Papers by Adel Akbarimajd
Optimal control and management of electric vehicles charging in the distribution network
Journal of Power Electronics, Jun 12, 2023
Due to the nonlinear behavior of grid-connected cascaded multilevel inverters (GCCMI), the use of... more Due to the nonlinear behavior of grid-connected cascaded multilevel inverters (GCCMI), the use of nonlinear controllers can guarantee system stability over a wide range of operation. Therefore, state-space modeling is required to design nonlinear controllers. In this manuscript, a comprehensive method is proposed for the general state-space modeling of an n-level GCCMI with LCL coupling. To validate the accuracy of obtained state-space model, an experimental setup of a cascaded multilevel inverter including two H-bridges has been implemented. The outputs of the state-space model are compared with the simulation and experimental results of the GCCMI. This shows that the proposed model is compatible with a real closedloop system. The simulations were performed using EMTDC/PSCAD software. In the following, the designed general model is used to develop a nonlinear controller based on the Lyapunov stability criteria for a multilevel shunt active power filter (SAPF). Results show that the designed controller is stable and robust in a wide range of operating point changes.
A combined auction mechanism for online instant planning in multi-robot transportation problem
Advances in robotics research, Sep 1, 2018
Optimal Lead-lag Controller for Distributed Generation Unit in Island Mode Using Simulated Annealing
Computational Intelligence in Electrical Engineering, Jul 15, 2014
Ca Based Path Planning Method for Mobile Robots Enhanced by Ant Colony Inspired Mechanis
Computational Intelligence in Electrical Engineering, May 15, 2011
In this paper, the driver with antiwindup and fuzzy highperformance and robust PI controller has ... more In this paper, the driver with antiwindup and fuzzy highperformance and robust PI controller has been suggested for Permanent Magnet Synchronous Motor (PMSM). This controller is suggested for the design of the robust driver for three phase PMSM and the cost reduction of its control system. It's useful for the industrial application and automation and ultimately speed control and the improvement of the dynamic behavior of the PMSM. Antiwindup control strategy prevents the increase of the output beyond its saturation point. So, it avoids the saturation. In effect, the suggestion of this new speed control scheme is in line with a goal to realize a better antiwindup scheme. The simulation results are shown for PMSM for two cases of antiwindup control strategy and fuzzy control strategy and with different operation modes. For this purpose, different three phase PMSM output waveforms are presented. These waveforms are presented for fuzzy control strategy in constant torque, constant speed and different reference speeds with focus on speed curve, electromagnetic torque and phase currents.
A Step by Step Design Procedure of PR controller and Capacitor Current Feedback Active Damping for a LCL-Type Grid-tied T-Type Inverter
Distributed power generation systems use power electronics converters as interface for connection... more Distributed power generation systems use power electronics converters as interface for connection to grid. The connection through an LCL filter offers certain advantages, but it brings also the disadvantage of having a resonance frequency. Power electronic converter control is challenging due to filter resonance peak. In this paper a three level ultra-efficient converter called T-Type converter is connected to grid through an LCL filter and its injected current is controlled by PR controller. The resonance peak of the filter is also damped using filter capacitor current feedback. A step by step mathematical design procedure for controller and filter capacitor current feedback coefficient is investigated in details. Simulations are carried out in MATLAB/Simulink environment and results depict suitable performance of the system with designed parameters.
Automatic Generation Control of Multi-Area Power System with Phase Shifter and Energy Storage Using Fuzzy Pre-compensated Controller
Zenodo (CERN European Organization for Nuclear Research), Feb 1, 2016
Object manipulation techniques in robotics can be categorized in two major groups including manip... more Object manipulation techniques in robotics can be categorized in two major groups including manipulation with grasp and manipulation without grasp. The original aim of this paper is to develop an object manipulation method where in addition to being grasp-less, the manipulation task is done in a passive approach. In this method, linear and angular positions of the object are changed and its manipulation path is controlled. The manipulation path is a helix track with constant radius and incline. The method presented in this paper proposes a system which has not the actuator and the active controller. So this system requires a passive mechanical intelligence to convey the object from the status of the source along the specified path to the goal state. This intelligent is created based on utilizing the geometry of the system components. A general set up for the components of the system is considered to satisfy the required conditions. Then after kinematical analysis, detailed dimensions and geometry of the mechanism is obtained. The kinematical results are verified by simulation in ADAMS.
Energy, Sep 1, 2018
This paper presents a model for scheduling an energy hub (EH) which supplies electricity, heat an... more This paper presents a model for scheduling an energy hub (EH) which supplies electricity, heat and cooling demands and manages continuous and on/off controllable appliances. The characteristics of EH components such as energy loss and depreciation cost of electrical, heat and cooling energy storages, as well as the feasible operation region of combined heat and power units are modeled in detail. The proposed formulation is implemented on two summer and winter typical days for various cases to study the impact of energy storage, selling electricity to the grid, smart charging and discharging of electric vehicles and managing controllable appliances. The results show that using EH and managing demands result in considerable benefits for both consumer and electricity grid, and leads to flatter demand curve under time of use demand response program.
