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- Power systems operation (2)
- Power systems optimization (2)
- Power systems planning (2)
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- Ac/Dc microgrids (1)
- Algorithms (1)
- Cancer (1)
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- Co-positive linear Lyapunov function (1)
- Congestion management (1)
- Cuckoo search algorithm (CSA) (1)
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- FACTS devices (1)
- Fixed-head short-term model (1)
- Flexible AC transmission systems (FACTS) devices (1)
- Frequency control (1)
- High voltage AC/DC grids (1)
- Hydrothermal system (1)
- Immunotherapy (1)
- Improved droop-based control strategy (1)
- Improved mixed AC/DC power flow (1)
- Issues and challenges (1)
- Krill herd algorithm (KHA) (1)
- Long short-term memory (LSTM) (1)
- Machine learning (1)
- Microgrid (MG) (1)
- Microgrid control systems (1)
Articles 1 - 12 of 12
Full-Text Articles in Engineering
The Role Of Blockchain Technologies In Power Markets, David Bowker, Fazel Mohammadi, Abdulraheem Al Gami, Alex Bakakat, Andres Alonso, Bhawna Kapoor, Davor Bosnjak, Edileu Cardoso, Erik Cuadros, Gowri Rajappan, Greg Thorpe, Hannah Davis, Hannes Agabus, Hero Morales, Jelena Milosavljevic, Juan Duran Hernandez, Julian Betancur, Marcelo De Araujo, Nasser Al-Shahrani, Toshiyuki Sawa, Umit Cali, Victor Francisco, Victor Tan, Vijay Vadlamudi, Vladislav Berezovsky, Yousef Almarwan, Yulia Zhilkina
The Role Of Blockchain Technologies In Power Markets, David Bowker, Fazel Mohammadi, Abdulraheem Al Gami, Alex Bakakat, Andres Alonso, Bhawna Kapoor, Davor Bosnjak, Edileu Cardoso, Erik Cuadros, Gowri Rajappan, Greg Thorpe, Hannah Davis, Hannes Agabus, Hero Morales, Jelena Milosavljevic, Juan Duran Hernandez, Julian Betancur, Marcelo De Araujo, Nasser Al-Shahrani, Toshiyuki Sawa, Umit Cali, Victor Francisco, Victor Tan, Vijay Vadlamudi, Vladislav Berezovsky, Yousef Almarwan, Yulia Zhilkina
Electrical and Computer Engineering Publications
Blockchain technology offers some significant potential benefits for improving electricity markets. This TB reviews the potential applications for blockchain as energy markets transform. The WG also assessed 37 projects which have already implemented blockchain into energy markets to understand the current level of actual implementation and the benefits in the real world.
Short-Term Load Forecasting Of Microgrid Via Hybrid Support Vector Regression And Long Short-Term Memory Algorithms, Arash Moradzadeh, Sahar Zakeri, Maryam Shoaran, Behnam Mohammadi-Ivatloo, Fazel Mohammadi
Short-Term Load Forecasting Of Microgrid Via Hybrid Support Vector Regression And Long Short-Term Memory Algorithms, Arash Moradzadeh, Sahar Zakeri, Maryam Shoaran, Behnam Mohammadi-Ivatloo, Fazel Mohammadi
Electrical and Computer Engineering Publications
© 2020 by the authors. Short-Term Load Forecasting (STLF) is the most appropriate type of forecasting for both electricity consumers and generators. In this paper, STLF in a Microgrid (MG) is performed via the hybrid applications of machine learning. The proposed model is a modified Support Vector Regression (SVR) and Long Short-Term Memory (LSTM) called SVR-LSTM. In order to forecast the load, the proposed method is applied to the data related to a rural MG in Africa. Factors influencing the MG load, such as various household types and commercial entities, are selected as input variables and load profiles as target …
Integration Of High Voltage Ac/Dc Grids Into Modern Power Systems, Fazel Mohammadi
Integration Of High Voltage Ac/Dc Grids Into Modern Power Systems, Fazel Mohammadi
Electrical and Computer Engineering Publications
© 2020 by the author. The Special Issue on "Integration of High Voltage AC/DC Grids into Modern Power Systems" is published. A total of five qualified papers are published in this Special Issue. The topics of the papers are control, protection, operation, planning, and scheduling of high voltage AC/DC grids. Twenty-five researchers have participated in this Special Issue. We hope that this Special Issue is helpful for high voltage applications.
