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Prof William Holderbaum's Outputs (32)

High Hybrid Power Converter Performance Using Modern-Optimization-Methods-Based PWM Strategy (2022)
Journal Article
Nusair, K., Alasali, F., Holderbaum, W., Vinayagam, A., & Aziz, A. (2022). High Hybrid Power Converter Performance Using Modern-Optimization-Methods-Based PWM Strategy. Electronics, 11(13), 2019. https://doi.org/10.3390/electronics11132019

Recently, interest in DC networks and converters has increased due to the high number of applications in renewable energy systems. Consequently, the importance of improving the efficiency of the hybrid converters has been highlighted. An optimal cont... Read More about High Hybrid Power Converter Performance Using Modern-Optimization-Methods-Based PWM Strategy.

Modern Optimal Controllers for Hybrid Active Power Filter to Minimize Harmonic Distortion (2022)
Journal Article
Alasali, F., Nusair, K., Foudeh, H., Holderbaum, W., Vinayagam, A., & Aziz, A. (2022). Modern Optimal Controllers for Hybrid Active Power Filter to Minimize Harmonic Distortion. Electronics, 11(9), 1453. https://doi.org/10.3390/electronics11091453

Nowadays, AC distributed power networks are facing many challenges in guaranteeing and improving the required level of power quality indices in power networks with increasing nonlinear, time-variable and unbalanced loads. Power networks can benefit f... Read More about Modern Optimal Controllers for Hybrid Active Power Filter to Minimize Harmonic Distortion.

Highly Fast Innovative Overcurrent Protection Scheme for Microgrid Using Metaheuristic Optimization Algorithms and Nonstandard Tripping Characteristics (2022)
Journal Article
Alasali, F., Zarour, E., Holderbaum, W., & Nusair, K. (2022). Highly Fast Innovative Overcurrent Protection Scheme for Microgrid Using Metaheuristic Optimization Algorithms and Nonstandard Tripping Characteristics. IEEE Access, 10, https://doi.org/10.1109/ACCESS.2022.3168158

The incorporation of renewable energy microgrids brings along several new protection coordination challenges due to the new and stochastic behaviour of power flow and fault currents distribution. An optimal coordination scheme is a potential solution... Read More about Highly Fast Innovative Overcurrent Protection Scheme for Microgrid Using Metaheuristic Optimization Algorithms and Nonstandard Tripping Characteristics.

UVC LED and conducting yarn-based heater for a smart germicidal face mask to protect against airborne viruses (2021)
Journal Article
Pattanaik, P., Holderbaum, W., Khandual, A., & Tripathy, H. (2021). UVC LED and conducting yarn-based heater for a smart germicidal face mask to protect against airborne viruses. Materials, 14(22), 6999. https://doi.org/10.3390/ma14226999

“Wear a mask. Save lives” is the slogan of WHO and all the government agencies over the world to the public. One of the most adopted prevention measures that can limit the spread of the airborne virus in the form of respiratory viral diseases, includ... Read More about UVC LED and conducting yarn-based heater for a smart germicidal face mask to protect against airborne viruses.

Optimal placement of FACTS devices and power‐flow solutions for a power network system integrated with stochastic renewable energy resources using new metaheuristic optimization techniques (2021)
Journal Article
Nusair, K., Alasali, F., Hayajneh, A., & Holderbaum, W. (2021). Optimal placement of FACTS devices and power‐flow solutions for a power network system integrated with stochastic renewable energy resources using new metaheuristic optimization techniques. International Journal of Energy Research, 45(13), 18786-18809. https://doi.org/10.1002/er.6997

Flexible AC transmission systems (FACTS) and optimal power-flow (OPF) solutions play an important role in solving power operation problems. The volatile nature of the power generation profiles from renewable energy sources, solar and wind systems, an... Read More about Optimal placement of FACTS devices and power‐flow solutions for a power network system integrated with stochastic renewable energy resources using new metaheuristic optimization techniques.

Forecasting and modelling the uncertainty of low voltage network demand and the effect of renewable energy sources (2021)
Journal Article
Alasali, F., Foudeh, H., Ali, E., Nusair, K., & Holderbaum, W. (2021). Forecasting and modelling the uncertainty of low voltage network demand and the effect of renewable energy sources. Energies, 14(8), 2151. https://doi.org/10.3390/en14082151

More and more households are using renewable energy sources, and this will continue as the world moves towards a clean energy future and new patterns in demands for electricity. This creates significant novel challenges for Distribution Network Opera... Read More about Forecasting and modelling the uncertainty of low voltage network demand and the effect of renewable energy sources.

A comparative study of optimal energy management strategies for energy storage with stochastic loads (2020)
Journal Article
Alasali, F., Haben, S., Foudeh, H., & Holderbaum, W. (2020). A comparative study of optimal energy management strategies for energy storage with stochastic loads. Energies, 13(10), 2596. https://doi.org/10.3390/en13102596

This paper aims to present the significance of predicting stochastic loads to improve the performance of a low voltage (LV) network with an energy storage system (ESS) by employing several optimal energy controllers. Considering the highly stochastic... Read More about A comparative study of optimal energy management strategies for energy storage with stochastic loads.

A comparative study of energy storage systems and active front ends for networks of two electrified RTG cranes (2019)
Journal Article
Alasali, F., Luque, A., Mayer, R., & Holderbaum, W. (2019). A comparative study of energy storage systems and active front ends for networks of two electrified RTG cranes. Energies, 12(9), 1771. https://doi.org/10.3390/en12091771

The global consumerism trend and the increase in worldwide population is increasing the need to improve the efficiency of marine container transportation. The high operating costs, pollution and noise of the diesel yard equipment is leading sea ports... Read More about A comparative study of energy storage systems and active front ends for networks of two electrified RTG cranes.

Optimal energy management and MPC strategies for electrified RTG cranes with energy storage systems (2017)
Journal Article
Alasali, F., Haben, S., Becerra, V., & Holderbaum, W. (2017). Optimal energy management and MPC strategies for electrified RTG cranes with energy storage systems. Energies, 10(10), 1598. https://doi.org/10.3390/en10101598

This article presents a study of optimal control strategies for an energy storage system connected to a network of electrified Rubber Tyre Gantry (RTG) cranes. The study aims to design optimal control strategies for the power flows associated with th... Read More about Optimal energy management and MPC strategies for electrified RTG cranes with energy storage systems.

Rigid body trajectories in different 6D spaces (2012)
Journal Article
Linton, C., Holderbaum, W., & Biggs, J. (2012). Rigid body trajectories in different 6D spaces. International Scholarly Research Notices, 2012, 467520. https://doi.org/10.5402/2012/467520

The objective of this paper is to show that the group SE3 with an imposed Lie-Poisson structure
can be used to determine the trajectory in a spatial frame of a rigid body in Euclidean space.
Identical results for the trajectory are obtained in sphe... Read More about Rigid body trajectories in different 6D spaces.