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By increasing the penetration of wind power in the modern power systems, to investigate transient stability is of special importance. This article presents an innovative index based on the concept of the potential energy boundary surface along with kinetic energy, which aims to detect the transient instability of a power system comprising doubly fed induction generator (DFIG)-based wind farms. Accordingly, transient instability detection (TID) is performed without directly calculating the unstable equilibrium point and thus the computational load is decreased. Since the proposed approach requires only the postfault data that can be easily measured by the phasor measurement units, it is suitable for real-time applications. Therefore, the proposed approach can be applied as a general tool to any power system with any change in topology and operating conditions. Moreover, considering that the current-balance form is the preferred industry model for the implementation of transient stability simulation, the network equations in the current-balance form are extracted for grid-connected DFIG and synchronous generators. Different scenarios are simulated in the Western System Coordinating Council 3-machine, 9-bus system, and the 10-generator New England system. To validate the new index for TID, simulation results are compared with the transient stability index and out-of-step distance relay. The obtained results validate the correctness and effectiveness of the presented new index.
Hamid Reza Shabani; Mohsen Kalantar; Amin Hajizadeh. Real-Time Transient Instability Detection in the Power System With High DFIG-Wind Turbine Penetration via Transient Energy. IEEE Systems Journal 2021, PP, 1 -12.
AMA StyleHamid Reza Shabani, Mohsen Kalantar, Amin Hajizadeh. Real-Time Transient Instability Detection in the Power System With High DFIG-Wind Turbine Penetration via Transient Energy. IEEE Systems Journal. 2021; PP (99):1-12.
Chicago/Turabian StyleHamid Reza Shabani; Mohsen Kalantar; Amin Hajizadeh. 2021. "Real-Time Transient Instability Detection in the Power System With High DFIG-Wind Turbine Penetration via Transient Energy." IEEE Systems Journal PP, no. 99: 1-12.
Purpose In this paper, a novel Lyapunov–Krasovskii stable fuzzy proportional-integral-derivative (PID) (FPID) controller is introduced for load frequency control of a time-delayed micro-grid (MG) system that benefits from a fuel cell unit, wind turbine generator and plug-in electric vehicles. Design/methodology/approach Using the Lyapunov–Krasovskii theorem, the adaptation laws for the consequent parameters and output scaling factors of the FPID controller are developed in such a way that an upper limit (the maximum permissible value) for time delay is introduced for the stability of the closed-loop MG system. In this way, there is a stable FPID controller, the adaptive parameters of which are bounded. In the obtained adaptation laws and the way of stability analyses, there is no need to approximate the nonlinear model of the controlled system, which makes the implementation process of the proposed adaptive FPID controller much simpler. Findings It has been shown that for a different amount of time delay and intermittent resources/loads, the proposed adaptive FPID controller is able to enforce the frequency deviations to zero with better performance and a less amount of energy. In the proposed FPID controller, the increase in the amount of time delay leads to a small increase in the amount of overshoot/undershoot and settling time values, which indicate that the proposed controller is robust to the time delay changes. Originality/value Although the designed FPID controllers in the literature are very efficient in being applied to the uncertain and nonlinear systems, they suffer from stability problems. In this paper, the stability of the FPID controller has been examined in applying to the frequency control of a nonlinear input-delayed MG system. Based on the Lyapunov–Krasovskii theorem and using rigorous mathematical analyses, the stability conditions and the adaptation laws for the parameters of the FPID controller have been obtained in the presence of input delay and nonlinearities of the MG system.
Kamel Sabahi; Amin Hajizadeh; Mehdi Tavan. Lyapunov–Krasovskii based FPID controller for LFC in a time-delayed micro-grid system with fuel cell power units. COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 2021, 40, 488 -501.
AMA StyleKamel Sabahi, Amin Hajizadeh, Mehdi Tavan. Lyapunov–Krasovskii based FPID controller for LFC in a time-delayed micro-grid system with fuel cell power units. COMPEL - The international journal for computation and mathematics in electrical and electronic engineering. 2021; 40 (3):488-501.
Chicago/Turabian StyleKamel Sabahi; Amin Hajizadeh; Mehdi Tavan. 2021. "Lyapunov–Krasovskii based FPID controller for LFC in a time-delayed micro-grid system with fuel cell power units." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 40, no. 3: 488-501.
