Management and control systems for large scale integration of renewable energy sources into the electrical networks

Resende, F. O.; Lopes, João

doi:10.1109/eurocon.2011.5929423

Cited by 15 publications

(2 citation statements)

References 18 publications

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“…Demand-side management is in right field to optimise the issue regarding peak demand. For making this, two parallel approaches are used at the time of peak demand situations by using and promoting energy-efficient technologies and developing strategies for controlling the aggregated power demand [6]. As there are sufficient amount of large power plants which are feeding into the grid and trying to maintain the generation and consumption balanced at overall time duration.…”

Section: Literature Surveymentioning

confidence: 99%

Challenges in Integrating Renewable Sources into a Utility Grid

Krishna*,

Maharana,

Panigrahi

2020

IJITEE

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In India, Electrical Power System is adapted to handle both constant loads and variable loads, also power is generated in two types; one is due to fossil fuels, and another one is due to renewable energy sources. However, renewable energy sources are playing a vital role in the production of clean energy and also useful for the reduction in greenhouse emission. Nevertheless, when there is any additional change in the generation side concerning to input supply, which is due to the uncertainty of nature, can create new challenges for the system operators and utility centers. It is not an easy task for the utility centres and supply operators to integrate variable renewable energy sources with the utility grid. This paper explores an overview of some operational techniques and solutions, which are helpful for high penetration of renewable energy sources such as solar and wind energy. It also explores operation, control management and challenges due to renewable energy when they integrated with the utility grid. By interfacing of renewable energy sources with a utility grid with proper management and control can provide bi-directional communication between suppliers and consumers smartly. The aim of integrating large scale renewable sources from transmission and distribution network into an existing system is to reduce the power quality issues, demand response, forecasting, peak demand, and improve network security, fast scheduling and dispatch, aiming towards smart grid technology for electrical power systems.

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Section: Literature Surveymentioning

confidence: 99%

Challenges in Integrating Renewable Sources into a Utility Grid

Krishna*,

Maharana,

Panigrahi

2020

IJITEE

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“…Among all energy sources, the national offshore wind power capacity is estimated to reach 12 GW by 2030 in Korea, which accounts for half of all renewable energy sources and 10% of the total power generated by the installed power generators. However, the uncertainty of power systems increases with an increase in electricity production resulting from variable renewable energy sources when large-scale (10% or higher) wind power generation is added to the existing power generation systems due to the aggressive government policy [4][5][6][7]. Advanced countries whose electricity production consists of over 10% wind energy, such as Denmark and Germany [8], are already operating their own intelligent power systems with wind power forecasting for transmission system operators in maintaining the reliability and stability of the electricity supply.…”

Section: Introductionmentioning

confidence: 99%

Offshore Wind Speed Forecasting: The Correlation between Satellite-Observed Monthly Sea Surface Temperature and Wind Speed over the Seas around the Korean Peninsula

Kim

Kang

2017

Energies

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Abstract:Wind power forecasting is a key role for large-scale wind power penetration on conventional electric power systems by understanding stochastic nature of winds. This paper proposes an empirical statistical model for forecasting monthly offshore wind speeds as a function of remotely sensed sea surface temperatures over the seas around the Korean Peninsula. The model uses the optimal lagged multiple linear regression method, and predictors are characterized by mixed periodicities derived from the autocorrelation between spatially variable satellite-observed sea surface temperatures and wind speeds at all grid points over a period of about ten years (2001 to 2008). Offshore wind speeds were found to be correlated with sea surface temperatures within a seasonal range of two-to four-month lags. In particular, offshore wind speeds were closely associated with the sea surface temperature at lag 4 M, followed by lag 3 M and lag 2 M. Correlation is less at lag 1 M as compared lag 2 M, lag 3 M and lag 4 M. The results demonstrate that this approach successfully produces accurate depictions of monthly wind speeds at the gridded network. The hindcast offshore wind speeds and wind power density showed slightly improved skills compared to the seasonally varying climatology with the value of root-mean square errors, +18% and +23%, respectively. The spatial distributions of the monthly gridded wind speed and wind power density remained fairly stable from one month to another, whereas individual regions displayed slight differences in variability. The results of this study are expected to be useful in establishing guidelines for operating and managing nascent offshore farms around the Korean Peninsula.

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Suboptimal Distributed LQR Design for Physically Coupled Systems

Guo

Galimberti

et al. 2020

IFAC-PapersOnLine

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Management and control systems for large scale integration of renewable energy sources into the electrical networks

Cited by 15 publications

References 18 publications

Challenges in Integrating Renewable Sources into a Utility Grid

Challenges in Integrating Renewable Sources into a Utility Grid

Offshore Wind Speed Forecasting: The Correlation between Satellite-Observed Monthly Sea Surface Temperature and Wind Speed over the Seas around the Korean Peninsula

Suboptimal Distributed LQR Design for Physically Coupled Systems

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