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Prof. Reza Zamani
Tarbiat Modares University

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0 Demand Response
0 Distributed Generation
0 Power System Operation
0 Smart Grid
0 microgrid

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power system
Islanding detection
Distributed Generation
Demand Response
Smart Grid

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Journal article
Published: 27 March 2021 in Electric Power Systems Research
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Reliable and fast state discrimination are among the most important requirements in islanding detection methods (IDMs) to avoid islanded operation problems of distributed generation (DG) systems. This paper proposes a novel, IDM based on the dynamic response characteristics of synchronous DGs. The proposed method is based on four features of the dynamic behavior of synchronous DGs, namely, participation matrix; zero mode; oscillation frequency; and damping factor. This allows to distinguish between islanding conditions and grid-connected disturbances, even when demand and generation are closely matched. These features are extracted in practice from local measurements using Hilbert-Huang transform (HHT) technique. Moreover, a new method for online observation of the participation matrix based on online power system measurements is proposed. The impacts of synchronous DG controllers and motor loads are considered in the proposed method. Different scenarios such as load shedding, load restoration, capacitor switching, and short circuit faults have been simulated to assess the performance of the proposed method. Simulations are performed on a typical distribution system with real data for different scenarios to verify the high speed performance, reliability, robustness, and applicability of the proposed islanding detection algorithm. Comparison with alternative islanding detection methods prove the superiority of the proposed approach.

ACS Style

Reza Zamani; Mohammad Esmail Hamedani Golshan; Hassan Haes Alhelou; Nikos Hatziargyriou. A Novel Synchronous DGs Islanding Detection Method based on Online Dynamic Features Extraction. Electric Power Systems Research 2021, 195, 107180 .

AMA Style

Reza Zamani, Mohammad Esmail Hamedani Golshan, Hassan Haes Alhelou, Nikos Hatziargyriou. A Novel Synchronous DGs Islanding Detection Method based on Online Dynamic Features Extraction. Electric Power Systems Research. 2021; 195 ():107180.

Chicago/Turabian Style

Reza Zamani; Mohammad Esmail Hamedani Golshan; Hassan Haes Alhelou; Nikos Hatziargyriou. 2021. "A Novel Synchronous DGs Islanding Detection Method based on Online Dynamic Features Extraction." Electric Power Systems Research 195, no. : 107180.

Journal article
Published: 23 October 2020 in Electric Power Systems Research
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Need for sufficient reactive power reserve for fast reaction against large disturbances necessitates developing an integrated and coordinated voltage control scheme including controlled and mechanically switched control devices. This paper proposes a day-ahead optimal voltage control scheme for transmission system considering static var compensators (SVCs), capacitor banks, load tap changers(LTCs) transformers and synchronous machines. The scheme is based on defining an optimization problem which includes two objective functions for reactive power reserve and voltage regulation precision of SVCs, two objective functions related to number of capacitors switching and LTCs tap changing, and two objective functions for improving the network performance. The multi-objective optimization problem is solved subject to a complete set of constraints related to the network and voltage control devices. The solution algorithm of the proposed problem is based on defining a single objective function by applying appropriate weighting coefficients to the normalized indices. Performance of the proposed scheme is investigated on IEEE 30-bus system through various studies. Particularly, the effectiveness of the scheme is demonstrated to realize the objectives for conditions where the load profiles at transmission buses are considerably modified due to structuring changes in the downstream networks.

ACS Style

Seyyed Kambiz Mahmoudi; Mohammad Esmail Hamedani Golshan; Reza Zamani. Coordinated voltage control scheme for transmission system considering objectives and constraints of network and control devices. Electric Power Systems Research 2020, 192, 106908 .

AMA Style

Seyyed Kambiz Mahmoudi, Mohammad Esmail Hamedani Golshan, Reza Zamani. Coordinated voltage control scheme for transmission system considering objectives and constraints of network and control devices. Electric Power Systems Research. 2020; 192 ():106908.

Chicago/Turabian Style

Seyyed Kambiz Mahmoudi; Mohammad Esmail Hamedani Golshan; Reza Zamani. 2020. "Coordinated voltage control scheme for transmission system considering objectives and constraints of network and control devices." Electric Power Systems Research 192, no. : 106908.

