Mounir Bouzguenda | King Faisal University (original) (raw)

Papers by Mounir Bouzguenda

2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), Dec 19, 2022

Materials research proceedings, Aug 10, 2023

. The ambitious KSA 2030 Vision has among others targeted the deployment of renewable ‎energies t... more . The ambitious KSA 2030 Vision has among others targeted the deployment of renewable ‎energies to meet KSA’s primary electric load in the residential, commercial, and industrial ‎sectors. Within this framework, the authors have evaluated the economic ‎and technical feasibility of using a combination of solar PV systems and central energy ‎storage systems in the health sectors. The combination of the two sources means ‎reducing gas emissions, and increasing the instantaneous power from renewable energy ‎sources while using energy storage to counterattack the intermittency of solar PV energy ‎that is known to cause stability issues for the grid. In addition, it reduces the dependency ‎on standby diesel generators that emit high pollution levels. ‎The paper addresses the available energy storage devices and the design of a hybrid solar ‎PV system combined with battery-stored energy. Through the study, it was found that ‎up to 15 percent of the electric consumption can be provided by the solar PV system. It ‎was found that the cost of energy competes with conventional electricity. In addition, the ‎cost of storage devices has a significant impact on the cost of energy. Moreover, low payback ‎periods were obtained for some systems.

International Journal of Communication Systems, Sep 22, 2022

SummaryFog computing allows for local data processing at the edge of the network. This allows for... more SummaryFog computing allows for local data processing at the edge of the network. This allows for reduced link delays between mobile users and access points. Here, fog nodes are collocated with radio remote heads (RRHs) to provide local processing capabilities, that is, creating fog radio access network (F‐RAN) that can support ultralow latency for cellular networks that operate on millimeter wave (mmWave) bands. Here, mobile stations (MS) demand various network functions (NFs) that correspond to different service requests. Hence, it is critical to study function popularity and allow content caching at the F‐RAN. Given the limited resources at the fog nodes, it is important to efficiently manage the resources to improve network operations and enhance the capacity at reduced delays and cost. Therefore, caching in mmWave F‐RAN requires node allocation that can accommodate the highest number of cached functions. Hence, this paper proposes a novel node placement scheme that leverages Nelder–Mead meta‐heuristic. Results show that the proposed scheme yields in reduced delay, cost, and power and energy consumption.

2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)

2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)

Applied Sciences

Fog-radio access networks (F-RANs) alleviate fronthaul delays for cellular networks as compared t... more Fog-radio access networks (F-RANs) alleviate fronthaul delays for cellular networks as compared to their cloud counterparts. This allows them to be suitable solutions for networks that demand low propagation delays. Namely, they are suitable for millimeter wave (mmWave) operations that suffer from short propagation distances and possess a poor scattering environment (low channel ranks). The F-RAN here is comprised of fog nodes that are collocated with radio remote heads (RRHs) to provide local processing capabilities for mobile station (MS) terminals. These terminals demand various network functions (NFs) that correspond to different service requests. Now, provisioning these NFs on the fog nodes also yields service delays due to the requirement for service migration from the cloud, i.e., offloading to the fog nodes. One solution to reduce this service delay is to provide cached copies of popular NFs in advance. Hence, it is critical to study function popularity and allow for content...

Materials research proceedings, Aug 10, 2023

. This project involves the design of an automated system for solar panel cleaning. ‎The purpose ... more . This project involves the design of an automated system for solar panel cleaning. ‎The purpose of the design is to reduce the effect of dust on solar PV efficiency. ‎The result is an increase in the efficiency of panel power output by 6.89%. The ‎system is useful in the solar panel field where the system can be ‎operated for a ‎long time without human intervention. It measures and records current, voltage, ‎temperature, radiation, and humidity. The measured data are sent to the ‎designated supervisor.

Measurement and Control

Due to global warming, governments around the world are focusing on renewable energy as the main ... more Due to global warming, governments around the world are focusing on renewable energy as the main source of energy. Gulf countries in particular, are focusing on solar energy due to its abundance and the gulf geolocation that allows the installation of ambitious solar photovoltaic (PV) energy systems and replace conventional power plants. In order to maximize energy extraction from the sun, solar power operators need to constantly monitor key solar PV parameters such as panel temperature, solar irradiation, voltage and current in order to detect abnormalities in the PV system operation and take the necessary actions to keep the PV system performance at its maximum. However, monitoring such parameters on-site is exhausting and expensive. Moreover, remote monitoring for solar PV systems is a more attractive solution once the data collection, processing and transmission become faster and less expensive. This paper describes the design of a low-cost remote monitoring system intended for ...

