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Distribution transformers (DTs) are deemed as one of the major and high-priced equipment of electrical grids and their destruction negatively affects the stability and security of the network. The insulation status of the transformer depends on the hotspot and oil temperatures. Accordingly, controlling and, if possible, reduction of transformer oil temperature will improve the insulation status. In this paper, the effect of using nano-oil on oil temperature and loading capacity increment (LCI) of DTs has been studied via the electro-thermal resistance model (E-TRM). The studied nanofluids are two volumetric concentrations of multi-walled carbon nanotubes (MWCNTs) and three volumetric concentrations of diamond nanoparticles dispersed in pure mineral oil (MO). First, the numerical results gained from the E-TRM method are compared and verified with the experiential results of a 500 kVA DT. As well as, the effect of using MWCNT, diamond and proposed ONF nanoparticles in the heat transfer capacity of the transformer are investigated and compared. The results demonstrate that the highest temperature reduction in comparison with MO among the studied nanofluids is about 1 °C and for nanofluid ODI2. While the use of hypothetical ONF nanofluid reduces the oil temperature by 2.7 °C. Finally, the LCI of DTs caused by the use of nanofluids is investigated by the proposed novel equation. The use of nanofluids, especially the proposed ONF nanofluid, leads to the LCI up to 5%.
Ali Asghar Taheri; Ali Abdali; Mohammad Taghilou; Hassan Haes Alhelou; Kazem Mazlumi. Investigation of Mineral Oil-Based Nanofluids Effect on Oil Temperature Reduction and Loading Capacity Increment of Distribution Transformers. Energy Reports 2021, 7, 4325 -4334.
AMA StyleAli Asghar Taheri, Ali Abdali, Mohammad Taghilou, Hassan Haes Alhelou, Kazem Mazlumi. Investigation of Mineral Oil-Based Nanofluids Effect on Oil Temperature Reduction and Loading Capacity Increment of Distribution Transformers. Energy Reports. 2021; 7 ():4325-4334.
Chicago/Turabian StyleAli Asghar Taheri; Ali Abdali; Mohammad Taghilou; Hassan Haes Alhelou; Kazem Mazlumi. 2021. "Investigation of Mineral Oil-Based Nanofluids Effect on Oil Temperature Reduction and Loading Capacity Increment of Distribution Transformers." Energy Reports 7, no. : 4325-4334.
In this paper, a robust scheduling model is proposed for combined heat and power (CHP)-based microgrids using information gap decision theory (IGDT). The microgrid under study consists of conventional power generation as well as boiler units, fuel cells, CHPs, wind turbines, solar PVs, heat storage units, and battery energy storage systems (BESS) as the set of distributed energy resources (DERs). Additionally, a demand response program (DRP) model is considered which has a successful performance in the microgrid hourly scheduling. One of the goals of CHP-based microgrid scheduling is to provide both thermal and electrical energy demands of the consumers. Additionally, the other objective is to benefit from the revenues obtained by selling the surplus electricity to the main grid during the high energy price intervals or purchasing it from the grid when the price of electricity is low at the electric market. Hence, in this paper, a robust scheduling approach is developed with the aim of maximizing the total profit of different energy suppliers in the entire scheduling horizon. The employed IGDT technique aims to handle the impact of uncertainties in the power output of wind and solar PV units on the overall profit.
Abbas Rabiee; Ali Abdali; Seyed Mohseni-Bonab; Mohsen Hazrati. Risk-Averse Scheduling of Combined Heat and Power-Based Microgrids in Presence of Uncertain Distributed Energy Resources. Sustainability 2021, 13, 7119 .
AMA StyleAbbas Rabiee, Ali Abdali, Seyed Mohseni-Bonab, Mohsen Hazrati. Risk-Averse Scheduling of Combined Heat and Power-Based Microgrids in Presence of Uncertain Distributed Energy Resources. Sustainability. 2021; 13 (13):7119.
Chicago/Turabian StyleAbbas Rabiee; Ali Abdali; Seyed Mohseni-Bonab; Mohsen Hazrati. 2021. "Risk-Averse Scheduling of Combined Heat and Power-Based Microgrids in Presence of Uncertain Distributed Energy Resources." Sustainability 13, no. 13: 7119.
