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Yunlu Li
School of Electrical Engineering, Shenyang University of Technology, 12398 Shenyang, Liaoning, China

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Journal article
Published: 21 June 2021 in IEEE Transactions on Applied Superconductivity
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In practical application of microgrid cluster, the lack of full detailed information cause the failure of dynamic modeling. Although some data-driven black-box modeling method can tackle this problem, insufficient usage of prior known physical information may reduce the modeling accuracy. To tackle this challenge, a hybrid physical-data-driven method is proposed for the dynamic behavior modeling of microgrid cluster. Motivated by the equivalence of recurrent neural network (RNN) and differential equations, the differential-algebraic equations (DAEs) of unknown part are represented by gate recurrent unit (GRU) based neural network. The DAEs of prior known physical stage are embedded into the proposed neural network, which avoid unnecessary model training of prior known section and improving the modeling efficiency. At first, the basic idea of RNN based dynamic modeling is explained. Then, the modeling guidelines including data preparation and parameter design are suggested. Finally, the effectiveness of the proposed method is confirmed by a test system formed by three microgrids under grid fault and operating point changing conditions.

ACS Style

Yunlu Li; Zizhao Wang; JunYou Yang; Xian Wang; Jiawei Feng. Dynamic Equivalence Modeling for Microgrid Cluster by Using Physical-Data-Driven Method. IEEE Transactions on Applied Superconductivity 2021, PP, 1 -1.

AMA Style

Yunlu Li, Zizhao Wang, JunYou Yang, Xian Wang, Jiawei Feng. Dynamic Equivalence Modeling for Microgrid Cluster by Using Physical-Data-Driven Method. IEEE Transactions on Applied Superconductivity. 2021; PP (99):1-1.

Chicago/Turabian Style

Yunlu Li; Zizhao Wang; JunYou Yang; Xian Wang; Jiawei Feng. 2021. "Dynamic Equivalence Modeling for Microgrid Cluster by Using Physical-Data-Driven Method." IEEE Transactions on Applied Superconductivity PP, no. 99: 1-1.

Short communication
Published: 13 April 2021 in Energy Reports
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The internal parameters and topology of the power converter are unknown in some practical cases. Existing modeling methods based on impedance frequency scanning method can only guarantee that the dynamic modeling is effective at a single working point. To make the established dynamic model effective in a wide range, an equivalent modeling method for power converter based LSTM Neural Network is presented. At first, the equivalence of black-box modeling problem and deep loop neural network is studied. Then, dynamic modeling method black-box power converter on wide operating range by using LSTM neural network is proposed. Finally, the simulation results under large disturbance and multi-operating points show that the proposed method is effective under wide operation range.

ACS Style

Yunlu Li; Guiqing Ma; JunYou Yang; Haixin Wang; Jiawei Feng; Yihua Ma. Dynamic equivalent modeling for power converter based on LSTM neural network in wide operating range. Energy Reports 2021, 7, 477 -484.

AMA Style

Yunlu Li, Guiqing Ma, JunYou Yang, Haixin Wang, Jiawei Feng, Yihua Ma. Dynamic equivalent modeling for power converter based on LSTM neural network in wide operating range. Energy Reports. 2021; 7 ():477-484.

Chicago/Turabian Style

Yunlu Li; Guiqing Ma; JunYou Yang; Haixin Wang; Jiawei Feng; Yihua Ma. 2021. "Dynamic equivalent modeling for power converter based on LSTM neural network in wide operating range." Energy Reports 7, no. : 477-484.

Short communication
Published: 22 December 2020 in Energy Reports
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The dynamic behaviors of microgrid become more complicated due to the increasing implementation of distributed energy generation, energy storage. It is significant to study the dynamic response for power planning, analysis, and control of microgrid. Hence, an accurate dynamic equivalent model is essential, since it can help to evaluate the performance by simulation to avoid the loss and danger in practical test. However, the dynamic model based on differential equation cannot be established because of the lack of information in most of time. To build dynamic model when microgrid is a black-box system, a gated recurrent unit based neural network is proposed in this paper. The proposed neural network can be treated as a black-box differential–algebraic equations. The structure design and model training procedure are presented in detail. Study cases are implemented to evaluate the performance of modeling method. The comparison results show that the proposed dynamic modeling method can precisely estimate the dynamic response of microgrid.

ACS Style

Yunlu Li; JunYou Yang; Haixin Wang; Jia Cui; Yihua Ma; Siyu Huang. Dynamic equivalent modeling for microgrid based on GRU. Energy Reports 2020, 6, 1291 -1297.

AMA Style

Yunlu Li, JunYou Yang, Haixin Wang, Jia Cui, Yihua Ma, Siyu Huang. Dynamic equivalent modeling for microgrid based on GRU. Energy Reports. 2020; 6 ():1291-1297.

Chicago/Turabian Style

Yunlu Li; JunYou Yang; Haixin Wang; Jia Cui; Yihua Ma; Siyu Huang. 2020. "Dynamic equivalent modeling for microgrid based on GRU." Energy Reports 6, no. : 1291-1297.

Journal article
Published: 26 December 2019 in IEEE Access
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This paper concerns a novel data-based policy iteration control method for discrete-time systems with disturbances. To avoid the need of system dynamic and state, a new system equation is constructed by using system operation data. Based on this, we derive a new data-based Bellman equation that can be applied to the design of model-free policy iteration algorithm. For discrete-time system with disturbances, we transform H∞ control into a zero-sum game problem, and then use the proposed new data-based PI method to solve it. Wind turbine control is a typical control problem with time delay and disturbance. Mathematical simulation results are given to demonstrate the effectiveness of the proposed data-based PI control method.