2020 6th IEEE International Energy Conference (ENERGYCon), 2020

the main objective of this paper is to optimize the parameters of sliding mode controller for DC ... more the main objective of this paper is to optimize the parameters of sliding mode controller for DC motor. Ant Colony optimization (ACO) algorithms is used to obtain optimal parameters of Sliding Mode Controller (SMC), which is highly robust to the parameters variations. A model of DC motor is developed and simulated using MATLAB/SIMULINK by introducing external uncertainties and disturbances. The proposed speed control design uses gains generated by the Ant Colony optimization algorithm.

Measurement & Control, Apr 27, 2022

E3S Web of Conferences, 2022

The Maximum Power Point Tracking controller (MPPT) is a key element in Photovoltaic systems (PV) ... more The Maximum Power Point Tracking controller (MPPT) is a key element in Photovoltaic systems (PV) since it allows maintaining the PV operating point at its maximum under different temperatures and sunlight irradiations. Metaheuristic algorithms such as the ant colony optimization (ACO) are adopted and have shown their superiority to many other techniques. The perturb and observe (P&O) algorithm is a simple and efficient technique, and is one of the most commonly employed MPPT schemes for PV power generation systems. Which executed by manipulating direct duty ratio of the boost converter. P&O method miserably fails to recognize various MPPT controllers. This paper proposes ACO technique to solve real-life problems.

Large and small single-phase and three-phase induction motors are commonly used in industrial app... more Large and small single-phase and three-phase induction motors are commonly used in industrial applications. The present work represents an attempt towards the design of a high accuracy system for the measurement of fractional horsepower (FHP) induction motor losses and efficiency. The calorimeter designed and built is capable of measuring heat losses of up to 1 kW with an overall accuracy better than 3%. During all tests, ambient temperature, humidity, motor speed and motor frame temperature were recorded using precise digital instruments. The inlet, outlet temperatures and resulting losses were recorded automatically using a high accuracy 12-bit data acquisition system. The preliminary results obtained demonstrate the suitability of the designed calorimeter for the accurate measurement of losses in FHP induction motors.

Proceedings of the 24th Intersociety Energy Conversion Engineering Conference

Abstract During about one third of the Space Station's orbit the solar array output ... more Abstract During about one third of the Space Station's orbit the solar array output is zero and the payload is served by storage devices. It has been found that when a 24-hr cycle is used, some loads onboard the station cannot be scheduled during the desired times. It therefore ...

2011 IEEE PES Conference on Innovative Smart Grid Technologies - Middle East, 2011

Load forecasting is very paramount to the operation transmission and distribution electricity uti... more Load forecasting is very paramount to the operation transmission and distribution electricity utilities. It enhances the reliable planning, construction and management of the power systems. This paper presents a neural network approach for midterm load forecasting based on historical monthly load data, temperature, humidity and wind speed. The proposed approach is applied to Al-Dakhiliya franchise area of Mazoon Electricity Distribution (MZEC) Company, Oman. The results obtained by the neural networks were compared with the classical multiple linear regression models results and found more reasonable and satisfactory.

IEEE Transactions on Energy Conversion, 1994

The objective is to determine the value of photovoltaic (PV) energy when large PV systems are inc... more The objective is to determine the value of photovoltaic (PV) energy when large PV systems are incorporated into the elecmc utility generation mix. Performance analysis shows that hydro availability, generation mix, maintenance schedules, ramping rates, fuel costs, spinning reserve requirements, PV power fluctuations, and geographical diversification are among the major factors that influence the economic and operational value of PV systems for large-scale applications. Economic analysis of various PV systems shows that PV energy cost (#/kWh) depends primarily on the PV capacity factor and capital cost, while the level of PV penetration is influenced by system characteristics.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2021

This paper is devoted to the state of the art in photovoltaic (PV) conversion chains and their ar... more This paper is devoted to the state of the art in photovoltaic (PV) conversion chains and their architectures. Two major characteristics are considered to classify these chains. These are the galvanic isolation and the number of stages; characteristics generally localized around the DC-AC converter (inverter) at the end of the PV conversion chain. Therefore, this paper deals with a comprehensive review of the different inverter topologies that can be integrated into PV conversion chains, distinguishing between the transformer based and the transformer-less conversion chains. The paper demonstrates that to this date, transformer-based inverters are very common and widely used, have a long record of accomplishment as a component of solar energy systems, in particular for residential applications because of their greater efficiency, smaller size, and lower costs. Nevertheless, transformer-less chains are touted with some problems and shortcomings. Moreover, solar energy storage devices...

