled total power production by adjusting its output in parallel. The results of a case study based on a municipal power system in Southwestern China show that, with the proposed method, SHP can successfully smooth the short-term fluctuations in wind and PV power without influencing the daily total power production. Additionally, SHP can replace the thermal power production with renewable power production, smooth the thermal output, and further reduce the operation costs of thermal power. By storing the surplus power in the upper reservoir and regenerating the power during the peak period, PHS can obtain not only the economic benefit of selling the power at high prices but also the environmental benefit of replacing non-renewable power with renewable power. This study provides a feasible approach to explore the potential of SHP and PHS in multi-energy integration applications.Energies 2018, 11, 3459 4 of 24 hourly hydropower output process is a reciprocal process to the output of wind/PV power, but its total daily amount of power production does not meet the schedule.Step 2: Calculate the generation amount gap, E gap , between the scheduled total daily generation amount (E schedule ) and E generated . E gap = | E generated − E schedule |.Step 3: If E generated is larger than E schedule , then they uniformly decrease the hydropower output process (bound by the minimum output, as shown in Figure 2). Otherwise, they uniformly increase the hydropower output (bound by the maximum output, as shown in Figure 3).Step 4: Calculate E generated and E gap with the adjusted process obtained...

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“…Hydropower is an important part of global renewable energy [1][2][3], which not only supports regional power supply but also helps to achieve decarburization targets [4,5]. Hydropower contributes to balance the power production variability of other kinds of renewable energy, like wind or solar power, because hydropower supply is relatively steadier and has good adaptability [6][7][8]. Thus, hydropower development is of significance and has great potential worldwide [9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Construction Diversion Risk Assessment for Hydropower Development on Sediment-Rich Rivers

Song

Liu

et al. 2020

Energies

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Hydropower is an important renewable energy, and Construction Diversion Risk (CDR) should be highlighted and assessed during hydropower development. Since sediment-rich rivers are widely existing around the world and have great hydro-energy potential, assessing CDR for hydropower development on sediment-rich rivers in terms of engineering feasibility is of significance. This paper proposes a CDR assessment method for the sediment-rich hydropower development environment. The method is concise and practical, reflects diversion uncertainties and correlation, and mainly adopts the Gumbel–Hougaard Copula and the Monte Carlo Simulation. Through simulating flood evolution and sediment impact during diversion, the method can assess CDR basing on the cofferdam overtopping probability. Case results show that the proposed method can achieve CDR assessment on a sediment-rich river and highlights sediment impact on the diversion risk. Through results discussion, the risk feature of construction diversion on sediment-rich rivers is revealed, that sediment impact causes the dynamic and yearly-risen CDR. Hence, our conclusions are: (1) the proposed method is feasible, effective and has industrial potential, and (2) a diversion scheme on sediment-rich rivers is suggested that adopts the design with high or yearly-heightening cofferdams, based on the advanced CDR assessment to cope with the risk features of sediment-rich diversion environments.

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

Cited by 23 publications

References 25 publications

A new approach for assessing synergies of solar and wind power: implications for West Africa

A new approach for assessing synergies of solar and wind power: implications for West Africa

Model and Analysis of Integrating Wind and PV Power in Remote and Core Areas with Small Hydropower and Pumped Hydropower Storage

Construction Diversion Risk Assessment for Hydropower Development on Sediment-Rich Rivers

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