Impacts of photovoltaic/wind turbine/microgrid turbine and energy storage system for bidding model in power system

Shi, Xiaolong; Dini, Anoosh; Shao, Zehui; Jabarullah, Noor H.; Liu, Zhenling

doi:10.1016/j.jclepro.2019.04.042

Cited by 34 publications

(16 citation statements)

References 30 publications

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“…e present exploratory research investigation is aimed to explore the transport anxiety using the Internet of vehicle by considering the concern for information privacy and its ultimate impact on the behaviour intentions for the ultimate user or drivers of connected vehicles in the transport sector [42]. For this purpose, a survey-based questionnaire research instrument was developed as per the measurement and scales adopted by [8,20,21,28].…”

Section: Development Of Scalementioning

confidence: 99%

Governance in the Internet of Vehicles (IoV) Context: Examination of Information Privacy, Transport Anxiety, Intention, and Usage

Hussain¹,

Kamarudin

Sanusi

et al. 2021

Journal of Advanced Transportation

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This study examines the validity and acceptability of concern for information privacy with the Internet of vehicle context. For this purpose, the exploratory and confirmatory analysis processes were performed for testing the validity of concern for the Internet of vehicle information privacy. A total number of 357 responses were received online which were complete in all respects from college and university students studying information system course at undergraduate and graduate level. The estimated results obtained from exploratory and confirmatory factor analysis revealed that 3-dimension construct containing collection, error, and information accuracy measuring governance for Internet of vehicle information privacy (CFIOVIP) was validated through second order construction with strong goodness-of-fit estimates. The relevant factors were reliable and valid as per their internal and external validity estimates of Cronbach Alpha, average variance extracted, composite reliability, discriminant validity, and factor loading values including their fitness indices for 16 items for 3-dimension construct of CFIOVIP. The findings of the study indicate that Internet of vehicle users view secondary usage of information and unauthorised access of information as the same dimension with the title of information access for measuring CFIOVIP along with two other constructs like collection and error in information for the Internet of vehicle context. The study recommends a 2nd order CFIOVIP construct based on three dimensions, namely, collection, error, and information access, for testing the present governance of the Internet of vehicles.

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Section: Development Of Scalementioning

confidence: 99%

Governance in the Internet of Vehicles (IoV) Context: Examination of Information Privacy, Transport Anxiety, Intention, and Usage

Hussain¹,

Kamarudin

Sanusi

et al. 2021

Journal of Advanced Transportation

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“…Two additional control variables are incorporated into the model in order to capture the target adjustment behavior which allows us to isolate the impact of equity mispricing on deviation from target leverage. D hi and D lo take the values of one (or zero otherwise) if firms' borrowing levels in the previous year was in the top (bottom) fifth of the distribution accordingly [67].…”

Section: Multiple Regression Modelmentioning

confidence: 99%

Artificial Neural Network to Model Managerial Timing Decision: Non-linear Evidence of Deviation from Target Leverage

Hussain¹,

Kamarudin²,

Thaker³

et al. 2019

IJCIS

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The current study highlights the utilization of a non-linear model to analyze an important decision-making process in the study of corporate finance where managers are deciding on the capital structure of a firm. This study compares the results from based on the unbalanced panel data multiple regression for firm fixed effects relative to the artificial neural networks, i.e., ANN, with known determinants of capital structure as control variables for a sample of UK firms respectively. Results of the study show that firms are timing away from target levels which challenges the current findings in the literature. The ANN model achieves a better fit based on the root of mean-squared error (RMSE) values which provides a more accurate forecast. Thus, the nature of balancing between cost of being off-target versus benefits gained from timing the equity market is non-linear and which is captured by ANN. Implications from the study allow market players to understand the process of achieving optimal capital structure to maximize firm value and thus benefit all stakeholders.

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“…Because of the dependence of voltage generation on photovoltaics to weather conditions and considering the reliability, renewable energy sources are employed in hybrid configuration. In [3] and [4], the combination of photovoltaic systems and wind turbines has been used. Reference [3] presents an appropriate and robust strategy for the existing uncertainties.…”

Section: Introductionmentioning

confidence: 99%

“…In [3] and [4], the combination of photovoltaic systems and wind turbines has been used. Reference [3] presents an appropriate and robust strategy for the existing uncertainties. In [4], a sliding mode method based on fuzzy-neural and radial basis function network has been used for photovoltaic and wind turbines, respective-ly.…”

Section: Introductionmentioning

confidence: 99%

A Sliding Mode Controller Based on Robust Model Reference Adaptive Proportional-integral Control for Stand-alone Three-phase Inverter

Esmaeili

Asadi

2021

Journal of Modern Power Systems and Clean Energy

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This paper proposes a sliding mode controller based on robust model reference adaptive proportional-integral (RMRA-PI) control for a stand-alone voltage source inverter (SA-VSI). The proposed controller has two control loops where the coefficients of PI controller are regulated by the adaptive sliding law. This method is used to regulate the output voltage of the inverter under different load conditions and uncertainty, and adapts the output to the reference model to reduce the total harmonic distortion (THD). In this paper, the stability of the proposed controller is proven by using Lyapunov' s theory and Barbalet's lemma. The proposed controller performs well in voltage regulation such as low THD under sudden load change and uncertainty. Also, the results of the proposed controller are compared with PI controller to show the effectiveness of the presented control system. Index Terms--Robust model reference adaptive proportionalintegral (RMRA-PI) control, stand-alone inverter, three-phase inverter, voltage control, Lyapunov' 's theory.

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Impacts of photovoltaic/wind turbine/microgrid turbine and energy storage system for bidding model in power system

Cited by 34 publications

References 30 publications

Governance in the Internet of Vehicles (IoV) Context: Examination of Information Privacy, Transport Anxiety, Intention, and Usage

Governance in the Internet of Vehicles (IoV) Context: Examination of Information Privacy, Transport Anxiety, Intention, and Usage

Artificial Neural Network to Model Managerial Timing Decision: Non-linear Evidence of Deviation from Target Leverage

A Sliding Mode Controller Based on Robust Model Reference Adaptive Proportional-integral Control for Stand-alone Three-phase Inverter

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