I was born in Saveh, Iran. I received the B.Sc. and M.Sc. degrees from the Department of Electrical Engineering, Azad University, Saveh Branch, Iran, in 2004 and 2013, respectively. I am pursuing my PhD at University of Technology Sydney (UTS).
I have more than 10 years of experience in different parts of the electrical industry. I have proven skills handling construction projects as well as a strong background in the field of automation and control (PLC). I also possess valuable experience in relation to electrical grids in transmission, distribution and load levels.
- Power Systems Modelling, Dynamics and Control
- Renewable Energy Resources & Distributed Generation units
- Smart/Micro Grids
- Power Converters (Power Electronic)
- Control and Optimisation
Eskandari, M, Li, L, moradi, M, Siano, P & Blaabjerg, F 2019, 'Simultaneous Reactive Power Sharing and Voltage Regulation in an Autonomous Networked Microgrid', IET Generation, Transmission & Distribution.View/Download from: UTS OPUS or Publisher's site
Eskandari, M, Li, L, Moradi, MH, Siano, P & Blaabjerg, F 2019, 'Active Power Sharing and Frequency Restoration in an Autonomous Networked Microgrid', IEEE Transactions on Power Systems, pp. 1-1.View/Download from: UTS OPUS or Publisher's site
Rajabi, A, Eskandari, M, Jabbari Ghadi, M, Ghavidel, S, Li, L, Zhang, J & Siano, P 2019, 'A pattern recognition methodology for analyzing residential customers load data and targeting demand response applications', Energy and Buildings, vol. 203.View/Download from: Publisher's site
© 2019 Elsevier B.V. The availability of smart meter data allows defining innovative applications such as demand response (DR) programs for households. However, the dimensionality of data imposes challenges for the data mining of load patterns. In addition, the inherent variability of residential consumption patterns is a major problem for deciding on the characteristic consumption patterns and implementing proper DR settlements. In this regard, this paper utilizes a data size reduction and clustering methodology to analyze residential consumption behavior. Firstly, the distinctive time periods of household activity during the day are identified. Then, using these time periods, a modified symbolic aggregate approximation (SAX) technique is utilized to transform the load patterns into symbolic representations. In the next step, by applying a clustering method, the major consumption patterns are extracted and analyzed. Finally, the customers are ranked based on their stability over time. The proposed approach is applied on a large dataset of residential customers' smart meter data and can achieve three main goals: 1) it reduces the dimensionality of data by utilizing the data size reduction, 2) it alleviates the problems associated with the clustering of residential customers, 3) its results are in accordance with the needs of systems operators or demand response aggregators and can be used for demand response targeting. The paper also provides a thorough analysis of different aspects of residential electricity consumption and various approaches to the clustering of households which can inform industry and research activity to optimize smart meter operational use.
Eskandari, M & Li, L 2019, 'Microgrid operation improvement by adaptive virtual impedance', IET Renewable Power Generation, vol. 13, no. 2, pp. 296-307.View/Download from: UTS OPUS or Publisher's site
© The Institution of Engineering and Technology 2018.. Microgrids (MGs) are regarded as the best solution for optimal integration of the renewable energy sources into power systems. However, novel control strategies should be developed because of the distinct inherent feature of MG components in comparison to conventional power systems. Although the droop-based control method is adopted in the MG to share power among distributed generation units, its dependency to grid parameters makes its implementation not as convenient as that in conventional power systems. Virtual impedance has been proposed as the complementary part of droop control in MGs. In this study, adaptive virtual impedance is designed considering its effects on the system performance in the MG including: (i) decoupling active and reactive power control by making the grid X/R ratio high, (ii) maximum transferable power through the feeder, (iii) stability concern and (iv) precise reactive power sharing in different operating modes as well as smooth transition from connected mode to islanded mode (IM). To this end, a novel method is proposed to determine the reactive power reference of distributed generation (DG) units according to their contribution in reactive power sharing in IM. In addition, simulation in MATLAB/Simulink environment is conducted to assess the performance of the control system.