Inter-Turn Short Circuit (ITSC) fault in stator winding is a common fault in Doubly-Fed Induction Generator (DFIG)-based Wind Turbines (WTs). Improper measures in the ITSC fault affect the safety of the faulty WT and the power output of the Wind Farm (WF). This paper combines derating WTs and the power optimization of the WF to diminish the fault effect. At the turbine level, switching the derating strategy and the ITSC Fault Ride-Through (FRT) strategy is adopted to ensure that WTs safely operate under fault. At the farm level, the Particle Swarm Optimization (PSO)-based active power dispatch strategy is used to address proper power references in all of the WTs. The simulation results demonstrate the effectiveness of the proposed method. Switching the derating strategy can increase the power limit of the faulty WT, and the ITSC FRT strategy can ensure that the WT operates without excessive faulty current. The PSO-based power optimization can improve the power of the WF to compensate for the power loss caused by the faulty WT. With the proposed method, the competitiveness and the operational capacity of offshore WFs can be upgraded.
Kuichao Ma; Mohsen Soltani; Amin Hajizadeh; Jiangsheng Zhu; Zhe Chen. Wind Farm Power Optimization and Fault Ride-Through under Inter-Turn Short-Circuit Fault. Energies 2021, 14, 3072 .
AMA StyleKuichao Ma, Mohsen Soltani, Amin Hajizadeh, Jiangsheng Zhu, Zhe Chen. Wind Farm Power Optimization and Fault Ride-Through under Inter-Turn Short-Circuit Fault. Energies. 2021; 14 (11):3072.
Chicago/Turabian StyleKuichao Ma; Mohsen Soltani; Amin Hajizadeh; Jiangsheng Zhu; Zhe Chen. 2021. "Wind Farm Power Optimization and Fault Ride-Through under Inter-Turn Short-Circuit Fault." Energies 14, no. 11: 3072.
In spite of significant opportunities created by wind energy, the high uncertainty of wind farms is problematic for their operators, making their participation in the energy market quite challenging. The combination of Air-based High-Temperature Heat and Power Storage (HTHPS), which is known as a novel energy storage technology, with a wind farm as an integrated system can make new opportunities for a Generation Company (GenCo) to overcome the wind generation challenges. This paper proposes a novel Stochastic Multi-objective Optimization (SMOO) problem to determine the optimal charging and discharging scheduling and the best bidding strategy in the day-ahead energy market for an integrated energy system including a wind farm and HTHPS unit. The proposed model presents a comprehensive and coherent approach from historical data analysis as input to final decision making as output, that it can maximize Genco’s profit by avoiding incorrect commitment and energy offering. In the phase of uncertainty handling, via a scenario-based approach, the wind uncertainty is modeled by Monte-Carlo Simulation (MCS) method based on wind speed forecast errors. In the optimization phase, the Pareto optimal set is obtained by Non-dominated Sorting Genetic Algorithm-II (NSGA-II), and then, a new method is also provided to choose the best possible solution based on the entropy Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) method and the minimax regret criterion. The historical data related to wind generation and energy prices provided by the Danish energy market in West Denmark is used in simulation analysis, and the results demonstrate pleasantly the effectiveness of the proposed model.
Mohammad Ali Lasemi; Ahmad Arabkoohsar; Amin Hajizadeh. Stochastic multi-objective scheduling of a wind farm integrated with high-temperature heat and power storage in energy market. International Journal of Electrical Power & Energy Systems 2021, 132, 107194 .
AMA StyleMohammad Ali Lasemi, Ahmad Arabkoohsar, Amin Hajizadeh. Stochastic multi-objective scheduling of a wind farm integrated with high-temperature heat and power storage in energy market. International Journal of Electrical Power & Energy Systems. 2021; 132 ():107194.
Chicago/Turabian StyleMohammad Ali Lasemi; Ahmad Arabkoohsar; Amin Hajizadeh. 2021. "Stochastic multi-objective scheduling of a wind farm integrated with high-temperature heat and power storage in energy market." International Journal of Electrical Power & Energy Systems 132, no. : 107194.
This paper addresses the designing of an adaptive type-2 fuzzy PID (T2FPID) controller for load frequency control (LFC) of an interconnected nonlinear power system considering input time-delays. The input delay, which can commonly be raised by failure in the communication links and actuator operating lag may lead to control system instability. In the proposed adaptive T2FPID controller, output scaling factors have been chosen judiciously (according to a stable tuning algorithm) and thus improves the stability and performance of the controlled system. To perform this, the stability of the proposed method has been examined using the Lyapunov–Krasovskii (L-K) theorem, and the adaptation laws of the output scaling factors are derived. The proposed adaptation laws for the output scaling factors are simple and need a little knowledge about the structure of the power system. To demonstrate the efficiency of the proposed adaptive T2FPID controller, a comparison to the non-adaptive T2FPID and type-1 FPID (T1FPID) controllers is given for a two-area interconnected nonlinear power system with input time-delays. The obtained simulation results prove that the performance of the proposed T2FPID controller is superior compared to the other controllers in the presence of time-varying input delays, nonlinearities, and uncertainties.
