Assessing the Impact of VSC-HVDC on the Interdependence of Power System Dynamic Performance in Uncertain Mixed AC/DC Systems

Mochamad, Rian Fatah; Preece, Robin

doi:10.1109/tpwrs.2019.2914318

Cited by 19 publications

(11 citation statements)

References 17 publications

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“…In recent years, the renewable energy industry is increasing, including in Indonesia. This development is influenced by the increasing concern, government, private sector, and the community related to its use in various aspects of life [21]. In this case, to carry out activities in the economic sector is in dire need of entrepreneurial learning innovation.…”

Section: A Deconstruction Of Comprehension Of Power-based Technopreneurship In the Digital Technology Eramentioning

confidence: 99%

Formulation Model of Power Based Technopreneurship in the Digital Technology Era

Elyta¹,

Martoyo²,

Herlan³

2021

International Journal on Advanced Science, Engineering and Information Technology

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The advancement of digital technology today has driven innovation in various aspects, including small and medium enterprises (SMEs) related to cybersecurity. The formulation of this problem is how to develop a manpower-based technopreneurship model by looking at the use of technology in empowering innovative resources. This research aims to analyze how to design a power-based technopreneurship formulation model in the era of digital technology. This research analyzed the literature using analytical techniques from journals and related news about energy-based technopreneurship in the digital technology era. This study indicates that power-based technopreneurship in small and medium enterprises is motivated to develop their business to take advantage of the times accompanied by advances in digital technology. This rebuilds the understanding of power-based technopreneurship in the era of digital technology to strengthen the business and potential of existing resources through technological updates that generate economic benefits. This condition shows a reference that contains considerations in the business environment in technological competition, especially in the international field. The results of this study indicate that there are three potential strength-based technopreneurship, namely thread starter, private message, transactions via virtual accounts (internet banking), delivery services, and "UKM Go Digital." The first challenge in strength-based technopreneurship is cybersecurity with solutions, namely mapping threats, strengthening laws, and maintaining good coordination between institutions. The second challenge is a global competition with solutions, creating innovations, adopting products by local companies, and making policies according to the government's competitive environment.

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Section: A Deconstruction Of Comprehension Of Power-based Technopreneurship In the Digital Technology Eramentioning

confidence: 99%

Formulation Model of Power Based Technopreneurship in the Digital Technology Era

Elyta¹,

Martoyo²,

Herlan³

2021

International Journal on Advanced Science, Engineering and Information Technology

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“…As a result, correlation-relevant indexes, with solid mathematical definitions, are able to be applied in complementarity quantification. For instance, Pearson coefficient [25], Spearman coefficient [26] and Kendall coefficient [27] are three frequently-used indicators in mathematical statistics to measure the degree of correlation between two time series. And from the perspective of stochastic optimization, joint distribution functions and probability density functions are commonly used to depict the correlation of variables, the former of which is often seen in the form of Copula function including t copula, Gaussian copula, Gumbel copula, Clayton copula and Frank Copula [1], while the latter of which is often obtained by Kernel Density Estimation method [24].…”

Section: Complementarity Analysismentioning

confidence: 99%

Complementary operation of multi-renewable energy system with pumped storage

2021

CSEE JPES

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Complementarity is an important attribute between different renewable energy sources (RESs). Multi-renewable energy system (MRES) offers an alternative to aggregate diverse RESs and make the best of their mutual characteristics. However, few papers conduct convincing research into the complementary operation of MRES. This paper investigates the complementarities in MRES that contains wind, photovoltaic, run -off hydro, pumped storage power plants and incorporates complementarity into optimal operation of MRES. The complementarity is theoretically summarized and firstly classified into natural and synthetical one. To effectively capture the uncertainty and complementarity of RESs, the time-dependent clustering simulation technique is employed to generate the joint-scenarios. An equivalent run-off hydropower plant index is proposed, based on which a novel complementary operation model that considers volatility and self-sufficient adequacy is established. Results are presented and compared in the case study, which demonstrate the validity and scalability of the proposed methodology, reveal the complementarities under multiple time-scales, and illustrate the significance of complementary operation.

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“…In China, with installations of large-scale renewable generators, DC transmission systems, and other power electronic equipment [1][2][3], the dynamic characteristics of power system frequency, voltage, and power angle are becoming increasingly complicated [4][5][6][7][8]. This seriously threatens the operating security of the power grid.…”

Section: Introductionmentioning

confidence: 99%

Convolutional neural network‐based power system frequency security assessment

Wang

Liu

et al. 2021

IET Energy Syst Integration

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Weak inertia characteristics of power systems with high penetrations of renewables have become a prominent problem for frequency security. To solve this problem, a convolutional neural network (CNN)-based deep learning approach is applied to realize rapid frequency security assessment (FSA). First, the time series frequency security feature is autonomously mined from the wide-area measurement data to serve as the input data. By doing so, the complex construction process of frequency security feature quantity is avoided. A deep learning structure is then used to establish a non-linear mapping relationship between time series features and frequency security indicators to realize end-toend power system frequency security prediction. Next, the evaluation accuracy of the proposed approach is optimized by tuning the key parameters in the CNN-based evaluation model. Through data measurement error analysis and a wind penetration sensitivity study, the anti-interference performance of the proposed evaluation model is demonstrated. Finally, the effectiveness of the CNN-based FSA is verified by case studies of a modified 16-machine 68-node system and the China Southern Power Grid.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Assessing the Impact of VSC-HVDC on the Interdependence of Power System Dynamic Performance in Uncertain Mixed AC/DC Systems

Cited by 19 publications

References 17 publications

Formulation Model of Power Based Technopreneurship in the Digital Technology Era

Formulation Model of Power Based Technopreneurship in the Digital Technology Era

Complementary operation of multi-renewable energy system with pumped storage

Convolutional neural network‐based power system frequency security assessment

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