Eskandari, M, Li, L, Moradi, MH & Siano, P 2019, 'A nodal approach based state-space model of droop-based autonomous networked microgrids', Sustainable Energy, Grids and Networks, vol. 18.View/Download from: UTS OPUS or Publisher's site
© 2019 Elsevier Ltd As the requirement of expensive and unreliable high band-width communication infrastructure is obviated, decentralized droop-like control method has been considered for power sharing implementation in autonomous microgrids (MGs). To this end, the power network is regarded as a communication link and voltage variables (magnitude and frequency) as control signals. This, however, reduces the stability margin of islanded MGs due to the interaction of droop controllers through the power network. Lack of inertia of droop-controlled power converters and low X/R ratio of interconnecting power lines intensify this interaction which may lead to the instability of Networked MGs (NMG). On the other hand, the existing parallel-based small signal model of MGs is inadequate to represent this interaction, as the adopted common-based reference frame (RF) is not applicable in islanded NMGs. This issue is investigated in this work in details and, inspired from power flow equations, a local RF is proposed to improve the small-signal model accuracy. Droop controllers are also correlated through the power flow equations to properly model their interaction through the power network. Moreover, the state-space model is developed in a fully decentralized approach which does not rely on any converter for any specific role. Eigenvalue analysis and simulation in MATLAB\SIMULINK platforms are executed to evaluate the effectiveness and accuracy of the proposed model.
Mahamedi, B, Eskandari, M, Fletcher, JE & Zhu, J 2019, 'Sequence-Based Control Strategy with Current Limiting for the Fault Ride-Through of Inverter-Interfaced Distributed Generators', IEEE Transactions on Sustainable Energy.View/Download from: Publisher's site
IEEE Three-phase three-leg inverters comprise the majority of inverters that are integrated into power grids. They can develop positive- and negative-sequence components under unbalanced conditions including asymmetrical faults, but not zero sequence. This indicates that a sequence-based control strategy is required for a comprehensive control of inverter currents and voltages, hence positive- and negative-sequence components must be controlled separately with their own dedicated controllers. Given this critical need, a sequence-based control technique for grid-forming and grid-feeding inverter-interfaced distributed generators (IIDG) is proposed. As a necessary part of the fault ride-through (FRT) capability of IIDGs, a current limiter is developed which can limit inverter currents at a pre-defined threshold for both balanced and unbalanced faults/voltage sags. Whilst the current regulators work in the synchronous reference frame with simple PI controllers, the limiter works in natural reference frame and thus treats each phase current separately, which results in current limiting at the threshold for all phases. The advantage of the proposed limiter is that it virtually acts instantaneously such that the inverter current can be limited from the start of the disturbance. The simulation results in MATLAB/SIMULINK reveal promising performance of the proposed control strategy with the proposed current limiting.