2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)

The aim of this study is to develop a procedure for the design of institutional grid-connected so... more The aim of this study is to develop a procedure for the design of institutional grid-connected solar PV (Photovoltaic) systems using campus buildings’ roofs and car parking shades. This procedure was developed and validated in the design of a single phase 10 kW solar photovoltaic system at King Faisal University, Al Hofuf, and Kingdom of Saudi Arabia. The method consists of 12 steps including resources assessment, site selection; grid access and requirements; supporting structure and roof type, area, orientation, strength and shading. Once the roof and supporting structure are selected, the facility layout, required grounding and lightning protection are finalized according to IEC Standards. The final stage of the design is to testing the facility. The 10 kW facility has been operating since March 2014. The results for 2014 and 2015 indicate that daily energy production were slightly below the rated values and in some months of the years, the station better that the simulated performance using PVSyst software. The lightning protection, system was considered in the study and subsequent modification would be necessary in the near future.

2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)

The integration of the PV systems into the electric power grid has many challenges. One of these ... more The integration of the PV systems into the electric power grid has many challenges. One of these challenges is to disconnect PV inverters from the grid due to excessive DC-link voltage. This may lead to stability problems in the power network. To avoid the dc-link overvoltage problem, passive and active Low Voltage Ride-Through (LVRT) control strategies have been proposed in literature. This paper focusses on the performance comparison of passive LVRT schemes such as the DC Braking Chopper (BC) with active LVRT scheme, ‘Divert the MPPT operation’ (D-MPPT) during the fault. The performance of various LVRT strategies has been evaluated through simulation of a grid connected PV system connected with multi-machine power system.

2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), Dec 19, 2022

Materials research proceedings, Aug 10, 2023

. The ambitious KSA 2030 Vision has among others targeted the deployment of renewable ‎energies t... more . The ambitious KSA 2030 Vision has among others targeted the deployment of renewable ‎energies to meet KSA’s primary electric load in the residential, commercial, and industrial ‎sectors. Within this framework, the authors have evaluated the economic ‎and technical feasibility of using a combination of solar PV systems and central energy ‎storage systems in the health sectors. The combination of the two sources means ‎reducing gas emissions, and increasing the instantaneous power from renewable energy ‎sources while using energy storage to counterattack the intermittency of solar PV energy ‎that is known to cause stability issues for the grid. In addition, it reduces the dependency ‎on standby diesel generators that emit high pollution levels. ‎The paper addresses the available energy storage devices and the design of a hybrid solar ‎PV system combined with battery-stored energy. Through the study, it was found that ‎up to 15 percent of the electric consumption can be provided by the solar PV system. It ‎was found that the cost of energy competes with conventional electricity. In addition, the ‎cost of storage devices has a significant impact on the cost of energy. Moreover, low payback ‎periods were obtained for some systems.

International Journal of Communication Systems, Sep 22, 2022

SummaryFog computing allows for local data processing at the edge of the network. This allows for... more SummaryFog computing allows for local data processing at the edge of the network. This allows for reduced link delays between mobile users and access points. Here, fog nodes are collocated with radio remote heads (RRHs) to provide local processing capabilities, that is, creating fog radio access network (F‐RAN) that can support ultralow latency for cellular networks that operate on millimeter wave (mmWave) bands. Here, mobile stations (MS) demand various network functions (NFs) that correspond to different service requests. Hence, it is critical to study function popularity and allow content caching at the F‐RAN. Given the limited resources at the fog nodes, it is important to efficiently manage the resources to improve network operations and enhance the capacity at reduced delays and cost. Therefore, caching in mmWave F‐RAN requires node allocation that can accommodate the highest number of cached functions. Hence, this paper proposes a novel node placement scheme that leverages Nelder–Mead meta‐heuristic. Results show that the proposed scheme yields in reduced delay, cost, and power and energy consumption.