Photovoltaic is one of the renewable energies in generating electricity. The MPPT as effective technique can improve the performance of photovoltaic cells. Key problem in photovoltaic systems is that it does not achieve much power since the various weather conditions effects on photovoltaic power cells in working such as solar radiation or rainy and cloudy weather. Therefore, the MPPT in PV cells runs and leads to change during the day and seasons. On the other hand, providing an appropriate controller for the MPPT is too important. Here, main purpose is applying the robust controller, which is tuned by firefly algorithm to optimize MPPT in photovoltaic systems. The main reason to propose this method is some defects in previous controllers such as low stability, low battery lifetime, inability to combine AC/DC and low efficiency. The suggested model is performed by MATLAB/Simulink software. Finally, the FLFA model has higher efficiency and best dynamic response than other methods.
Ali Abdali; Kazem Mazlumi. AC/DC robust controller technique for reliable operation of photovoltaic-based microgrid using firefly algorithm and fuzzy logic. International Journal of Emerging Electric Power Systems 2021, 22, 451 -462.
AMA StyleAli Abdali, Kazem Mazlumi. AC/DC robust controller technique for reliable operation of photovoltaic-based microgrid using firefly algorithm and fuzzy logic. International Journal of Emerging Electric Power Systems. 2021; 22 (4):451-462.
Chicago/Turabian StyleAli Abdali; Kazem Mazlumi. 2021. "AC/DC robust controller technique for reliable operation of photovoltaic-based microgrid using firefly algorithm and fuzzy logic." International Journal of Emerging Electric Power Systems 22, no. 4: 451-462.
Direct current (dc) microgrids have gained significant interest in research due to dc generation/storage technologies—such as photovoltaics (PV) and batteries—increasing performance and reducing in cost. However, proper protection and control systems are critical in order to make dc microgrids feasible. This paper aims to propose a novel integrated control and protection scheme by using the state-dependent Riccati equation (SDRE) method for PV-battery based islanded dc microgrids. The dc microgrid under study consists of photovoltaic (PV) generation, a battery energy storage system (BESS), a capacitor bank and a dc load. The aims of this study are fast fault detection and voltage control of the dc load bus. To do so, the SDRE observer-controller—a nonlinear mathematical model—is employed to model the operation of the dc microgrid. Simulation results show that the proposed SDRE method is effective for fault detection and robust against external disturbances, resulting in it being capable of controlling the dc load bus voltage during disturbances. Finally, the dc microgrid and its proposed protection scheme are implemented in an experimental testbed prototype to verify the fault detection algorithm feasibility. The experimental results indicate that the SDRE scheme can effectively detect faults in a few milliseconds.
Ali Abdali; Kazem Mazlumi; Josep M. Guerrero. Integrated Control and Protection Architecture for Islanded PV-Battery DC Microgrids: Design, Analysis and Experimental Verification. Applied Sciences 2020, 10, 8847 .
AMA StyleAli Abdali, Kazem Mazlumi, Josep M. Guerrero. Integrated Control and Protection Architecture for Islanded PV-Battery DC Microgrids: Design, Analysis and Experimental Verification. Applied Sciences. 2020; 10 (24):8847.
Chicago/Turabian StyleAli Abdali; Kazem Mazlumi; Josep M. Guerrero. 2020. "Integrated Control and Protection Architecture for Islanded PV-Battery DC Microgrids: Design, Analysis and Experimental Verification." Applied Sciences 10, no. 24: 8847.
In the energy distribution networks, the most important and valuable equipment is oil-immersed distribution transformers. Besides, due to the key role of these transformers and their multiplicity, their lifetime monitoring is inevitable. The life of a transformer depends on the weakest solid insulation material (i.e. paper insulation). On the other hand, monitoring the transformer insulation status requires accurate information to be available about the oil temperature at every moment. Therefore, it is important to control and predict the oil temperature rise in the transformer. In this study, a new model based on fundamental heat transfer theory is proposed for thermal behaviour prediction of top oil of indoor distribution transformers using the concept of thermal resistance, namely electro-thermal resistance model (E-TRM). In E-TRM, the thermal resistance network is formed by following three-dimensional heat transfer path and assigning thermal resistance to each path. To evaluate the proposed E-TRM, the results of this model are verified with experimental results. Moreover, the E-TRM is used to predict the thermal behaviour of the indoor transformer in the overloading condition. At the end, the transformer loss of life is estimated based on the oil temperature and a normal cyclic overloading strategy is presented for overloading management.