Kamel Sabahi; Amin Hajizadeh; Mehdi Tavan; Ali Feliachi. Adaptive Type-2 Fuzzy PID LFC for an Interconnected Power System Considering Input Time-Delay. International Journal of Fuzzy Systems 2021, 23, 1042 -1054.
AMA StyleKamel Sabahi, Amin Hajizadeh, Mehdi Tavan, Ali Feliachi. Adaptive Type-2 Fuzzy PID LFC for an Interconnected Power System Considering Input Time-Delay. International Journal of Fuzzy Systems. 2021; 23 (4):1042-1054.
Chicago/Turabian StyleKamel Sabahi; Amin Hajizadeh; Mehdi Tavan; Ali Feliachi. 2021. "Adaptive Type-2 Fuzzy PID LFC for an Interconnected Power System Considering Input Time-Delay." International Journal of Fuzzy Systems 23, no. 4: 1042-1054.
In the power systems where a significant part of the total generated power is supplied by wind energy, the transient stability of the grid should be analyzed properly. This paper discusses the influence of the closed-loop control system of doubly-fed induction generator (DFIG) on transient stability. In this process, the stator and rotor electrical dynamics are considered during tuning the controllers. Accordingly, the DFIG with power electronics converters in the closed-loop control mode with generic PI controllers is considered. For this study, the dynamic model of the rotor side converter with more detail of the control system is used, because it has a direct effect on the dynamics of the generator speed/torque and hence on the system stability. Also, to tune the control parameters of the power electronics converters, the Gershgorin theorem is applied. Once an appropriate set of control parameters is obtained, the DFIG model is simplified and time-domain simulation is performed. For validation of the influence of modeling adequacy on closed-loop controlled DFIG, transient stability study under the different operating conditions is investigated. According to the simulation results, it is observed that for the closed-loop DFIG, neglecting the stator transients does not remove the high-frequency mode. Thus, the high-frequency mode is due to the rotor electrical dynamics. Additionally, the power system stability studies for closed-loop DFIG are not model order dependent. Accordingly, for the closed-loop controlled DFIG in the transient stability studies where fast electrical transients are not of interest, a simplified model, whereby both stator and rotor dynamics are neglected, is adequate.
Hamid Reza Shabani; Mohsen Kalantar; Amin Hajizadeh. Investigation of the closed-loop control system on the DFIG dynamic models in transient stability studies. International Journal of Electrical Power & Energy Systems 2021, 131, 107084 .
AMA StyleHamid Reza Shabani, Mohsen Kalantar, Amin Hajizadeh. Investigation of the closed-loop control system on the DFIG dynamic models in transient stability studies. International Journal of Electrical Power & Energy Systems. 2021; 131 ():107084.
Chicago/Turabian StyleHamid Reza Shabani; Mohsen Kalantar; Amin Hajizadeh. 2021. "Investigation of the closed-loop control system on the DFIG dynamic models in transient stability studies." International Journal of Electrical Power & Energy Systems 131, no. : 107084.
A control approach for three‐phase four‐leg LC‐filtered voltage source inverters (VSIs) is proposed for an uninterruptible power supply (UPS) application. A filter inductor in the fourth (neutral) leg of the VSI is considered to enhance the output voltage quality when feeding different types of loads in such a system. The proposed approach is based on the modelling of UPS VSI system in the dq0 synchronous frame. First, the switching functions of the inverter under study are extracted from the achieved system model. Afterward, the control approach is developed by introducing a virtual time constant, which simultaneously affects the system's damping ratio, and a virtual undamped natural frequency in the switching functions. It offers flexibility for improving the system dynamic and steady‐state responses as desired. While the final time constant decreases the transient response time and overshoot, the resulting undamped natural frequency leads to alleviation of steady‐state error in the output voltage. The performance of the proposed control approach is evaluated via SIMULINK‐based and real‐time simulation results.
S. Sajjad Seyedalipour; Mahdi Shahparasti; Amin Hajizadeh; Mehdi Savaghebi. Model‐based control of four‐leg inverter for UPS applications considering the effect of neutral line inductor. IET Power Electronics 2021, 1 .
AMA StyleS. Sajjad Seyedalipour, Mahdi Shahparasti, Amin Hajizadeh, Mehdi Savaghebi. Model‐based control of four‐leg inverter for UPS applications considering the effect of neutral line inductor. IET Power Electronics. 2021; ():1.
Chicago/Turabian StyleS. Sajjad Seyedalipour; Mahdi Shahparasti; Amin Hajizadeh; Mehdi Savaghebi. 2021. "Model‐based control of four‐leg inverter for UPS applications considering the effect of neutral line inductor." IET Power Electronics , no. : 1.