Optimal Power Flow Incorporating Facts Devices And Stochastic Wind Power Generation Using Krill Herd Algorithm, Arsalan Abdollahi, Ali Asghar Ghadimi, Mohammad Reza Miveh, Fazel Mohammadi, Francisco Jurado
Optimal Power Flow Incorporating Facts Devices And Stochastic Wind Power Generation Using Krill Herd Algorithm, Arsalan Abdollahi, Ali Asghar Ghadimi, Mohammad Reza Miveh, Fazel Mohammadi, Francisco Jurado
Electrical and Computer Engineering Publications
© 2020 by the authors. This paper deals with investigating the Optimal Power Flow (OPF) solution of power systems considering Flexible AC Transmission Systems (FACTS) devices and wind power generation under uncertainty. The Krill Herd Algorithm (KHA), as a new meta‐heuristic approach, is employed to cope with the OPF problem of power systems, incorporating FACTS devices and stochastic wind power generation. The wind power uncertainty is included in the optimization problem using Weibull probability density function modeling to determine the optimal values of decision variables. Various objective functions, including minimization of fuel cost, active power losses across transmission lines, emission, …
A Dual Approach For Positive T–S Fuzzy Controller Design And Its Application To Cancer Treatment Under Immunotherapy And Chemotherapy, Elham Ahmadi, Jafar Zarei, Roozbeh Razavi-Far, Mehrdad Saif
A Dual Approach For Positive T–S Fuzzy Controller Design And Its Application To Cancer Treatment Under Immunotherapy And Chemotherapy, Elham Ahmadi, Jafar Zarei, Roozbeh Razavi-Far, Mehrdad Saif
Electrical and Computer Engineering Publications
This study proposes an effective positive control design strategy for cancer treatment by resorting to the combination of immunotherapy and chemotherapy. The treatment objective is to transfer the initial number of tumor cells and immune–competent cells from the malignant region into the region of benign growth where the immune system can inhibit tumor growth. In order to achieve this goal, a new modeling strategy is used that is based on Takagi–Sugeno. A Takagi-Sugeno fuzzy model is derived based on the Stepanova nonlinear model that enables a systematic design of the controller. Then, a positive Parallel Distributed Compensation controller is proposed …
Integration Of Ac/Dc Microgrids Into Power Grids, Fazel Mohammadi
Integration Of Ac/Dc Microgrids Into Power Grids, Fazel Mohammadi
Electrical and Computer Engineering Publications
© 2020 by the authors. The Special Issue on "Integration of AC/DC Microgrids into Power Grids" is published. A total of six qualified papers are published in this Special Issue. The topics of the papers are the Optimal Power Flow (OPF), control, protection, and the operation of hybrid AC/DC microgrids. Nine researchers participated in this Special Issue. We hope that this Special Issue is helpful for sustainable energy applications.
Multi-Objective Optimal Reactive Power Planning Under Load Demand And Wind Power Generation Uncertainties Using Ε-Constraint Method, Amir Hossein Shojaei, Ali Asghar Ghadimi, Mohammad Reza Miveh, Fazel Mohammadi, Francisco Jurado
Multi-Objective Optimal Reactive Power Planning Under Load Demand And Wind Power Generation Uncertainties Using Ε-Constraint Method, Amir Hossein Shojaei, Ali Asghar Ghadimi, Mohammad Reza Miveh, Fazel Mohammadi, Francisco Jurado
Electrical and Computer Engineering Publications
© 2020 by the authors. This paper presents an improved multi-objective probabilistic Reactive Power Planning (RPP) in power systems considering uncertainties of load demand and wind power generation. The proposed method is capable of simultaneously (1) reducing the reactive power investment cost, (2) minimizing the total active power losses, (3) improving the voltage stability, and (4) enhancing the loadability factor. The generators' voltage magnitude, the transformer's tap settings, and the output reactive power of VAR sources are taken into account as the control variables. To solve the probabilistic multi-objective RPP problem, the "-constraint method is used. To test the effectiveness …
Optimal Scheduling Of Large-Scale Wind-Hydro-Thermal Systems With Fixed-Head Short-Term Model, Thang Trung Nguyen, Ly Huu Pham, Fazel Mohammadi, Le Chi Kien
Optimal Scheduling Of Large-Scale Wind-Hydro-Thermal Systems With Fixed-Head Short-Term Model, Thang Trung Nguyen, Ly Huu Pham, Fazel Mohammadi, Le Chi Kien
Electrical and Computer Engineering Publications
