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Multi-objective Optimization of A CCHP System Model Integrated with P2G for Decarbonization 6

Multi-objective Optimization of A CCHP System Model Integrat...

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6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022

作者： Wei, Pengyu Bamisile, Olusola Cai, Dongsheng Li, Jian Adun, Humphrey Huang, Qi Chengdu University of Technology School of Nuclear Technology and Automation Engineering Chengdu China University of Electronic Science and Technology of China Sichuan Provincial Key Lab of Power System Wide-area Measurement and Control Chengdu China Cyprus International University KKTC Energy Systems Engineering Department Mersin10 Turkey

ISBN: (纸本)9798350347159

To realize the dual carbon policy, the goal of energy saving, and emission reduction, it is important to develop ways to better promote the low carbon economic operation of energy systems. Therefore, this research proposes an optimal operation strategy considering the electric-gas-cooling-heat demand response. Considering the demand response of each participant, an integrated energy system model with photovoltaic, wind energy, and traditional grid as energy supply. Also, electric energy, natural gas, cooling, and heating subsystems with co-production are established. With minimizing the overall system operation cost and optimizing environmental protection, the improved particle swarm optimization algorithm is used to solve the multi-constrained objective optimization problem. Finally, the optimized model is tested. The results from this study show that the energy system under cogeneration can find a balance between economy and environmental friendliness, and provide a reference for the subsequent energy supply configuration. © 2022 IEEE.

关键词： Environmental protection

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Design and Implementation of Cascaded Ant Colony Optimization Coupled with Sliding Mode controller for Autonomous Cruise control System

Design and Implementation of Cascaded Ant Colony Optimizatio...

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Energy Technologies for Future Grids (ETFG), IEEE International Conference on

作者： Muhammad Majid Gulzar Muhammad Mughees Ahmed Adnan Shakoor Muhammad Khalid Department of Control & Instrumentation Engineering Interdisciplinary Research Center for Renewable Energy and Power Systems (IRC-REPS) King Fahd University of Petroleum & Minerals Dhahran Saudi Arabia Department of Electrical Engineering University of Central Punjab Lahore Pakistan Electrical Engineering Department Interdisciplinary Research Center for Renewable Energy and Power Systems (IRC-REPS) King Fahd University of Petroleum & Minerals Dhahran Saudi Arabia

Driving assist systems are being widely used in modern cars nowadays for safety, efficiency and comfort. These systems are used in cruise control, self-driving control and even obstacle avoidance. All these systems include a lot of sensors and radars, which work together and generate fast responses to manipulate the direction or speed of a car. The main objective of using this sort of technology is to reduce accidents by reducing stress on the driver by increasing comfort of travel. The aim of this research is to develop a controller for cruise control in vehicles that can help to reach the desired speed most accurately, quite fast and efficiently. The proposed Ant Colony Optimization coupled with Sliding Mode controller (ACO & SMC) used in this research is more accurate and robust that can help to tune the parameters in a way that the cruise control system gives a minimum error, stable results with the least possible disturbances. Later on, the results are also compared with already used state-of-the-art technologies implemented for cruise control to show the superiority of the proposed controller.

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Narrowband-IoT Based Integrated Framework for Monitoring Pipeline Condition in Oil and Gas Industry

Narrowband-IoT Based Integrated Framework for Monitoring Pip...

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2023 International Conference on control, Automation and Diagnosis, ICCAD 2023

作者： Quamar, Md Muzakkir Khan, Khalid Abdullah Khalid, Muhammad King Fahd University of Petroleum & Minerals Department of Control & Instrumentation Dhahran Saudi Arabia Electrical Engineering Department King Fahd University of Petroleum & Minerals Dhahran Saudi Arabia King Fahd University of Petroleum & Minerals IRC for Renewable Energy and Power Systems Dhahran Saudi Arabia SDAIA-KFUPM Joint Research Center for Artificial Intelligence Dhahran Saudi Arabia King Fahd University of Petroleum & Minerals IRC for Smart Mobility and Logistics Dhahran Saudi Arabia

