Search

This research examines the relationship between teachers' optimism/pessimism, primary and secondary control, and readiness for professional development in primary and secondary schools in Serbia. A total of 284 teachers participated in the study (82% female, M age =42.58, SD age =9.40), with an average of 17 years of teaching experience, and filled out the Teachers' Readiness for Professional Development Scale (RPD-Ts), the Optimism/Pessimism Scale (O/P), and the Primary and Secondary Control Scales (PSC). Optimism and Pessimism represent significant predictors of Primary (F(2,277) = 36.12, p

This paper proposes a data-driven approach strategy for enhancing the performance of grid forming converters (GFCs) in microgrids by leveraging the capabilities of dynamic mode decomposition (DMD) in combination with finite-control-set model predictive control (FCS-MPC). Conventional FCS-MPC, based on static models, have encountered numerous challenges in addressing parametric uncertainties in microgrid applications. To address this, the proposed strategy introduces an adaptive model based on DMD, integrated into the FCS-MPC framework to yield a more robust and reliable control technique in the presence of parametric uncertainties. The proposed data-driven approach utilizes the DMD-based model in combination with FCS-MPC to effectively share power through primary control and maintain voltage and frequency stability through secondary control, thus achieving improved reference tracking, load power variation robustness, and power quality. The effectiveness and efficiency of this proposed data-driven approach were validated through a comparative study with conventional static model FCS-MPC and double loop PI control, utilizing the MATLAB/Simulink platform. [ABSTRACT FROM AUTHOR]

This paper applies a method for reducing frequency fluctuations in power system by using Fuel Cell cogeneration system (FC cogeneration). Frequency fluctuation in power system is used as a feedback signal to a controller of FC cogeneration. In addition, the potential of power system for controlling frequency is estimated from the supply and demand record, and the timing, when power system requires the control from FC cogeneration, is determined. Thus, the effectiveness of the method is analyzed, considering the conditions in Kyushu area. The impact of the proposed method is high since the available capacity for the frequency control in power system is small in the evening. Even if 13.7% of the capacity for regulating frequency which is the pumped storage power generation on 22nd May 2019 is reduced, the FC cogeneration can regulate the frequency in power system.

The current study examines the relationship between the need for control, the Dark Triad personality traits, and hacking intent. We surveyed 523 individuals using a scenario design and investigated the role of both primary and secondary control as antecedents to Machiavellianism, psychopathy, and narcissism leading to both white-(i.e., ethical) and black-hat hacking interest. Our findings suggest that primary control is a significant antecedent to all three dark personality traits such that a higher intrinsic need for control is positively associated with Machiavellianism, narcissism, and psychopathy. Secondary control, however, has comparatively different effects on dark personality traits, demonstrating a negative effect only on psychopathy. Both Machiavellianism and psychopathy predicted both white- and black-hat hacking interests along with the perceived probability of apprehension. Overall, our findings suggest that primary control drives all three dark personality traits, yet only two of the three dark personality traits - Machiavellianism and psychopathy - are related to hacking interest. [ABSTRACT FROM AUTHOR]

• Topology of a hybrid DC/AC microgrid in islanded mode of operation. • Application of fuel cells as back up for microgrids to increase reliability. • A novel method to control frequency and voltage based on active disturbance rejection control for both primary and secondary levels. • A coordinate energy management system based on battery state of charge deviations. This paper presents a control method based on active disturbance rejection control (ADRC) for both the primary and secondary control layers in a hybrid DC/AC microgrid (MG). A DC bus inside MG includes a wind turbine generator, photovoltaic panels, a fuel cell and battery energy storage. Maintaining the DC link voltage under various scenarios is made possible by applying an energy management system (EMS) based on the deviation in the state of charge of the battery and using a fuel cell as a backup. Through a voltage source inverter, the DC bus of the MG is connected to the AC side, which supplies AC loads. Using the proposed ADRC-based control strategy for the inverter, the voltage, frequency, and power flow within the MG would be effectively controlled. In order to demonstrate the effectiveness of the proposed method, a comparison between the ADRC and PI controller has also been implemented in different scenarios, proving the superiority of the suggested controller over classical approaches. [ABSTRACT FROM AUTHOR]