An AC microgrid (MG) system links the distributed generation (DG) based on renewable energy resources and local electrical loads in modern power systems. Intermittent characteristics of wind and solar resources influence not only the availability of energy but also the stability of the entire AC microgrid. This matter as well makes a challenge on the load frequency control (LFC) problem in an islanded MG system, and consequently, the fixed structure controllers are unable to provide a proper performance over a wide range of operating conditions. Therefore, it is required to design a dedicated controller for LFC to ensure the capability of maintaining a generation–load balance by managing the intermittent resources. In this paper, an adaptive type-2 fuzzy PID (T2FPID) controller is suggested for LFC in an AC MG system to enforce the frequency deviation to zero by supplying the load demands. The designed T2FPID controller is a nonlinear controller that can handle the system nonlinearities and uncertainties in the MG system in a better way. Using a Lyapunov function, the stability of the system is evaluated and parameter tuning laws for the T2FPID controller are derived using this function. It has been illustrated that the adaptive parameters are bounded and the frequency deviation reaches to zero properly. The proposed adaptive T2FPID controller has been applied for LFC of a MG system, and the simulation results have been compared with those obtained by type-1 fuzzy (T1F) PI and nonadaptive fuzzy PID controllers, which is the latest research in the problem in hand. The simulation results indicate the efficiency of the proposed adaptive controllers in dealing with intermittent resources and changing in the power system parameters.
Kamel Sabahi; Mehdi Tavan; Amin Hajizadeh. Adaptive type-2 fuzzy PID controller for LFC in AC microgrid. Soft Computing 2021, 25, 7423 -7434.
AMA StyleKamel Sabahi, Mehdi Tavan, Amin Hajizadeh. Adaptive type-2 fuzzy PID controller for LFC in AC microgrid. Soft Computing. 2021; 25 (11):7423-7434.
Chicago/Turabian StyleKamel Sabahi; Mehdi Tavan; Amin Hajizadeh. 2021. "Adaptive type-2 fuzzy PID controller for LFC in AC microgrid." Soft Computing 25, no. 11: 7423-7434.
Cascaded connection of power converters is a dominant connection form in DC microgrids. In such systems, despite the possible instability caused by the impedance interactions between the individually designed converters, tightly regulated load converters acting as constant power loads (CPLs) tend to destabilize the system owing to their negative resistance characteristics. Hence, this paper proposes a new virtual series RC damper in parallel with the source-side converter's capacitor without compromising the load's dynamic performance. Using this design-oriented active damping method, which utilizes a simple control structure with a more straightforward tuning of the control parameter, the stability and performance of the system are guaranteed. The feasibility and robustness of the suggested active stabilization idea against unanticipated variations in input voltage amplitude, and CPL power rating (load changes) as well as step changes in output voltage reference, are also authenticated. The control and operation principles, as well as the circuit physical meaning realized by the presented technique for three cascaded systems comprising the basic DC/DC converters feeding CPLs, are theoretically analyzed. Simulation and experimental results are provided to validate the effectiveness of the proposed active stabilizer.
Omid Lorzadeh; Iman Lorzadeh; Mohsen Nourbakhsh Soltani; Amin Hajizadeh. Source-Side Virtual RC Damper-Based Stabilization Technique for Cascaded Systems in DC Microgrids. IEEE Transactions on Energy Conversion 2021, 36, 1883 -1895.
AMA StyleOmid Lorzadeh, Iman Lorzadeh, Mohsen Nourbakhsh Soltani, Amin Hajizadeh. Source-Side Virtual RC Damper-Based Stabilization Technique for Cascaded Systems in DC Microgrids. IEEE Transactions on Energy Conversion. 2021; 36 (3):1883-1895.
Chicago/Turabian StyleOmid Lorzadeh; Iman Lorzadeh; Mohsen Nourbakhsh Soltani; Amin Hajizadeh. 2021. "Source-Side Virtual RC Damper-Based Stabilization Technique for Cascaded Systems in DC Microgrids." IEEE Transactions on Energy Conversion 36, no. 3: 1883-1895.
Mehdi Tavan; Kamel Sabahi; Amin Hajizadeh; Mohsen N. Soltani; Kasper Jessen. Overcoming the Detectability Obstacle in Adaptive Output Feedback Control of DC-DC Boost Converter With Unknown Load. IEEE Transactions on Control Systems Technology 2020, 1 -9.
AMA StyleMehdi Tavan, Kamel Sabahi, Amin Hajizadeh, Mohsen N. Soltani, Kasper Jessen. Overcoming the Detectability Obstacle in Adaptive Output Feedback Control of DC-DC Boost Converter With Unknown Load. IEEE Transactions on Control Systems Technology. 2020; ():1-9.