ISBN: (纸本)9798350347074

The recent global development of smart devices in the field of low-power wide area network (LPWAN) technology and cloud computing has enabled transition of numerous industries towards smart solutions. An accelerated growth was experienced in the field of oil and gas (O&G) industry, for the various operation of upstream, downstream, fault management, and monitoring that is expected to increase exponentially. The advanced solutions facilitated by LPWAN and cloud have great advantages over manual wired/wireless such as decreased infrastructure cost, reliable and fast communication systems, ubiquitous access to business applications and flexible business model. In LPWAN, narrowband internet-of-things (NB-IOT) is one the most promising technologies that offers a huge benefit in terms of QoS, Latency, reliability, range, cost and battery lifetime. Given the advantages of NB-IOT, in this paper we propose a framework for utilizing the NB-IOT with the major cloud technologies available in the market for fault detection and monitoring in the O&G industry. © 2023 IEEE.

关键词： Internet of things

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Short-Term Wind Speed Prediction for Saudi Arabia via 1D-CNN

Short-Term Wind Speed Prediction for Saudi Arabia via 1D-CNN

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IEEE International Conference on System engineering and Technology

作者： Abdulrahman Katranji Md Shafiullah Shafiqur Rehman Electrical Engineering Department King Fahad University of Petroleum & Minerals (KFUPM) Dhahran Saudi Arabia Control & Instrumentation Engineering IRC for Renewable Energy and Power Systems (IRC-REPS) K.A.CARE Energy Research & Innovation Center (ERIC) KFUPM Dhahran Saudi Arabia IRC for Renewable Energy and Power Systems (IRC-REPS) KFUPM Dhahran Saudi Arabia

As fluctuating wind power is incorporated into the energy mix, grid operators encounter dire challenges. Managing grid operations requires accurate knowledge of available wind power and its variation with time. Wind power can be estimated by providing reliable and fast wind speed prediction at different hub heights. Hence, this study proposes a one-dimensional convolutional neural network (1D-CNN) model for wind speed prediction at different heights and aboveground levels (AGL). The results of the proposed model are compared with three deep learning models to validate its repeatability. The results show a competitive performance between the proposed model and the gated recurrent unit (GRU) network. Furthermore, the study indicates that capturing wind speed at 18m height for training is sufficient for predicting wind speed at higher elevations. Further research could focus on adding exogenous variables to assess their impact on predicting wind speed at different AGL heights.

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A Decentralized Multiagent-Based Robust Backstepping control for Restoring Secondary Voltage and Frequency of Autonomous Microgrids 11

A Decentralized Multiagent-Based Robust Backstepping Control...

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11th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2022

作者： Maaruf, Muhammad El-Ferik, Sami Al-Ismail, Fahad Saleh Khalid, Muhammad King Fahd University of Petroleum & Minerals Control and Instrumentation Engineering Department & Center for Smart Mobility and Logistics Dhahran31261 Saudi Arabia King Fahd University of Petroleum & Minerals Electrical Engineering Department & Center for Renewable Energy and Power Systems Dhahran31261 Saudi Arabia King Fahd University of Petroleum & Minerals SDAIA-KFUPM Joint Research Center for Artificial Intelligence Dhahran31261 Saudi Arabia

ISBN: (数字)9781665471404

ISBN: (纸本)9781665471404

The droop characteristics of primary control of autonomous microgrids cause voltages and frequencies of the distribution generations (DGs) to deviate from their reference values. Various secondary control approaches have been proposed to tackle this problem. This paper proposes a decentralized synchronization control to restore the voltages and frequencies to their initial states. The control problem is formulated using the robust backstepping strategy and takes into account the impacts of dynamic uncertainties and external disturbances. The network of the interconnected DGs is modeled with a decentralized multi-agent system (MAS) such that each generator is monitored by its own local controller and then takes proper action to maintain the voltage and frequency synchronizations. By employing the Lyapunov stability theory, it is shown that the closed-loop tracking errors are asymptotically stable. Finally, simulation results demonstrated that the presented secondary control technique is effective in synchronizing the voltages and frequencies of the microgrids. © 2022 IEEE.

关键词： Backstepping

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Systematic control of Electro-hydraulic Velocity Servomechanism using Fractional Order Technique

Systematic Control of Electro-hydraulic Velocity Servomechan...