Journal article
Published: 17 July 2020 in IEEE Transactions on Power Delivery
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Advances in renewable energy recourses technologies have paved the way for increased utilization of DC grids in modern power systems. In particular, high voltage DC (HVDC) transmission cables are used to harvest offshore energy. Since failure diagnosis and repair of the buried offshore cables under the sea bed involve quite laborious tasks, accurate fault location is of vital importance. This paper proposes a novel fault location method based on the synchronized measurement of conductors and sheaths currents in each terminal without requiring the voltage signal. Unlike the traveling-wave-based methods, the proposed method is developed for multi-terminal HVDC systems without requiring any high precision measurement infrastructure. The proposed method can be implemented for different system topologies as well as fault resistance and fault distance. The fault location method can provide accurate results even if 10ms time window samples are imported into the proposed algorithm. In addition, accuracy of the fault location using the proposed method is not affected significantly by noisy condition. Different test systems have been simulated to evaluate performance of the proposed method in various scenarios. Obtained results confirm that the proposed practical method can provide the accurate fault location for all different scenarios and conditions.

ACS Style

Habib Panahi; Majid Sanaye-Pasand; Reza Zamani; Hasan Mehrjerdi. A Novel DC Transmission System Fault Location Technique for Offshore Renewable Energy Harvesting. IEEE Transactions on Power Delivery 2020, 35, 2885 -2895.

AMA Style

Habib Panahi, Majid Sanaye-Pasand, Reza Zamani, Hasan Mehrjerdi. A Novel DC Transmission System Fault Location Technique for Offshore Renewable Energy Harvesting. IEEE Transactions on Power Delivery. 2020; 35 (6):2885-2895.

Chicago/Turabian Style

Habib Panahi; Majid Sanaye-Pasand; Reza Zamani; Hasan Mehrjerdi. 2020. "A Novel DC Transmission System Fault Location Technique for Offshore Renewable Energy Harvesting." IEEE Transactions on Power Delivery 35, no. 6: 2885-2895.

Journal article
Published: 07 February 2020 in International Journal of Electrical Power & Energy Systems
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This paper proposes a novel, generation technology mix determination method considering short term demand response, energy storage systems, and electric vehicles to provide more flexibility to the future power systems. In the proposed method, new models of both electric vehicles and energy storage technologies for contributing to generation mix determination studies are suggested. The integration of the different emerging technologies, i.e. demand response, energy storage systems, and electric vehicles into traditional generation mix determination is done firstly by adopting mix complementary programing method. Then, to overcome the problems of such integration and to avoid its complexity, it is converted to quadric complimentary programing model. The proposed generation mix determination framework is tested on the Spanish power system with real data. The outputs of the proposed method are the optimal capacities of the conventional generating units, the different types of energy storages and wind turbines. Simulation results demonstrate the effectiveness of the proposed method in determining the optimal generation mix of future power systems with high penetration level of wind energy resources. Moreover, the results verify the potential of the proposed method in providing better flexibility services to power system if compared with other methods.

ACS Style

Hassan Haes Alhelou; Seyed Jamal Mirjalili; Reza Zamani; Pierluigi Siano. Assessing the optimal generation technology mix determination considering demand response and EVs. International Journal of Electrical Power & Energy Systems 2020, 119, 105871 .

AMA Style

Hassan Haes Alhelou, Seyed Jamal Mirjalili, Reza Zamani, Pierluigi Siano. Assessing the optimal generation technology mix determination considering demand response and EVs. International Journal of Electrical Power & Energy Systems. 2020; 119 ():105871.

Chicago/Turabian Style

Hassan Haes Alhelou; Seyed Jamal Mirjalili; Reza Zamani; Pierluigi Siano. 2020. "Assessing the optimal generation technology mix determination considering demand response and EVs." International Journal of Electrical Power & Energy Systems 119, no. : 105871.

Journal article
Published: 16 August 2019 in Energies
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Different issues will be raised and highlighted by emerging distributed generations (DGs) into modern power systems in which the islanding detection is the most important. In the islanding situation, a part of the system which consists of at least one DG, passive grid, and local load, becomes fully separated from the main grid. Several detection methods of islanding have been proposed in recent researches based on measured electrical parameters of the system. However, islanding detection based on local measurements suffers from the non-detection zone (NDZ) and undesirable detection during grid-connected events. This paper proposes a passive islanding detection algorithm for all types of DGs by appropriate combining the measured frequency, voltage, current, and phase angle and their rate of changes at the point of common coupling (PCC). The proposed algorithm detects the islanding situation, even with the exact zero power mismatches. Proposed algorithm discriminates between the islanding situation and non-islanding disturbances, such as short circuit faults, capacitor faults, and load switching in a proper time and without mal-operation. In addition, the performance of the proposed algorithm has been evaluated under different scenarios by performing the algorithm on the IEEE 13-bus distribution system.

ACS Style

Arash Abyaz; Habib Panahi; Reza Zamani; Hassan Haes Alhelou; Pierluigi Siano; Miadreza Shafie-Khah; Mimmo Parente. An Effective Passive Islanding Detection Algorithm for Distributed Generations. Energies 2019, 12, 3160 .