Chicago/Turabian StyleMehdi Tavan; Kamel Sabahi; Amin Hajizadeh; Mohsen N. Soltani; Kasper Jessen. 2020. "Overcoming the Detectability Obstacle in Adaptive Output Feedback Control of DC-DC Boost Converter With Unknown Load." IEEE Transactions on Control Systems Technology , no. : 1-9.
A new local current-based fast high impedance fault (HIF) detection scheme for DC microgrid clusters using mathematical morphology (MM) is proposed in this paper. The proposed strategy consists of two MM based parts. The first part is MM erosion filtering to extract the current signals and its components to extract the differential feature vector. The second part is MM regional maxima, for defining a determinative value to detect faults in a line segment by the lowest possible time. This scheme also uses local measured values to eliminate the need for communication channels, which provide a low cost, reliable, and fast fault detection method for DC microgrid clusters. Moreover, to provide an accurate HIF detection method, the accurate HIF model in DC systems is presented and used in the proposed method. For demonstrating the efficiency, authenticity, and compatibility of the proposed method, digital time-domain simulations are carried out in MATLAB/Simulink environment under different scenarios such as overload, noise, low and HIFs to distinguish between overloads and HIFs, and the results are compared with several reported algorithms. The obtained simulation results are verified by experimental tests, which validate the proposed strategy's accuracy and speed under different conditions.
Navid Bayati; Hamid Reza Baghaee; Amin Hajizadeh; Mohsen Soltani; Zhengyu Lin. Mathematical morphology-based local fault detection in DC Microgrid clusters. Electric Power Systems Research 2020, 192, 106981 .
AMA StyleNavid Bayati, Hamid Reza Baghaee, Amin Hajizadeh, Mohsen Soltani, Zhengyu Lin. Mathematical morphology-based local fault detection in DC Microgrid clusters. Electric Power Systems Research. 2020; 192 ():106981.
Chicago/Turabian StyleNavid Bayati; Hamid Reza Baghaee; Amin Hajizadeh; Mohsen Soltani; Zhengyu Lin. 2020. "Mathematical morphology-based local fault detection in DC Microgrid clusters." Electric Power Systems Research 192, no. : 106981.
Energy and social welfare management of smart buildings have been influenced by cooling systems. Although the combination of cooling systems in the smart grid has stimulated serious discussions over the last decade, its execution and control with more penetration of renewable energy have not been directly tackled. Hence, the present paper is designed to explore the suitability of implementing a novel controller for a cooling system in smart grid settings and high shares of renewable energies. The controller operates from a local control entity by responding to a set of inside nominated points and outside signals, such as access to renewable energy sources and customer welfare. Not only it reduces the purchasing power from the distribution grid with the help of optimization processes, but also minimizes the overall cost and size of the microgrid. Managing the cooling system simultaneously increases the reliability of the microgrid. As a result, the smart cooling system and renewable energy operate in unity, thus providing separate and mutual benefits for the whole system. The results presented in this study support that the proposed cooling system controller is capable of planning a microgrid system.
Seyed Mehdi Hakimi; Amin Hajizadeh; Miadreza Shafie-Khah; João P.S. Catalão. Demand Response and Flexible Management to Improve Microgrids Energy Efficiency with a High Share of Renewable Resources. Sustainable Energy Technologies and Assessments 2020, 42, 100848 .
AMA StyleSeyed Mehdi Hakimi, Amin Hajizadeh, Miadreza Shafie-Khah, João P.S. Catalão. Demand Response and Flexible Management to Improve Microgrids Energy Efficiency with a High Share of Renewable Resources. Sustainable Energy Technologies and Assessments. 2020; 42 ():100848.
Chicago/Turabian StyleSeyed Mehdi Hakimi; Amin Hajizadeh; Miadreza Shafie-Khah; João P.S. Catalão. 2020. "Demand Response and Flexible Management to Improve Microgrids Energy Efficiency with a High Share of Renewable Resources." Sustainable Energy Technologies and Assessments 42, no. : 100848.
The objective of this paper is to increase the reliability of DC-DC converters operation, used in DC Microgrids (MG). This paper will determine the design requirements for a Sensor Fault Diagnosis (SFD) strategy for a DC-DC converter intended for DC MG, in order to allow continuous operation during erroneous sensor measurements. The SFD scheme is based on residuals generated by a generalized observer scheme. The observer gains is based on adaptive high-gain observer theory. The generated residuals are compared with thresholds, to detect sensor faults. The SFD scheme for the Line Regulating Converter (LRC) side is validated through simulations on a prototype DC MG system where the sensors are subjected to three types of sensor faults. In this paper, the prototype DC MG system will consist of a battery which is connected to the DC bus through a bidirectional buck/boost converter. A buck converter is used as LRC connected to the DC bus.