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International Conference on control, Automation and Diagnosis (ICCAD)

作者： Muhammad Majid Gulzar Fahad Usman Khan Daud Sibtain Adnan Shakoor Muhammad Khalid Department of Control & Instrumentation Engineering Department of Electrical Engineering University of Central Punjab Lahore Pakistan Energy Center of Excellence (ECoE) Harbin Electric International Harbin China Electrical Engineering Department Interdisciplinary Research Center for Renewable Energy and Power Systems (IRC-REPS) King Fahd University of Petroleum & Minerals Dhahran Saudi Arabia

Electro-Hydraulic ServoMechanism (EHSM) is a nonlinear system with tentative dynamics, whose control is a difficult task. In this research, an alternative to the existing technique, a fractional order PID control-based approach, is presented. Initially, a SIMULINK based nonlinear model is constructed. The linear model is obtained by approximating the non-linearity using the bilinear transformation. Pole placement is blended with the Ziegler-Nichols tuning method to carry out the controller design and controller parameter tuning. The results are compared with conventional PID, and stability analysis is also analyzed. The results of the fractional order controller show satisfactory improvement than the results of conventional PID.

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Robust Optimal Virtual Inertia control for Microgrid Frequency Regulation Considering High Renewable Energy Penetration 11

Robust Optimal Virtual Inertia Control for Microgrid Frequen...

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11th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2022

作者： Maaruf, Muhammad Ferik, Sami El Saleh Al-Ismail, Fahad Khalid, Muhammad King Fahd University of Petroleum & Minerals Control and Instrumentation Engineering Department Center for Smart Mobility and Logistics Dhahran31261 Saudi Arabia King Fahd University of Petroleum & Minerals Electrical Engineering Department Center for Renewable Energy and Power Systems Dhahran31261 Saudi Arabia King Fahd University of Petroleum & Minerals SDAIA-KFUPM Joint Research Center for Artificial Intelligence Dhahran31261 Saudi Arabia

ISBN: (数字)9781665471404

ISBN: (纸本)9781665471404

The rapid increase in penetration of wind and solar power into power systems reduces the rotational inertia of the systems. The low inertia results in high-frequency perturbation and rate of change of frequency (RoCoF), which could lead to frequency instability during contingencies. This problem can be tackled by developing virtual inertia (VI) control scheme in the microgrid (MG). The VI control injects active power via an energy storage system (ESS) to the MG during periods of frequency deviations. In this way, the VI control imitates the inertia characteristic and adds to the total inertia of the MG. Therefore, this paper proposes a robust linear quadratic integral regulator (LQRI) to regulate the frequency deviation and enhance the MG frequency stability. The control problem is formulated in terms of linear matrix inequalities (LMI) in the discrete-time domain. The optimal controller gains are obtained by solving the LMI using convex optimization. The correctness and efficiency of the proposed scheme are demonstrated via discrete time-domain simulation under varying renewable energy sources and loads. The results show that the proposed controller can suppress the frequency deviation at a very fast rate. Finally, a comparative examination of the proposed scheme with an existing VI controller is provided to highlight the improvement in the frequency response of the MG under contingencies. © 2022 IEEE.

关键词： Robust control

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Machine Learning for Fault Diagnosis in Active Distribution Networks

Machine Learning for Fault Diagnosis in Active Distribution ...

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IEEE International Conference on System engineering and Technology

作者： Nadir E. Mohamed Md Shafiullah Hamza M. Anwar Electrical Engineering Department King Fahd University of Petroleum & Minerals (KFUPM) Dhahran Saudi Arabia Control & Instrumentation Engineering IRC for Renewable Energy and Power Systems (IRC-REPS) K.A.CARE Energy Research & Innovation Center (ERIC) KFUPM Dhahran Saudi Arabia

The distribution network links the customer to the power supplier in power systems. One fundamental responsibility of the distribution network is to provide consumers with high-quality and reliable electricity. Faults in distribution grids cause severe burdens and introduce financial losses to the customers relying on them. The uncertainty about the location and the type of fault amplifies the issue as it complicates the maintenance process and causes additional losses. This paper used the short-time Fourier transform to extract features from a simulated active distribution network’s measurements. The features extracted were then fed to feedforward neural network models, which we trained for fault detection, classification, and localization. Results demonstrate that the developed models accurately detect and classify the faults in the active distribution network, demonstrating the reliability and effectiveness of the proposed models. Also, the proposed approaches were able to locate the faults in the simulated network accurately. Eventually, suggested models could elegantly handle load variation, renewable energy resources generation, and fault information ambiguity.