AMA Style

Arash Abyaz, Habib Panahi, Reza Zamani, Hassan Haes Alhelou, Pierluigi Siano, Miadreza Shafie-Khah, Mimmo Parente. An Effective Passive Islanding Detection Algorithm for Distributed Generations. Energies. 2019; 12 (16):3160.

Chicago/Turabian Style

Arash Abyaz; Habib Panahi; Reza Zamani; Hassan Haes Alhelou; Pierluigi Siano; Miadreza Shafie-Khah; Mimmo Parente. 2019. "An Effective Passive Islanding Detection Algorithm for Distributed Generations." Energies 12, no. 16: 3160.

Journal article
Published: 03 July 2019 in Electric Power Systems Research
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Integration of the distributed generators (DGs) to power system is growing thanks to their technical, economic and environment benefits. The high penetration of DGs however raises a number of technical problems. One of these problems is islanding, which occurs when one or more DGs continue to energize a portion of the power system which has been isolated from the main grid. Timely islanding detection and discrimination between islanding and non-islanding disturbance conditions are very important for the safety of the personnel and the safe operation of equipment. This paper proposes a hybrid islanding detection method for distribution systems containing synchronous distributed generation (SDG) based on two active and reactive power control loops and a signal processing technique. The operation of the control loops accelerates islanding detection at early stages of instability by processing the terminal voltage of SDG. The proposed method is validated by extensive simulations. The results demonstrate that the proposed method is able to timely and precisely detect islanding situations and can clearly distinguish between islanding and non-islanding events, even if active and reactive power between generation and demand are very close. In addition, the proposed method has negligible impacts on power quality and is capable to allow the islanded system to operate in autonomous mode after separation from the main grid.

ACS Style

Reza Zamani; Mohammad Esmail Hamedani Golshan; Hassan Haes Alhelou; Nikos Hatziargyriou. A novel hybrid islanding detection method using dynamic characteristics of synchronous generator and signal processing technique. Electric Power Systems Research 2019, 175, 105911 .

AMA Style

Reza Zamani, Mohammad Esmail Hamedani Golshan, Hassan Haes Alhelou, Nikos Hatziargyriou. A novel hybrid islanding detection method using dynamic characteristics of synchronous generator and signal processing technique. Electric Power Systems Research. 2019; 175 ():105911.

Chicago/Turabian Style

Reza Zamani; Mohammad Esmail Hamedani Golshan; Hassan Haes Alhelou; Nikos Hatziargyriou. 2019. "A novel hybrid islanding detection method using dynamic characteristics of synchronous generator and signal processing technique." Electric Power Systems Research 175, no. : 105911.

Journal article
Published: 13 June 2019 in CSEE Journal of Power and Energy Systems
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ACS Style

Tesfahun Molla; Hawassa University; Baseem Khan; Bezabih Moges; Hassan Haes Alhelou; Reza Zamani; Pierluigi Siano; Tishreen University; Tarbiat Modares University; University of Salerno. Integrated energy optimization of smart home appliances with cost-effective energy management system. CSEE Journal of Power and Energy Systems 2019, 1 .

AMA Style

Tesfahun Molla, Hawassa University, Baseem Khan, Bezabih Moges, Hassan Haes Alhelou, Reza Zamani, Pierluigi Siano, Tishreen University, Tarbiat Modares University, University of Salerno. Integrated energy optimization of smart home appliances with cost-effective energy management system. CSEE Journal of Power and Energy Systems. 2019; ():1.

Chicago/Turabian Style

Tesfahun Molla; Hawassa University; Baseem Khan; Bezabih Moges; Hassan Haes Alhelou; Reza Zamani; Pierluigi Siano; Tishreen University; Tarbiat Modares University; University of Salerno. 2019. "Integrated energy optimization of smart home appliances with cost-effective energy management system." CSEE Journal of Power and Energy Systems , no. : 1.

Conference paper
Published: 01 June 2019 in 2019 IEEE Milan PowerTech
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In the event of a power system disturbance, it is important that the decision to implement under frequency load shedding is based on both the minimum frequency and the magnitude of the disturbance. In this paper, we propose the use of higher order polynomial curve fitting to estimate the minimum frequency. If the prediction shows that the minimum frequency threshold will be violated, the magnitude of the total disturbance is estimated using the swing equation. In addition, the minimum amount of load that must be shed to restore the frequency just above the minimum value can also be directly calculated. Simulations are carried out for the considered Taiwan power system and the results prove the efficiency of the proposed technique.