Design a High Voltage Gain Converter Wilh two Cascade Converters And Its Controller For Renewable Energy Sources
Given the decline in fossil fuel reserves, the increased environmental pollution caused by them, ... more Given the decline in fossil fuel reserves, the increased environmental pollution caused by them, and the risk of collapse of the yard and ecology of the earth, the use of modern renewable energies will play an important role in the future of global energy. Usually the output voltage of renewable energy sources, such as solar panels and cells between 12 and 70 volts, is usually. In order to connect such systems to the network, this voltage should be brought to the standard voltage level of the network. Initially, the DC voltage is increased sufficiently to convert DC / AC, which is done by boost converter. The function of all of the renewable systems is also affected by the efficiency of these converters, which are the key components of these systems, which reveals the importance of the efficiency of these converters. In this thesis, a variable source such as a renewable energy source is connected by a converter to a DC chip that can connect to the load by a DC to AC converter (or di...
The aim of this paper is using reinforcement learning for designing of robust and adaptive PID an... more The aim of this paper is using reinforcement learning for designing of robust and adaptive PID and SMES controllers to load frequency control in a two area thermal power system. Thus, in first setting of PID and SMES controller parameters formulated as an optimization problem and solved using teaching-learning optimization algorithm. Then the simultaneous performance of designed controllers improved using proposed reinforcement learning based controller. Simple and understandable structure and easy to use are distinguished advantages of q-learning based controllers. In order to evaluate the performance of the proposed controller, computer simulations have been done by using MATLAB software. Simulation results verified that the proposed q-learning based controller exhibits much better performance from the conventional optimization based controllers from viewpoint of time domain performance indices like over shoot, under shoot, ITAE, ITSE, and IAE.
The existence of unreliable renewable energy resources would be required to use energy resources ... more The existence of unreliable renewable energy resources would be required to use energy resources and storage units simultaneously, particularly in applications such as electrical vehicles and stand-alone energy supplying systems. The objective of this paper is to introduce a new topology of multi input converter in hybrid power supply system of photovoltaic, fuel cell and battery for medium power applications. In this converter, the current ripple is eliminated, due to the presence of the coupled inductor. On the other hand, the probability to achieve a high voltage efficiency, to develop a high voltage DC link, will be achieved by using two transformers, which their terminals are in series. Since a combination of the magnetizing and the leakage inductors of these two transformers are used, there will be a zero voltage switching for switches, and also a soft switching for the output diodes, because of the presence of the leakage inductor in the secondary side of transformers. Steady...
Robust Lead-Lag Controller for Distributed Generation in Island Mode
Journal of Iranian Association of Electrical and Electronics Engineers, 2015
Journal of Simulation and Analysis of Novel Technologies in Mechanical Engineering, 2015
Journal of Energy Storage, 2020
Managing the use of electric vehicles (EVs) and power injections from their batteries pose the is... more Managing the use of electric vehicles (EVs) and power injections from their batteries pose the issue of controlling the charge and discharge of EVs as an attractive research field. Charging a large number of EVs' batteries will, if not controlled, hurt the power distribution system. By adopting optimal planning for the use of EVs, their parking stations can role as either load or energy source. In this paper, the effect of charging and discharging scheduling of EVs on load characteristic enhancement is investigated. On the other hand, the behavior of EVs' owners is probabilistic. Therefore, in the first step, the probabilistic model using Monte Carlo is developed for estimation of uncertain variables including: EVs arrival and departure time, the duration of the EVs' presence in parking lots, the battery capacity of each EV. Afterward, the scheduling of EVs' charging and discharging is determined by JAYA algorithm so that the daily load variance is reduced and the network load characteristic becomes smooth. The performance of proposed approach is investigated on the IEEE-69-bus system and simulation results show the advantages of the suggested approach.
Bad Data Injection in Electricity Market of Smart Grids using Game Theory
: Increasing in energy demand and limitations in energy sources have caused that power systems be... more : Increasing in energy demand and limitations in energy sources have caused that power systems become complicated in structure and configuration. In conventional power systems some central generators were employed to supply energy of large group pf customers. However, modern transmission networks, known as intelligent networks, use bidirectional energy and information lines to supply power in different circumstances. In intelligent network, online monitoring is crucial in decision making of control centers where state estimation has an important role in building of instant models in management systems. In control centers, required information for state estimation is collected by measurement instruments. In some cases, measurement instruments installed in the network are subject to cyber attacks where an attacker tries to manipulate measured information. This manipulation is usually in the form of bad data injection. Wrong information causes that the control center get incorrect results from power flow analysis which by itself changes the prices in the real time market and the day-ahead market. The attacker can benefit from these price changes in the market. Hence, the control center has to defend the measurements against the attacker. This competition between the control center, as defender, and the attacker is studied by two approaches namely game theory and Q-learning. In the game theory approach, the problem is modeled as a zero-sum game and is solved by a linear programming method. As a result the best defend strategy is determined. In Q-leaning approach the defender by test and experience learns the actions those provide the best outcome for the defender. The results show that the Q-learning approach results in better outcome for the defender than the game theory approach.
Learning-to-augment incorporated noise-robust deep CNN for detection of COVID-19 in noisy X-ray images
Journal of Computational Science
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Papers by Adel Akbarimajd