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Robust Frequency Regulation for Dual-Area Interconnected Grids Using Hybrid controller: A Comparative Study

Robust Frequency Regulation for Dual-Area Interconnected Gri...

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Smart Technologies for power, Energy and control (STPEC), IEEE International Conference on

作者： Awadh Ba Wazir Abdullah A. Alhussainy Abdulraheem H. Alobaidi Aatif Altaf Anil Kumar Mahendra Kumar Sultan Alghamdi Department of Electrical and Computer Engineering Faculty of Engineering King Abdulaziz University Jeddah Saudi Arabia Center of Research Excellence in Renewable Energy and Power Systems King Abdulaziz University Jeddah Saudi Arabia Instrumentation and Control Engineering Department Dr. B R Ambedkar National Institute of Technology Jalandhar Jalandhar Punjab India

This paper introduces a robust controller designed for load frequency control in a dual-area integrated power grid. Here, the suggested controller is a blend of a fuzzy logic controller with an integral controller. The parameters of the integral controller and frequency bias settings are optimized to enhance the dynamic response of the proposed controller. To attain this, three distinct optimization algorithms are employed, i.e., genetic algorithm, simulated annealing, and pattern search. A new objective function using settling time, settling-max, and settling-min with a suitable weight factor is used to improve the parameters estimation process. A comparative analysis is performed using the proposed approach and classical-I controller under two cases considering several load disturbance scenarios. Furthermore, the suggested hybrid controller is evaluated and compared with similar models in the literature. As expected, the proposed controller exhibits superior performance.

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Small, Modular Radioisotope Thermoelectric power System for Flexible Spacecraft Architectures

Small, Modular Radioisotope Thermoelectric Power System for ...

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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Nemanick, E. Joseph Helvajian, Henry Delgado, Adon Hinkley, David Schmeidler, Martin Chaney, Donald Bux, Sabah Le, Billy Chun-Yip Energy Technology Department The Aerospace Corporation FFRDC El SegundoCA90245 United States Space Materials Laboratory The Aerospace Corporation FFRDC El SegundoCA90245 United States Thermal Control Department The Aerospace Corporation FFRDC El SegundoCA90245 United States Mission Systems Engineering Department The Aerospace Corporation FFRDC El SegundoCA90245 United States Thermal Design and Analysis Department The Aerospace Corporation FFRDC El SegundoCA90245 United States Nuclear Hardness and Survivability Department The Aerospace Corporation FFRDC El SegundoCA90245 United States Power and Sensors Department The Jet Propulsion Laboratory PasadenaCA91011 United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

The Atomic Planar power for Lightweight Exploration (APPLE) is a small scale, modular, isotope-agnostic spacecraft power architecture that leverages the extensive heritage of radioisotope power generation with new high efficiency skutterudite (SKD) thermoelectrics in a robust modular system which can enable a wide range of spacecraft and rover designs. The system is isotope agnostic and uses a small core of radioisotope, either238Pu or241Am oxide mounted on skutterudite thermoelectric legs, insulated in an aerogel insulation and mounted on the vehicle chassis for thermal dissipation. The APPLE architecture opens the design space for spacecraft and mission designs through distributed multiple power units that scales across vehicle sizes, from 10’s of Watts to kilowatt systems, and its integral placement in/on the vehicle allows for efficient heat utilization. Thermal simulations showed that locating the unit on the vehicle surface maintains a temperature range between 0˚C and 30˚C for the vehicle while the hot shoe thermoelectric junction remains at 500˚C, allowing the vehicle chassis to dissipate waste heat without a dedicated radiator. This enables complete utilization of the thermal inventory for power as well as vehicle heating without extensive thermal distribution systems. Utilization of the chassis as the radiator allows for a large radiative surface without adding radiator mass while increasing the efficacy of heat-to-electricity conversion (10-11%). This design uses skutterudite (SKD) thermoelectrics operating at greater than 10% efficiency and meet the 17+ year wear out mission requirements. This work fabricated four leg, 2 junction SKD thermoelectric units and mated them with an isotope simulator for power generation and demonstrated voltage and current generation. Mission designs are presented utilizing APPLE as the power source enabling small lunar experiments that can survive the lunar night, as well as power a Mars helicopter baseline. © 2025, American

关键词： Chassis

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