Hybrid control of DFIGs for short‐term and long‐term frequency regulation support in power systems

AbstractDyslexia, defined as a specific impairment in decoding the written script, is the most widespread learning difficulty. However, individuals with dyslexia (IDDs) also consistently manifest reduced short-term memory (STM) capacity, typically measured by Digit Span or non-word repetition tasks. In this paper we report two experiments which test the effect of item frequency and the effect of a repeated sequence on the performance in STM tasks in good readers and in IDDs. IDDs’ performance benefited less from item frequency, revealing poor use of long-term single item statistics. This pattern suggests that the amply reported shorter verbal spans in dyslexia may in fact reflect their impaired sensitivity to items’ long-term frequency. For repeated sequence learning, we found no significant deficit among IDDs, even when a sensitive paradigm and a robust measure were used.

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Real-time optimisation of emergency demand response and HVDC power modulation to improve short-term frequency stability of the receiving-end power systems

The Journal of Engineering ◽

10.1049/joe.2018.8682 ◽

2019 ◽

Vol 2019 (16) ◽

pp. 1952-1957 ◽

Cited By ~ 1

Author(s):

Luping Wang ◽

Xiaorong Xie ◽

Long Peng ◽

Yinghong Hu ◽

Yuan Zhao

Keyword(s):

Power Systems ◽

Real Time ◽

Demand Response ◽

Frequency Stability ◽

Short Term ◽

Term Frequency ◽

Power Modulation

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Long-term and short-term frequency stabilities in sinusoidal oscillators

10.1109/iscas.1988.15007 ◽

2003 ◽

Author(s):

R. Wojtyna

Keyword(s):

Short Term ◽

Term Frequency ◽

Sinusoidal Oscillators

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Long- and Short-Term Comparative Analysis of Renewable Energy Sources

Energies ◽

10.3390/en13143610 ◽

2020 ◽

Vol 13 (14) ◽

pp. 3610

Author(s):

Dawid Buła ◽

Dariusz Grabowski ◽

Andrzej Lange ◽

Marcin Maciążek ◽

Marian Pasko

Keyword(s):

Renewable Energy ◽

Power Systems ◽

Renewable Energy Sources ◽

Mass Effect ◽

Distribution Networks ◽

Energy Sources ◽

Short Term ◽

Starting Point ◽

Power And Energy

Network working conditions are influenced noticeably by the connection of renewable energy sources to distribution networks. This becomes more and more important due to the increase in renewable energy source penetration over the last few years. This in turn can lead to a mass effect. As a result, the classical open network model with simple unidirectional direction of energy flow has been replaced with an active model that includes many local energy sources. This paper deals with the analysis of long- and short-term changes in power and energy generated by three types of renewable energy sources with similar rated power and which operate in the same region (i.e., located no more than tens of kilometers away). The obtained results can be a starting point for a broader evaluation of the influence of renewable energy sources on power quality in power systems, which can be both positive (supply reliability) and negative (voltage fluctuations and higher harmonics in current and voltage waveforms). It is important not only to correctly place but also to assure the diversity of such sources as it has been confirmed by the source variability coefficient. The long-term analysis allows us also to estimate the annual repeatability of energy production and, furthermore, the profitability of investment in renewable sources in a given region.

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