© 2020 by the authors. In this paper, a Modified Adaptive Selection Cuckoo Search Algorithm (MASCSA) is proposed for solving the Optimal Scheduling of Wind-Hydro-Thermal (OSWHT) systems problem. The main objective of the problem is to minimize the total fuel cost for generating the electricity of thermal power plants, where energy from hydropower plants and wind turbines is exploited absolutely. The fixed-head short-term model is taken into account, by supposing that the water head is constant during the operation time, while reservoir volume and water balance are constrained over the scheduled time period. The proposed MASCSA is compared to other …
Optimal Placement Of Tcsc For Congestion Management And Power Loss Reduction Using Multi-Objective Genetic Algorithm, Thang Trung Nguyen, Fazel Mohammadi
Optimal Placement Of Tcsc For Congestion Management And Power Loss Reduction Using Multi-Objective Genetic Algorithm, Thang Trung Nguyen, Fazel Mohammadi
Electrical and Computer Engineering Publications
© 2020 by the authors. Electricity demand has been growing due to the increase in the world population and higher energy usage per capita as compared to the past. As a result, various methods have been proposed to increase the efficiency of power systems in terms of mitigating congestion and minimizing power losses. Power grids operating limitations result in congestion that specifies the final capacity of the system, which decreases the conventional power capabilities between coverage areas. Flexible AC Transmission Systems (FACTS) can help to decrease flows in heavily loaded lines and lead to lines loadability improvements and cost reduction. …
An Improved Droop-Based Control Strategy For Mt-Hvdc Systems, Fazel Mohammadi, Gholam Abbas Nazri, Mehrdad Saif
An Improved Droop-Based Control Strategy For Mt-Hvdc Systems, Fazel Mohammadi, Gholam Abbas Nazri, Mehrdad Saif
Electrical and Computer Engineering Publications
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This paper presents an improved droop-based control strategy for the active and reactive power-sharing on the large-scale Multi-Terminal High Voltage Direct Current (MT-HVDC) systems. As droop parameters enforce the stability of the DC grid, and allow the MT-HVDC systems to participate in the AC voltage and frequency regulation of the different AC systems interconnected by the DC grids, a communication-free control method to optimally select the droop parameters, consisting of AC voltage-droop, DC voltage-droop, and frequency-droop parameters, is investigated to balance the power in MT-HVDC systems and minimize AC voltage, DC …
An Improved Mixed Ac/Dc Power Flow Algorithm In Hybrid Ac/Dc Grids With Mt-Hvdc Systems, Fazel Mohammadi, Gholam Abbas Nazri, Mehrdad Saif
An Improved Mixed Ac/Dc Power Flow Algorithm In Hybrid Ac/Dc Grids With Mt-Hvdc Systems, Fazel Mohammadi, Gholam Abbas Nazri, Mehrdad Saif
Electrical and Computer Engineering Publications
© 2019 by the authors. One of the major challenges on large-scale Multi-Terminal High Voltage Direct Current (MT-HVDC) systems is the steady-state interaction of the hybrid AC/DC grids to achieve an accurate Power Flow (PF) solution. In PF control of MT-HVDC systems, different operational constraints, such as the voltage range, voltage operating region, Total Transfer Capability (TTC), transmission reliability margin, converter station power rating, etc. should be considered. Moreover, due to the nonlinear behavior of MT-HVDC systems, any changes (contingencies and/or faults) in the operating conditions lead to a significant change in the stability margin of the entire or several …
A Survey On Signal Processing Based Pathological Voice Detection Techniques, Rumana Islam, Mohammed Tarique, Esam Abdel-Raheem
A Survey On Signal Processing Based Pathological Voice Detection Techniques, Rumana Islam, Mohammed Tarique, Esam Abdel-Raheem
Electrical and Computer Engineering Publications
Voice disability is a barrier to effective communication. Around 1.2% of the World's population is facing some form of voice disability. Surgical procedures namely laryngoscopy, laryngeal electromyography, and stroboscopy are used for voice disability diagnosis. Researchers and practitioners have been working to find alternatives to these surgical procedures. Voice sample based diagnosis is one of them. The major steps followed by these works are (a) to extract voice features from voice samples and (b) to discriminate pathological voices from normal voices by using a classifier algorithm. However, there is no consensus about the voice feature and the classifier algorithm that …