Kasper Jessen; Mohsen Soltani; Amin Hajizadeh. Sensor Fault Detection for Line Regulating Converters supplying Constant Power Loads in DC Microgrids. 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems (PEDG) 2020, 99 -103.
AMA StyleKasper Jessen, Mohsen Soltani, Amin Hajizadeh. Sensor Fault Detection for Line Regulating Converters supplying Constant Power Loads in DC Microgrids. 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems (PEDG). 2020; ():99-103.
Chicago/Turabian StyleKasper Jessen; Mohsen Soltani; Amin Hajizadeh. 2020. "Sensor Fault Detection for Line Regulating Converters supplying Constant Power Loads in DC Microgrids." 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems (PEDG) , no. : 99-103.
Today, synchronous generators are broadly employed in the industry. The thyristor rectifier in the static excitation system of synchronous generators is responsible for supplying the DC voltage of the excitation winding. In these rectifiers, a high-frequency component is generated at the output of the DC voltage, during turning on and off of the thyristor. These high-frequency components charge the generator’s parasitic capacitors. The voltage induced in these capacitors induces the voltage in the synchronous generator shaft. In this paper, the induced voltage analysis in the generator shaft is performed. Then, modeling, simulation, and experimental laboratory results of pulse width modulation are performed in the static generator excitation system. The induced voltage of the generator shaft is examined by applying this rectifier and it is compared and analyzed with the results of the thyristor rectifier. The hiring of a pulse width modulation rectifier has had a great impact on reducing the induced shaft voltage.
Mohamad Rostami Engasi; Mahmoud Samiei Moghaddam; Amin Hajizadeh. Reduction of the Induced Voltage in the Synchronous Generator Shaft Using Active AC / DC Converter. IEEE Access 2020, 8, 172318 -172328.
AMA StyleMohamad Rostami Engasi, Mahmoud Samiei Moghaddam, Amin Hajizadeh. Reduction of the Induced Voltage in the Synchronous Generator Shaft Using Active AC / DC Converter. IEEE Access. 2020; 8 (99):172318-172328.
Chicago/Turabian StyleMohamad Rostami Engasi; Mahmoud Samiei Moghaddam; Amin Hajizadeh. 2020. "Reduction of the Induced Voltage in the Synchronous Generator Shaft Using Active AC / DC Converter." IEEE Access 8, no. 99: 172318-172328.
There are various studies related to the advantages of implementing home energy management system (HEMS) for residential buildings to minimize the cost of energy consumption and improve user’s comfort level. However, there is still a lack of comprehensive study to evaluate benefits of utilizing HEMS technologies in various residential buildings with different insulation quality (highly or poorly insulated buildings, which can be determined by energy labels). Therefore, in this paper, a concise yet comprehensive comparative analysis is conducted to investigate the operating profits of using HEMS technologies in residential buildings with different energy labels. Moreover, this comparative analysis is performed with two different heat emission systems: radiator only system and a combination of floor–radiator system. The HEMS performance results are presented and compared for both the heating systems in terms of minimizing the cost of energy and the user’s comfort. Also, the results for each building are compared with a baseline case (without HEMS technology) for both heating systems to prove the HEMS performance effectiveness. The simulation results demonstrate that the HEMS operating profits increase as the building insulation quality rises. For example, the HEMS can minimize the cost of energy by 41% in a building with label “A” (highly insulated building), while in a building with label “G”, the energy cost minimization is 26% under the same conditions. Finally, it is proved that the HEMS is more effective with floor-radiator combination heat emission system rather than the radiator only system.
Mojtaba Yousefi; Amin Hajizadeh; Mohsen N. Soltani; Branislav Hredzak; Nasrin Kianpoor. Profit assessment of home energy management system for buildings with A-G energy labels. Applied Energy 2020, 277, 115618 .
AMA StyleMojtaba Yousefi, Amin Hajizadeh, Mohsen N. Soltani, Branislav Hredzak, Nasrin Kianpoor. Profit assessment of home energy management system for buildings with A-G energy labels. Applied Energy. 2020; 277 ():115618.
Chicago/Turabian StyleMojtaba Yousefi; Amin Hajizadeh; Mohsen N. Soltani; Branislav Hredzak; Nasrin Kianpoor. 2020. "Profit assessment of home energy management system for buildings with A-G energy labels." Applied Energy 277, no. : 115618.