Ali Asghar Taheri; Ali Abdali; Abbas Rabiee. Indoor distribution transformers oil temperature prediction using new electro‐thermal resistance model and normal cyclic overloading strategy: an experimental case study. IET Generation, Transmission & Distribution 2020, 14, 5792 -5803.
AMA StyleAli Asghar Taheri, Ali Abdali, Abbas Rabiee. Indoor distribution transformers oil temperature prediction using new electro‐thermal resistance model and normal cyclic overloading strategy: an experimental case study. IET Generation, Transmission & Distribution. 2020; 14 (24):5792-5803.
Chicago/Turabian StyleAli Asghar Taheri; Ali Abdali; Abbas Rabiee. 2020. "Indoor distribution transformers oil temperature prediction using new electro‐thermal resistance model and normal cyclic overloading strategy: an experimental case study." IET Generation, Transmission & Distribution 14, no. 24: 5792-5803.
This paper presents a new protection method for LVDC ring-bus microgrid systems based on Multi-Criterion System (MCS) and Neural Network (NN). The proposed method aimed at high-speed detecting line-to-ground (LG) and line-to-line (LL) low impedance faults without using a definite threshold of differential current by using specific rules and multi-criterion system. MCS protection showed speed and accuracy compared to differential protection. Also, NN estimated fault location in percent of line length acceptably as a secondary controller. In order to evaluate the reliability and the enforceability of fault detection and location schemes, simulated network and protection algorithms are implemented and tested in laboratory-scale. The implementation results indicate that the MCS and NN protection scheme can consistently detect and estimate fault locations in the order of a few milliseconds. To reach this goal, a loop type LVDC microgrid with proper power electronic equipment like solid-state bidirectional breakers and the multi-level inverter is fulfilled.
Ali Abdali; Kazem Mazlumi; Reza Noroozian. High-speed fault detection and location in DC microgrids systems using Multi-Criterion System and neural network. Applied Soft Computing 2019, 79, 341 -353.
AMA StyleAli Abdali, Kazem Mazlumi, Reza Noroozian. High-speed fault detection and location in DC microgrids systems using Multi-Criterion System and neural network. Applied Soft Computing. 2019; 79 ():341-353.
Chicago/Turabian StyleAli Abdali; Kazem Mazlumi; Reza Noroozian. 2019. "High-speed fault detection and location in DC microgrids systems using Multi-Criterion System and neural network." Applied Soft Computing 79, no. : 341-353.
This paper proposes a novel simultaneous control interface and protection scheme for DC microgrids (DCµG) interconnected systems, although the interconnections could be possible via two power electronic systems such as DC/DC converter. Each DCµG presented in this paper is supplied by AC grid as well as battery bank unit, distributed generation (DG) unit and AC load unit. The proposed control interface is based on a developed suitable small signal model for each DCµG that provides proper power flow control and cancellation of interactions between DCµG. Also, the presented protection scheme for fast fault detection in DC link is based on fuzzy inference system (FIS), so that faults could be detected as quickly as possible in few milliseconds. In fact, the aim of this paper is simultaneous protection and control interface for DC multi microgrids, so that the performance of the controller and protection system is separate, yet integrated together. As such, DC multi microgrid performance under different events, such as change in active power of DGs and short circuit is not in trouble and disorder. Simulation results indicate the remarkable effectiveness of the proposed control interface and protection scheme for DCµG interconnected systems. For validation of the capability and feasibility of FIS fault detection scheme, simulated network and protection algorithm are implemented in laboratory-scale. The implementation results demonstrate that FIS protection scheme can swiftly detect faults within a few milliseconds.
Ali Abdali; Reza Noroozian; Kazem Mazlumi. Simultaneous control and protection schemes for DC multi microgrids systems. International Journal of Electrical Power & Energy Systems 2018, 104, 230 -245.
AMA StyleAli Abdali, Reza Noroozian, Kazem Mazlumi. Simultaneous control and protection schemes for DC multi microgrids systems. International Journal of Electrical Power & Energy Systems. 2018; 104 ():230-245.
Chicago/Turabian StyleAli Abdali; Reza Noroozian; Kazem Mazlumi. 2018. "Simultaneous control and protection schemes for DC multi microgrids systems." International Journal of Electrical Power & Energy Systems 104, no. : 230-245.