Eskandari, M, Li, L & Moradi, MH 2018, 'Decentralized Optimal Servo Control System for Implementing Instantaneous Reactive Power Sharing in Microgrids', IEEE Transactions on Sustainable Energy, vol. 9, no. 2, pp. 525-537.View/Download from: UTS OPUS or Publisher's site
Eskandari, M, Li, L & Moradi, MH 2018, 'Improving power sharing in islanded networked microgrids using fuzzy-based consensus control', SUSTAINABLE ENERGY GRIDS & NETWORKS, vol. 16, pp. 259-269.View/Download from: UTS OPUS or Publisher's site
Mahamedi, B, Zhu, JG, Eskandari, M, Fletcher, JE & Li, L 2018, 'Protection of inverter-based microgrids from ground faults by an innovative directional element', IET GENERATION TRANSMISSION & DISTRIBUTION, vol. 12, no. 22, pp. 5918-5927.View/Download from: UTS OPUS or Publisher's site
Moradi, MH, Eskandari, M & Hosseinian, SM 2016, 'Cooperative control strategy of energy storage systems and micro sources for stabilizing microgrids in different operation modes', INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, vol. 78, pp. 390-400.View/Download from: Publisher's site
Moradi, MH, Eskandari, M & Hosseinian, SM 2015, 'Operational Strategy Optimization in an Optimal Sized Smart Microgrid', IEEE TRANSACTIONS ON SMART GRID, vol. 6, no. 3, pp. 1087-1095.View/Download from: Publisher's site
Moradi, MH & Eskandari, M 2014, 'A hybrid method for simultaneous optimization of DG capacity and operational strategy in microgrids considering uncertainty in electricity price forecasting', RENEWABLE ENERGY, vol. 68, pp. 697-714.View/Download from: Publisher's site
Moradi, MH, Eskandari, M & Showkati, H 2014, 'A hybrid method for simultaneous optimization of DG capacity and operational strategy in microgrids utilizing renewable energy resources', INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, vol. 56, pp. 241-258.View/Download from: Publisher's site
Mahamedi, B, Zhu, JG, Eskandari, M, Li, L & Mehrizi-Sani, A 2018, 'Analysis of fault response of inverter-interfaced distributed generators in sequence networks', 2018 IEEE Industry Applications Society Annual Meeting, IAS 2018, IEEE Industry Applications Society Annual Meeting, IEEE, Portland, OR, USA.View/Download from: UTS OPUS or Publisher's site
© 2018 IEEE Microgrids mainly rely on distributed energy resources (DER) unable to generate electricity at the expected voltage and frequency. This necessitates the usage of inverters acting as a conditioning interface between the DER and microgrid, hence the name inverter-interfaced distributed generators (IIDG). On the other hand, the fast response of the primary control of inverters causes unconventional behavior of IIDGs under fault conditions, which can severely affect all parts of relaying, that is, fault sensing and polarization and faulted phase selection. This issue becomes more pronounced when an inverter-based microgrid operates in autonomous mode. This paper analyzes the root causes of such unconventional responses that challenge the traditional protection schemes. At first, the inverter control strategies including current limiting are briefly discussed. Then, the paper is continued by analyzing the response of an IIDG feeding its local load to balanced and unbalanced faults, where MATLAB/SIMULINK is used for simulation studies. It is shown how the constraints set by the control strategy itself and current limiter affect the response of IIDGs to fault conditions and consequently, their equivalent models under fault conditions. The findings presented in the paper clearly show that protective functions face difficulties in coping with fault conditions in IIDG-based microgrids due to their different equivalent models during fault period. These studies in turn help modify existing protection schemes or devise new ones applicable to this concept.
Eskandari, M & Li, L 2017, 'A Novel Small Signal Model of Multi-Bus Microgrids for Modeling Interaction of Droop Controllers through the Power Network', Proceedings of the 20th International Conference on Electrical Machines and Systems (ICEMS), International Conference on Electrical Machines and Systems, IEEE, Sydney, pp. 1-6.View/Download from: UTS OPUS or Publisher's site
Microgrid (MG) consists of distributed generation (DG) units, which supply MG loads via the power network. Droop-based control system has been proposed for power sharing implementation among DG units in MGs. The droop control performance is based on the power network variables, which makes it easy to implement. As the control system at the primary level, the droop controller plays a major role in secure operation of MGs in terms of stability concern. However, the lack of high band-width communication links, low X/R ratio of grid impedance and fast response power converters make the droop-based MGs exposed to instability. In this work, a suitable small signal model is developed to assess the droop control system performance and stability. In the proposed model, droop controllers' interaction through the transmission network is modeled appropriately. The proposed model reveals unstable regions which have not been discovered by the conventional parallel-based small signal models
Moradi, MH, Eskandari, M & Siano, P 2016, 'Safe transition from connection mode to islanding mode in Microgrids', 2016 24TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE), 24th Iranian Conference on Electrical Engineering (ICEE), IEEE, Shiraz Univ, IRAN, pp. 1902-1907.