The high penetration of renewable energy resources (RERs) increases the fault current level of direct current (DC) microgrids and causes bidirectional flow for fault current. Therefore, it may cause a miscoordination between fuses or other protection devices. The traditional coordination methods are based on shifting the operation curve of protection devices below the characteristic curve of the fuses during temporary faults to save fuses. However, in case of low variations of the system topology and low impedance faults, these methods can be used to save fuses. Also, in the case of high penetration of RERs, due to the variations of the short circuit level, the traditional methods are not effective. On the other hand, due to the lack of standards and proper protection methods in the DC microgrids, presenting a recloser switch – fuse coordination scheme for DC microgrids is essential. To address these issues, this paper proposes a fuse saving method by finding the appropriate setting of fuses and the recloser switch, which is effective for DC microgrids with various types and penetration levels of RERs. The proposed protection method is localized, and without communication links, it is applicable for both digital and conventional protection devices installed in the DC microgrids. The proposed scheme formulates the fuse-recloser switch coordination challenge as a curve-fitting problem and solves this problem to obtain the settings of the digital recloser switch and fuse. The proposed strategy provides a robust setting for fuse and digital recloser switch by considering different topologies of the DC microgrids. The proposed method is applied to a DC microgrid in different scenarios. The effectiveness and robustness of the proposed method are illustrated by digital time-domain simulation studies in the MATLAB/Simulink software environment and comparisons with previously-reported protection strategies.
Navid Bayati; Hamid Reza Baghaee; Amin Hajizadeh; Mohsen Soltani. A Fuse Saving Scheme for DC Microgrids With High Penetration of Renewable Energy Resources. IEEE Access 2020, 8, 137407 -137417.
AMA StyleNavid Bayati, Hamid Reza Baghaee, Amin Hajizadeh, Mohsen Soltani. A Fuse Saving Scheme for DC Microgrids With High Penetration of Renewable Energy Resources. IEEE Access. 2020; 8 (99):137407-137417.
Chicago/Turabian StyleNavid Bayati; Hamid Reza Baghaee; Amin Hajizadeh; Mohsen Soltani. 2020. "A Fuse Saving Scheme for DC Microgrids With High Penetration of Renewable Energy Resources." IEEE Access 8, no. 99: 137407-137417.
This paper basically concentrates on providing some significant steps for congestion management of the power systems based on an interval-based robust chance constrained transmission switching (IBRCC-TS) approach for decreasing the congestion of the system while increasing the robustness of the system against uncertainties of the wind turbines. However, the utilization of TS approach in the power system is a severe challenge, since there is no limitation over the switching rate during a certain timespan in the network as well as the power switches' failure uncertainty. Besides, the frequent switching by the TS method decreases the switch maintenance and puts the network reliability at risk. To overcome this problem, the reliability of the circuit breakers (CBs) is considered in the studied model aiming to determine the optimal number of the switching of the CBs. In addition, due to the nonlinear relation of CBs' reliability, a linearization technique is performed to linearize the CBs' reliability relation. Another step which is pursued in this paper is the utilization of energy storage system (ESS) to increase the reliability and decrease the congestion of the system. The effectiveness of the algorithm is compared with some of the well-known meta-heuristic algorithms and the proposed model is implemented on the IEEE 6-bus and 24-bus test systems. The obtained results proved the authenticity and validity of the work.
Aliasghar Baziar; Mohammad Reza Akbarizadeh; Amin Hajizadeh; Mousa Marzband; Rui Bo. A Robust Integrated Approach for Optimal Management of Power Networks Encompassing Wind Power Plants. IEEE Transactions on Industry Applications 2020, 1 -1.
AMA StyleAliasghar Baziar, Mohammad Reza Akbarizadeh, Amin Hajizadeh, Mousa Marzband, Rui Bo. A Robust Integrated Approach for Optimal Management of Power Networks Encompassing Wind Power Plants. IEEE Transactions on Industry Applications. 2020; (99):1-1.
Chicago/Turabian StyleAliasghar Baziar; Mohammad Reza Akbarizadeh; Amin Hajizadeh; Mousa Marzband; Rui Bo. 2020. "A Robust Integrated Approach for Optimal Management of Power Networks Encompassing Wind Power Plants." IEEE Transactions on Industry Applications , no. 99: 1-1.
Nowadays, to achieve sustainability and reliability in the electrical energy production sector, the utilization of flexible technologies, such as the power plants with multiple fuel options, and proper management of hydropower resources are substantial. In this paper, integrated scheduling for fuel dispatching and the generation planning of the power system comprising multi-fuel-fired thermal power plants and hydro units is presented considering a competitive environment of the fuel market. The main focus of this study is on the supply management of the primary energy sources including storable fuel and water resources for the generation of electrical power. The proposed model is given as a multi-objective optimization problem with different objective functions such as fuel consumption cost, fuel transportation cost, penalty cost of hydropower station disposable water, and valve point effect losses. The fuelling network limitations, including natural gas network as well as liquid fuel dispatch network constraints, and power system limitations, including power transmission and power generation constraints, are considered in the proposed model with the aim of achieving appropriate planning for simultaneous fuel dispatching and power generation scheduling. The problem is solved by the augmented e-constraint method and then an analytical hierarchy process technique is employed to select the best possible solution. Finally, the proposed algorithm is performed on the two test systems including the modified IEEE 30-bus system and IEEE 118-bus system integrated with a gas network and a fuelling network for liquid fuel. The obtained results demonstrate the effectiveness and benefits of the proposed scheme.