ACS Style

Hassan Haes Alhelou; M.E.H. Golshan; Reza Zamani; M. P. Moghaddam; Takawira C. Njenda; Pierluigi Siano; Mousa Marzband. An Improved UFLS Scheme based on Estimated Minimum Frequency and Power Deficit. 2019 IEEE Milan PowerTech 2019, 1 -6.

AMA Style

Hassan Haes Alhelou, M.E.H. Golshan, Reza Zamani, M. P. Moghaddam, Takawira C. Njenda, Pierluigi Siano, Mousa Marzband. An Improved UFLS Scheme based on Estimated Minimum Frequency and Power Deficit. 2019 IEEE Milan PowerTech. 2019; ():1-6.

Chicago/Turabian Style

Hassan Haes Alhelou; M.E.H. Golshan; Reza Zamani; M. P. Moghaddam; Takawira C. Njenda; Pierluigi Siano; Mousa Marzband. 2019. "An Improved UFLS Scheme based on Estimated Minimum Frequency and Power Deficit." 2019 IEEE Milan PowerTech , no. : 1-6.

Conference paper
Published: 01 June 2019 in 2019 IEEE Milan PowerTech
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The data analysis techniques are used widely in power system applications. The Hilbert-Huang transform (HHT) is a popular technique for non-linear and non-stationary data analysis. This paper concentrates on improvement of standard HHT to overcome shortages and practical obstacles. The proposed method refines the accuracy and performance of the empirical mode decomposition (EMD) and local Hilbert transformer (HT) for power system local oscillation monitoring. The effectiveness of the proposed method is evaluated under different oscillating signals and complex power system models and compared with other approaches. It is shown that the accuracy and time of processing are simultaneously improved.

ACS Style

Reza Zamani; Mohsen Parsa Moghaddam; Maryam Imani; Hassan Haes Alhelou; Mohammad Esmail Hamedani Golshan; Pierluigi Siano. A Novel Improved Hilbert-Huang Transform Technique for Implementation of Power System Local Oscillation Monitoring. 2019 IEEE Milan PowerTech 2019, 1 -6.

AMA Style

Reza Zamani, Mohsen Parsa Moghaddam, Maryam Imani, Hassan Haes Alhelou, Mohammad Esmail Hamedani Golshan, Pierluigi Siano. A Novel Improved Hilbert-Huang Transform Technique for Implementation of Power System Local Oscillation Monitoring. 2019 IEEE Milan PowerTech. 2019; ():1-6.

Chicago/Turabian Style

Reza Zamani; Mohsen Parsa Moghaddam; Maryam Imani; Hassan Haes Alhelou; Mohammad Esmail Hamedani Golshan; Pierluigi Siano. 2019. "A Novel Improved Hilbert-Huang Transform Technique for Implementation of Power System Local Oscillation Monitoring." 2019 IEEE Milan PowerTech , no. : 1-6.

Journal article
Published: 19 October 2018 in Energies
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There has been a considerable importance for the islanding detection due to the growing integration of distributed generations (DGs) in the modern power grids. This paper proposes a novel active islanding detection scheme for synchronous DGs, considering two additional compensators and a positive feedback for each of active and reactive power control loops. The added blocks are designed using the small gain theorem and stability margins definition considering characteristics of open loop transfer functions of synchronous DG control loops. Islanding can be detected using the proposed method even where there is an exact match between generation and local load without sacrificing power quality. In addition, the performance of the proposed method can be retained even with high penetration of motor loads. The proposed scheme improves the stability and power quality of the grid, when the synchronous DG is subjected to the grid-connected disturbances. Furthermore, this method augments the stability margins of the system in the grid-connected conditions to enhance the disturbances ride-through capability of the system and reduce the negative impact of the active methods on the power quality. Simultaneous advantages of the proposed scheme are demonstrated by modeling a test system in MATLAB software and time-domain simulation achieved by PSCAD.

ACS Style

Reza Zamani; Mohamad-Esmail Hamedani-Golshan; Hassan Haes Alhelou; Pierluigi Siano; Hemanshu R. Pota. Islanding Detection of Synchronous Distributed Generator Based on the Active and Reactive Power Control Loops. Energies 2018, 11, 2819 .

AMA Style

Reza Zamani, Mohamad-Esmail Hamedani-Golshan, Hassan Haes Alhelou, Pierluigi Siano, Hemanshu R. Pota. Islanding Detection of Synchronous Distributed Generator Based on the Active and Reactive Power Control Loops. Energies. 2018; 11 (10):2819.

