Numerical definitions of wind power output fluctuations for power system operations

Ikegami, Takashi; Urabe, Chiyori T.; Saitou, Tetsuo; Ogimoto, Kazuhiko

doi:10.1016/j.renene.2017.08.009

Cited by 49 publications

(44 citation statements)

References 36 publications

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“…To isolate different components of the 10‐second regional PV power output according to the time frame of primary and secondary regulation controls, we applied the decomposition method recommended by the Institute of Electrical Engineers of Japan, with the modifications proposed by Ikegami et al, to distinguish fluctuations related with the GFC time frame from those related with the LFC time frame. For the GFC, first, a reference to compare the PV power output is set.…”

Section: Methodsmentioning

confidence: 99%

Regional photovoltaic power fluctuations within frequency regulation control time frames: A study with high‐resolution data

Fonseca

Nishitsuji

Udagawa

et al. 2018

Progress in Photovoltaics

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The growth of renewable energy penetration on power grids is reaching high levels in many countries around the world. In such high-penetration scenarios, the proper characterisation of the intermittency of renewable power generation becomes important to the operation of power grids. In this study, using the most recent high-resolution global horizontal irradiance data in Japan, we characterise short-term fluctuations of photovoltaic (PV) power in regional scale, in a scenario of high penetration of PV. We analysed 1 year of data with a resolution of 10 seconds for the Kanto area in Japan. The results show that the distribution of the short-term fluctuations is non-Gaussian, presenting a shape similar to a Laplacian distribution. In addition to statistical aspects, a methodology is presented to evaluate the fluctuations considering aspects relevant to power grid operators. Applying this methodology, we show that the highest fluctuations within the time frame of secondary regulation control of frequency reached 5% of the hourly power demand. Fluctuations of PV power within the primary regulation control time frame were within 3% of hourly power demand, and the 99th percentile of the fluctuations was within 1% of it. With the proposed methodology, which can be generally applied, we go beyond the description of statistical properties of short-term fluctuations of PV, showing also the importance to evaluate them in a context relevant to power grid operators.

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Section: Methodsmentioning

confidence: 99%

Regional photovoltaic power fluctuations within frequency regulation control time frames: A study with high‐resolution data

Fonseca

Nishitsuji

Udagawa

et al. 2018

Progress in Photovoltaics

Self Cite

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“…As depicted by Ikegami et al [5], the actual WF output of the probability and normal distributions are observed to be different. Thus, the average (3σ), which is usually the range from which almost all the values of normal distribution are obtained, is observed to be different from the 3σ of the actual wind power fluctuation distribution.…”

Section: Percentilementioning

confidence: 95%

“…Therefore, EDC is responsible for adjusting the fluctuations of the cycles by several tens of minutes or more. The schematic for the sharing of each control is depicted in Figures 2 and 3 [5] As mentioned in Section 2.2, the actual supply/demand balancing adopts a different method for each cycle. Therefore, in this analysis, we divided the output into three variations using the centred moving average (CMA).…”

Section: Frequency Controls In Power Systemsmentioning

confidence: 99%

Geographical smoothing effects on wind power output variation in Japan

Enomoto¹,

Ikegami²,

Urabe³

et al. 2018

SGCE

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There is a growing concern that the supply and demand operations of electric power systems will become more difficult with a large number of renewable energy sources whose outputs depend on the weather variations. To investigate the countermeasures that are required to stabilize the outputs of the power systems, it is important to quantitatively evaluate the wind power output fluctuations and variations corresponding to the supply-demand balancing controls, such as turbine governor control, load frequency control, and economic-load dispatching control (EDC). With an increasing number of wind power generators being installed, these fluctuations and variations with respect to the rated output capacity will decrease because of the geographical smoothing effects, i.e., the output fluctuations and variations of multiple wind turbines will mutually cancel one another. In this study, we quantitatively evaluate the geographical smoothing effects using the actual high time-resolution wind power output data of several wind farms that is recorded in the supervisory control and data acquisition systems of the Tohoku and Kyushu power systems in Japan. Further, we evaluate the smoothing effects pertaining to the introduced wind power using various approximation curves, and it is observed that the exponential parts of the approximation curves depend on the region and cycles. Using these exponential parts, we observe that perfect smoothing effects were obtained during the shorter periods of cycles. The smoothing effects of the fluctuations in the EDC domain are observed to be small, especially in the Tohoku region.

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“…Fluctuations in wind power output can impact system wide balancing operations and cause localised voltage problems including instantaneous voltage drops, static voltage fluctuations and voltage flicker [3]. In small island systems weather conditions affect the entire system over a wide area and hence the impact of wind farm output fluctuations is more noticeable.…”

Section: A Detrimental Impact Of Windmentioning

confidence: 99%

Smart Grid Implementations for Achieving Increased Renewable Energy Proliferation in Small Island Developing States (SIDS)

Kelly

Lacey

Mekkayil

et al. 2019

2019 54th International Universities Power Engineering Conference (UPEC)

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The replacement of fossil fuel energy systems with renewable energy technologies is necessary to meet low carbon targets. However the inclusion of variable renewable energy generators in island grids can result in generation exceeding demand in instances of high renewable resource availability. A case study of Fair Isle is considered in this paper where until October 2018 the excess wind power was discarded through dump loads. The paper investigates the impacts of using electric vehicles (EVs) in the place of the dump loads to make better use of the excess power. HOMER was used to model the existing and the proposed systems and obtain power supply values. Power flow analyses on the proposed system were conducted using IPSA. The results indicate that up to 8 EVs can be subjected to scheduled charging at a time, between 23:00 and 07:00 when there is the highest wind penetration and lowest consumer power demand.

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Numerical definitions of wind power output fluctuations for power system operations

Cited by 49 publications

References 36 publications

Regional photovoltaic power fluctuations within frequency regulation control time frames: A study with high‐resolution data

Regional photovoltaic power fluctuations within frequency regulation control time frames: A study with high‐resolution data

Geographical smoothing effects on wind power output variation in Japan

Smart Grid Implementations for Achieving Increased Renewable Energy Proliferation in Small Island Developing States (SIDS)

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