Mohammad Ali Lasemi; Mohsen Assili; Amin Hajizadeh. Multi-Objective Hydrothermal Generation Scheduling and Fuel Dispatch Management considering Liquid Fuel Dispatch Network Modeling. Electric Power Systems Research 2020, 187, 106436 .
AMA StyleMohammad Ali Lasemi, Mohsen Assili, Amin Hajizadeh. Multi-Objective Hydrothermal Generation Scheduling and Fuel Dispatch Management considering Liquid Fuel Dispatch Network Modeling. Electric Power Systems Research. 2020; 187 ():106436.
Chicago/Turabian StyleMohammad Ali Lasemi; Mohsen Assili; Amin Hajizadeh. 2020. "Multi-Objective Hydrothermal Generation Scheduling and Fuel Dispatch Management considering Liquid Fuel Dispatch Network Modeling." Electric Power Systems Research 187, no. : 106436.
This article proposes a localized protection scheme for dc microgrids with radial configuration under the impact of constant power loads (CPLs) to determine the location of faults accurately. The proposed fault location scheme is primarily designed for fault location of CPLs in dc microgrids. First, a local protection relay for CPL is designed based on the transient behavior of the current and voltage in the main distribution line. Then, the estimation of the fault resistance is formulated based on the power sharing in the system to improve the accuracy of the protection system. To realize a robust protection scheme considering the variation of fault resistance, a fault resistance estimation procedure is employed to design a system that locates both low- and high-impedance faults. Finally, the effectiveness of the proposed strategy is evaluated based on offline digital time-domain simulations in Digsilent PowerFactory software environment and experimentally verified by implementing on a laboratory scale hardware setup. The obtained simulation and experimental test results, and comparison with other methods prove that the proposed scheme is immune against these disturbances and can efficiently and reliably estimate the location and resistance of faults with high accuracy and acceptable error margin.
Navid Bayati; Hamid Reza Baghaee; Amin Hajizadeh; Mohsen Soltani. Localized Protection of Radial DC Microgrids With High Penetration of Constant Power Loads. IEEE Systems Journal 2020, 15, 4145 -4156.
AMA StyleNavid Bayati, Hamid Reza Baghaee, Amin Hajizadeh, Mohsen Soltani. Localized Protection of Radial DC Microgrids With High Penetration of Constant Power Loads. IEEE Systems Journal. 2020; 15 (3):4145-4156.
Chicago/Turabian StyleNavid Bayati; Hamid Reza Baghaee; Amin Hajizadeh; Mohsen Soltani. 2020. "Localized Protection of Radial DC Microgrids With High Penetration of Constant Power Loads." IEEE Systems Journal 15, no. 3: 4145-4156.
As the penetration of renewable energy resources has been increased in the distribution network, the intermittent and fluctuation of the system parameters have increased highly. Energy Storage Systems (ESSs) is one of the best candidates to overcome this intermittency, especially in the Photo-voltaic connected (PV-connected) distribution network. In this paper, optimal planning of ESSs in a PV-connected distribution network regarding PV and load uncertainties is studied. Operation conditions are considered based on a time-series framework. The Fuzzy Clustering Method (FCM) is adopted to create sample days. Moreover, since the optimization problem is a mixed-integer nonlinear programming problem, Particle Swarm optimization (PSO) is chosen as a powerful nonlinear optimization solver. A modified 33-bus is employed to verify the proposed method. The PSO determines the optimal size and sites of ESSs in the distribution network which is confirmed in the simulation results. Moreover, the effects of integration ESSs with PVs to support load growth and peak reduction are illustrated.
A.Ashoornezhad; H.Falaghi; M.Yousefi; Amin Hajizadeh. Bi-Level Distribution Network Planning Integrated with Energy Storage to PV-Connected Network. 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE) 2020, 1325 -1329.
AMA StyleA.Ashoornezhad, H.Falaghi, M.Yousefi, Amin Hajizadeh. Bi-Level Distribution Network Planning Integrated with Energy Storage to PV-Connected Network. 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE). 2020; ():1325-1329.
Chicago/Turabian StyleA.Ashoornezhad; H.Falaghi; M.Yousefi; Amin Hajizadeh. 2020. "Bi-Level Distribution Network Planning Integrated with Energy Storage to PV-Connected Network." 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE) , no. : 1325-1329.