Development of Estimation Method of Spatial Average Irradiance Fluctuation Characteristics Considering Smoothing Effect around Observation Point

Kato, Tatsuya; Kumazawa, Shinsuke; Honda, Nobuyuki; Koaizawa, Masakazu; Nishino, Shigeto; Suzuoki, Yasuo

doi:10.1002/ecj.11595

Cited by 6 publications

(3 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It has been confirmed that the variation rate becomes smaller when the wind power generation outputs are added, which is called the smoothing effect. Theoretically, it is considered that the standard deviation of the total output becomes N 0.5 times the standard deviation of the individual output while adding N outputs that are not correlated with one another [6] [7]. For example, consider summing the independent N outputs with a rated capacity of 1 kW.…”

Section: Central Limit Theoremmentioning

confidence: 99%

Geographical smoothing effects on wind power output variation in Japan

Enomoto¹,

Ikegami²,

Urabe³

et al. 2018

SGCE

View full text Add to dashboard Cite

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.

show abstract

Section: Central Limit Theoremmentioning

confidence: 99%

Geographical smoothing effects on wind power output variation in Japan

Enomoto¹,

Ikegami²,

Urabe³

et al. 2018

SGCE

View full text Add to dashboard Cite

show abstract

“…Actual monitored solar irradiation data (minute by minute) for Osaka, Japan, were used to generate the fluctuation in the output power of the PV system. We considered the spatial smoothing effect of the solar irradiation data based on the transfer hypothesis [31,32]. Moreover, based on this hypothesis, we have analyzed the effect of spatial smoothing on the variation in line temperature; this paper adopted Case B (where the area is 100 km 2 ) in [33].…”

Section: Simulation Conditionsmentioning

confidence: 99%

Evaluation Method for Real-Time Dynamic Line Ratings Based on Line Current Variation Model for Representing Forecast Error of Intermittent Renewable Generation

2017

View full text Add to dashboard Cite

Due the high penetration of intermittent renewable energy sources (IRESs), transmission line currents show large fluctuations and thus significant uncertainty. This makes it difficult to operate a power system without violating transmission capacity constraints. This paper evaluates the dynamic line ratings (DLRs) of overhead lines based on changes in the line current owing to the high penetration of intermittent renewable energy sources. In particular, by focusing on extremely large (but rare) forecasting errors in the intermittent renewable energy source output, which are generally inevitable in most forecasting methods, a model for representing the forecasting error in line with current variation due to intermittent renewable energy source output is developed. The model is based on a shape parameter that represents the equivalent current variation required for the same temperature increase as that due to the extremely large forecasting error. Finally, based on the annual minute-by-minute irradiance data, preventive control of the transmission network with dynamic line ratings is evaluated using worst-case parameter values.

show abstract

“…Similarly, [10] has used the power spectral density approach to investigate the VRI of six PV systems that are spread over 1100 km 2 geographical area in Spain using one‐second data resolution. In [11], a signal decomposition hypothesis has been used to analyse the variability of 18 sensors of the global horizontal irradiance (GHI) distributed within a radius of 30 km in Nagoya, Japan, using a Fast Fourier transform‐based analysis with data sampled in one‐minute resolution. Another method has been used in [12] in which the standard deviation is employed to evaluate the geographic smoothing for a group of 16 PV systems dispersed within 1500 km in Ontario, Canada, using a one‐hour irradiance resolution.…”

Section: Introductionmentioning

confidence: 99%

Gene expression technique‐based approach to improve the accuracy of estimating the total generated power by neighbouring photovoltaic systems

Al-Hilfi

Shahnia

Abu-Siada

2020

IET Renewable Power Generation

View full text Add to dashboard Cite

The penetration of photovoltaic systems (PVs) to existing power grids is increasing as they are considered attractive options for electricity generation in distribution networks. This paper focuses on estimating the total power generated by a group of neighbouring PVs, spread over a distribution network using a single pyranometer for measuring the solar irradiance. A new empirical‐based model that employs the Gene Expression Programming (GEP) technique is proposed to correlate the distribution of the PVs and the irradiance measured by the pyranometer and estimate the total power generated by the PVs. The geographic variability reduction index has been considered in developing the proposed model that also employs a Wavelet Transform technique to enhance its accuracy. The effective performance of the proposed model is validated using real data collected by the Solar Project at the University of Queensland, Brisbane, Australia. Results reveal that the proposed technique yields more accurate results when compared with other existing approaches in the literature.

show abstract

Development of Estimation Method of Spatial Average Irradiance Fluctuation Characteristics Considering Smoothing Effect around Observation Point

Cited by 6 publications

References 7 publications

Geographical smoothing effects on wind power output variation in Japan

Geographical smoothing effects on wind power output variation in Japan

Evaluation Method for Real-Time Dynamic Line Ratings Based on Line Current Variation Model for Representing Forecast Error of Intermittent Renewable Generation

Gene expression technique‐based approach to improve the accuracy of estimating the total generated power by neighbouring photovoltaic systems

Contact Info

Product

Resources

About