2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)

2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)

Applied Sciences

Fog-radio access networks (F-RANs) alleviate fronthaul delays for cellular networks as compared t... more Fog-radio access networks (F-RANs) alleviate fronthaul delays for cellular networks as compared to their cloud counterparts. This allows them to be suitable solutions for networks that demand low propagation delays. Namely, they are suitable for millimeter wave (mmWave) operations that suffer from short propagation distances and possess a poor scattering environment (low channel ranks). The F-RAN here is comprised of fog nodes that are collocated with radio remote heads (RRHs) to provide local processing capabilities for mobile station (MS) terminals. These terminals demand various network functions (NFs) that correspond to different service requests. Now, provisioning these NFs on the fog nodes also yields service delays due to the requirement for service migration from the cloud, i.e., offloading to the fog nodes. One solution to reduce this service delay is to provide cached copies of popular NFs in advance. Hence, it is critical to study function popularity and allow for content...

Materials research proceedings, Aug 10, 2023

. This project involves the design of an automated system for solar panel cleaning. ‎The purpose ... more . This project involves the design of an automated system for solar panel cleaning. ‎The purpose of the design is to reduce the effect of dust on solar PV efficiency. ‎The result is an increase in the efficiency of panel power output by 6.89%. The ‎system is useful in the solar panel field where the system can be ‎operated for a ‎long time without human intervention. It measures and records current, voltage, ‎temperature, radiation, and humidity. The measured data are sent to the ‎designated supervisor.

Measurement and Control

Due to global warming, governments around the world are focusing on renewable energy as the main ... more Due to global warming, governments around the world are focusing on renewable energy as the main source of energy. Gulf countries in particular, are focusing on solar energy due to its abundance and the gulf geolocation that allows the installation of ambitious solar photovoltaic (PV) energy systems and replace conventional power plants. In order to maximize energy extraction from the sun, solar power operators need to constantly monitor key solar PV parameters such as panel temperature, solar irradiation, voltage and current in order to detect abnormalities in the PV system operation and take the necessary actions to keep the PV system performance at its maximum. However, monitoring such parameters on-site is exhausting and expensive. Moreover, remote monitoring for solar PV systems is a more attractive solution once the data collection, processing and transmission become faster and less expensive. This paper describes the design of a low-cost remote monitoring system intended for ...

2020 6th IEEE International Energy Conference (ENERGYCon), 2020

the main objective of this paper is to optimize the parameters of sliding mode controller for DC ... more the main objective of this paper is to optimize the parameters of sliding mode controller for DC motor. Ant Colony optimization (ACO) algorithms is used to obtain optimal parameters of Sliding Mode Controller (SMC), which is highly robust to the parameters variations. A model of DC motor is developed and simulated using MATLAB/SIMULINK by introducing external uncertainties and disturbances. The proposed speed control design uses gains generated by the Ant Colony optimization algorithm.

Measurement & Control, Apr 27, 2022

E3S Web of Conferences, 2022

The Maximum Power Point Tracking controller (MPPT) is a key element in Photovoltaic systems (PV) ... more The Maximum Power Point Tracking controller (MPPT) is a key element in Photovoltaic systems (PV) since it allows maintaining the PV operating point at its maximum under different temperatures and sunlight irradiations. Metaheuristic algorithms such as the ant colony optimization (ACO) are adopted and have shown their superiority to many other techniques. The perturb and observe (P&O) algorithm is a simple and efficient technique, and is one of the most commonly employed MPPT schemes for PV power generation systems. Which executed by manipulating direct duty ratio of the boost converter. P&O method miserably fails to recognize various MPPT controllers. This paper proposes ACO technique to solve real-life problems.

Large and small single-phase and three-phase induction motors are commonly used in industrial app... more Large and small single-phase and three-phase induction motors are commonly used in industrial applications. The present work represents an attempt towards the design of a high accuracy system for the measurement of fractional horsepower (FHP) induction motor losses and efficiency. The calorimeter designed and built is capable of measuring heat losses of up to 1 kW with an overall accuracy better than 3%. During all tests, ambient temperature, humidity, motor speed and motor frame temperature were recorded using precise digital instruments. The inlet, outlet temperatures and resulting losses were recorded automatically using a high accuracy 12-bit data acquisition system. The preliminary results obtained demonstrate the suitability of the designed calorimeter for the accurate measurement of losses in FHP induction motors.