Chicago/Turabian Style

Reza Zamani; Mohamad-Esmail Hamedani-Golshan; Hassan Haes Alhelou; Pierluigi Siano; Hemanshu R. Pota. 2018. "Islanding Detection of Synchronous Distributed Generator Based on the Active and Reactive Power Control Loops." Energies 11, no. 10: 2819.

Review
Published: 20 September 2018 in Energies
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Power systems are the most complex systems that have been created by men in history. To operate such systems in a stable mode, several control loops are needed. Voltage frequency plays a vital role in power systems which need to be properly controlled. To this end, primary and secondary frequency control loops are used to control the frequency of the voltage in power systems. Secondary frequency control, which is called Load Frequency Control (LFC), is responsible for maintaining the frequency in a desirable level after a disturbance. Likewise, the power exchanges between different control areas are controlled by LFC approaches. In recent decades, many control approaches have been suggested for LFC in power systems. This paper presents a comprehensive literature survey on the topic of LFC. In this survey, the used LFC models for diverse configurations of power systems are firstly investigated and classified for both conventional and future smart power systems. Furthermore, the proposed control strategies for LFC are studied and categorized into different control groups. The paper concludes with highlighting the research gaps and presenting some new research directions in the field of LFC.

ACS Style

Hassan Haes Alhelou; Mohamad-Esmail Hamedani-Golshan; Reza Zamani; Ehsan Heydarian-Forushani; Pierluigi Siano. Challenges and Opportunities of Load Frequency Control in Conventional, Modern and Future Smart Power Systems: A Comprehensive Review. Energies 2018, 11, 2497 .

AMA Style

Hassan Haes Alhelou, Mohamad-Esmail Hamedani-Golshan, Reza Zamani, Ehsan Heydarian-Forushani, Pierluigi Siano. Challenges and Opportunities of Load Frequency Control in Conventional, Modern and Future Smart Power Systems: A Comprehensive Review. Energies. 2018; 11 (10):2497.

Chicago/Turabian Style

Hassan Haes Alhelou; Mohamad-Esmail Hamedani-Golshan; Reza Zamani; Ehsan Heydarian-Forushani; Pierluigi Siano. 2018. "Challenges and Opportunities of Load Frequency Control in Conventional, Modern and Future Smart Power Systems: A Comprehensive Review." Energies 11, no. 10: 2497.

Conference paper
Published: 01 April 2018 in 2018 6th International Istanbul Smart Grids and Cities Congress and Fair (ICSG)
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Penetration of distributed generators (DGs) has continued to grow rapidly into power grids and is one of the indispensable aspects of the future smart grid. If a part of the system becomes islanded, DGs should effectively continue to control the islanded power system without degradation of power quality, and otherwise the DGs should be disconnected as soon as they have no adverse impact on the islanded grid. Therefore, the islanding should be detected timely in order to disconnect the DG or change control strategy of the DG. This paper proposes a passive islanding detection method for synchronous DGs based on pattern recognition of signal trajectory. The proposed algorithm provides an accurate islanding detection for future smart grid using intelligent relays. The islanding situation can be discriminated from grid-connected disturbances even when the generation and load are closely matched in the island. The performance of the proposed method has been investigated using PSCAD/EMTDC time-domain simulations in different scenarios.

ACS Style

Reza Zamani; Mohammad Esmaeil Hamedani Golshan. Islanding detection of synchronous machine-based distributed generators using signal trajectory pattern recognition. 2018 6th International Istanbul Smart Grids and Cities Congress and Fair (ICSG) 2018, 91 -95.

AMA Style

Reza Zamani, Mohammad Esmaeil Hamedani Golshan. Islanding detection of synchronous machine-based distributed generators using signal trajectory pattern recognition. 2018 6th International Istanbul Smart Grids and Cities Congress and Fair (ICSG). 2018; ():91-95.

Chicago/Turabian Style

Reza Zamani; Mohammad Esmaeil Hamedani Golshan. 2018. "Islanding detection of synchronous machine-based distributed generators using signal trajectory pattern recognition." 2018 6th International Istanbul Smart Grids and Cities Congress and Fair (ICSG) , no. : 91-95.

Journal article
Published: 31 December 2001 in Computers & Operations Research
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ACS Style

Reza Zamani. A high-performance exact method for the resource-constrained project scheduling problem. Computers & Operations Research 2001, 28, 1387 -1401.

AMA Style

Reza Zamani. A high-performance exact method for the resource-constrained project scheduling problem. Computers & Operations Research. 2001; 28 (14):1387-1401.

Chicago/Turabian Style

Reza Zamani. 2001. "A high-performance exact method for the resource-constrained project scheduling problem." Computers & Operations Research 28, no. 14: 1387-1401.