Proceedings of the 24th Intersociety Energy Conversion Engineering Conference

Abstract During about one third of the Space Station's orbit the solar array output ... more Abstract During about one third of the Space Station's orbit the solar array output is zero and the payload is served by storage devices. It has been found that when a 24-hr cycle is used, some loads onboard the station cannot be scheduled during the desired times. It therefore ...

2011 IEEE PES Conference on Innovative Smart Grid Technologies - Middle East, 2011

Load forecasting is very paramount to the operation transmission and distribution electricity uti... more Load forecasting is very paramount to the operation transmission and distribution electricity utilities. It enhances the reliable planning, construction and management of the power systems. This paper presents a neural network approach for midterm load forecasting based on historical monthly load data, temperature, humidity and wind speed. The proposed approach is applied to Al-Dakhiliya franchise area of Mazoon Electricity Distribution (MZEC) Company, Oman. The results obtained by the neural networks were compared with the classical multiple linear regression models results and found more reasonable and satisfactory.

IEEE Transactions on Energy Conversion, 1994

The objective is to determine the value of photovoltaic (PV) energy when large PV systems are inc... more The objective is to determine the value of photovoltaic (PV) energy when large PV systems are incorporated into the elecmc utility generation mix. Performance analysis shows that hydro availability, generation mix, maintenance schedules, ramping rates, fuel costs, spinning reserve requirements, PV power fluctuations, and geographical diversification are among the major factors that influence the economic and operational value of PV systems for large-scale applications. Economic analysis of various PV systems shows that PV energy cost (#/kWh) depends primarily on the PV capacity factor and capital cost, while the level of PV penetration is influenced by system characteristics.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2021

This paper is devoted to the state of the art in photovoltaic (PV) conversion chains and their ar... more This paper is devoted to the state of the art in photovoltaic (PV) conversion chains and their architectures. Two major characteristics are considered to classify these chains. These are the galvanic isolation and the number of stages; characteristics generally localized around the DC-AC converter (inverter) at the end of the PV conversion chain. Therefore, this paper deals with a comprehensive review of the different inverter topologies that can be integrated into PV conversion chains, distinguishing between the transformer based and the transformer-less conversion chains. The paper demonstrates that to this date, transformer-based inverters are very common and widely used, have a long record of accomplishment as a component of solar energy systems, in particular for residential applications because of their greater efficiency, smaller size, and lower costs. Nevertheless, transformer-less chains are touted with some problems and shortcomings. Moreover, solar energy storage devices...

2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)

The aim of this study is to develop a procedure for the design of institutional grid-connected so... more The aim of this study is to develop a procedure for the design of institutional grid-connected solar PV (Photovoltaic) systems using campus buildings’ roofs and car parking shades. This procedure was developed and validated in the design of a single phase 10 kW solar photovoltaic system at King Faisal University, Al Hofuf, and Kingdom of Saudi Arabia. The method consists of 12 steps including resources assessment, site selection; grid access and requirements; supporting structure and roof type, area, orientation, strength and shading. Once the roof and supporting structure are selected, the facility layout, required grounding and lightning protection are finalized according to IEC Standards. The final stage of the design is to testing the facility. The 10 kW facility has been operating since March 2014. The results for 2014 and 2015 indicate that daily energy production were slightly below the rated values and in some months of the years, the station better that the simulated performance using PVSyst software. The lightning protection, system was considered in the study and subsequent modification would be necessary in the near future.

2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)

The integration of the PV systems into the electric power grid has many challenges. One of these ... more The integration of the PV systems into the electric power grid has many challenges. One of these challenges is to disconnect PV inverters from the grid due to excessive DC-link voltage. This may lead to stability problems in the power network. To avoid the dc-link overvoltage problem, passive and active Low Voltage Ride-Through (LVRT) control strategies have been proposed in literature. This paper focusses on the performance comparison of passive LVRT schemes such as the DC Braking Chopper (BC) with active LVRT scheme, ‘Divert the MPPT operation’ (D-MPPT) during the fault. The performance of various LVRT strategies has been evaluated through simulation of a grid connected PV system connected with multi-machine power system.