ACS Style

Yang Liu; Zuoxia Xing; Lei Chen; Jian Xu; Yunlu Li; Haixin Wang. $H_\infty$ Control for a Class of Discrete-Time Systems via Data-Based Policy Iteration With Application to Wind Turbine Control. IEEE Access 2019, 8, 14565 -14572.

AMA Style

Yang Liu, Zuoxia Xing, Lei Chen, Jian Xu, Yunlu Li, Haixin Wang. $H_\infty$ Control for a Class of Discrete-Time Systems via Data-Based Policy Iteration With Application to Wind Turbine Control. IEEE Access. 2019; 8 (99):14565-14572.

Chicago/Turabian Style

Yang Liu; Zuoxia Xing; Lei Chen; Jian Xu; Yunlu Li; Haixin Wang. 2019. "$H_\infty$ Control for a Class of Discrete-Time Systems via Data-Based Policy Iteration With Application to Wind Turbine Control." IEEE Access 8, no. 99: 14565-14572.

Journal article
Published: 23 October 2019 in Energies
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With the increasing penetration of renewable energy, a weak grid with declining inertia and distorted voltage conditions becomes a significant problem for wind and solar energy integration. Grid frequency is prone to deviate from its nominal value. Grid voltages become more easily polluted by unbalanced and harmonic components. Grid synchronization technique, as a significant method used in wind and solar energy grid-connected converters, can easily become ineffective. As probably the most widespread grid synchronization technique, phase-locked loop (PLL) is required to detect the grid frequency and phase rapidly and precisely even under such undesired conditions. While the amount of filtering techniques can remove disturbances, they also deteriorate the dynamic performance of PLL, which may not meet the standard requirements of grid codes. The objective of this paper is to propose an effective PLL to tackle this challenge. The proposed PLL is based on quasi-type-1 PLL (QT1-PLL), which provides a good filtering capability by using a moving average filter (MAF). To accelerate the transient behavior when disturbance occurs, a modified delay signal cancellation (DSC) operator is proposed and incorporated into the filtering stage of QT1-PLL. By using modified DSCs and MAFs in a cascaded way, the settling time of the proposed method is reduced to around one cycle of grid fundamental frequency without degrading any disturbance rejection capability. To verify the performance, several test cases, which usually happen in high renewable penetrated power systems, are carried out to demonstrate the effectiveness of the proposed PLL.

ACS Style

Li; JunYou Yang; Weichun Ge; Bo Hu; Yang; Ge; Hu; Tie Li; Yunlu Li. A Modified DSC-Based Grid Synchronization Method for a High Renewable Penetrated Power System Under Distorted Voltage Conditions. Energies 2019, 12, 4040 .

AMA Style

Li, JunYou Yang, Weichun Ge, Bo Hu, Yang, Ge, Hu, Tie Li, Yunlu Li. A Modified DSC-Based Grid Synchronization Method for a High Renewable Penetrated Power System Under Distorted Voltage Conditions. Energies. 2019; 12 (21):4040.

Chicago/Turabian Style

Li; JunYou Yang; Weichun Ge; Bo Hu; Yang; Ge; Hu; Tie Li; Yunlu Li. 2019. "A Modified DSC-Based Grid Synchronization Method for a High Renewable Penetrated Power System Under Distorted Voltage Conditions." Energies 12, no. 21: 4040.

Journal article
Published: 01 March 2019 in Energies
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In order to reduce the pollution caused by coal-fired generating units during the heating season, and promote the wind power accommodation, an electrical and thermal system dispatch model based on combined heat and power (CHP) with thermal energy storage (TES) and demand response (DR) is proposed. In this model, the emission cost of CO2, SO2, NOx, and the operation cost of desulfurization and denitrification units is considered as environmental cost, which will increase the proportion of the fuel cost in an economic dispatch model. Meanwhile, the fuel cost of generating units, the operation cost and investment cost of thermal energy storage and electrical energy storage, the incentive cost of DR, and the cost of wind curtailment are comprehensively considered in this dispatch model. Then, on the promise of satisfying the load demand, taking the minimum total cost as an objective function, the power of each unit is optimized by a genetic algorithm. Compared with the traditional dispatch model, in which the environmental cost is not considered, the numerical results show that the daily average emissions CO2, SO2, NOx, are decreased by 14,354.35 kg, 55.5 kg, and 47.15 kg, respectively, and the wind power accommodation is increased by an average of 6.56% in a week.

ACS Style

Weidong Li; Tie Li; Haixin Wang; Jian Dong; Yunlu Li; Dai Cui; Weichun Ge; JunYou Yang; Martin Onyeka Okoye. Optimal Dispatch Model Considering Environmental Cost Based on Combined Heat and Power with Thermal Energy Storage and Demand Response. Energies 2019, 12, 817 .

AMA Style

Weidong Li, Tie Li, Haixin Wang, Jian Dong, Yunlu Li, Dai Cui, Weichun Ge, JunYou Yang, Martin Onyeka Okoye. Optimal Dispatch Model Considering Environmental Cost Based on Combined Heat and Power with Thermal Energy Storage and Demand Response. Energies. 2019; 12 (5):817.

Chicago/Turabian Style

Weidong Li; Tie Li; Haixin Wang; Jian Dong; Yunlu Li; Dai Cui; Weichun Ge; JunYou Yang; Martin Onyeka Okoye. 2019. "Optimal Dispatch Model Considering Environmental Cost Based on Combined Heat and Power with Thermal Energy Storage and Demand Response." Energies 12, no. 5: 817.

Journal article
Published: 21 January 2019 in IEEE Access
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In a wind-diesel system with weak network architecture, many techniques are utilized to enhance its stability. However, frequency oscillation between grid-side converter (GSC) and diesel generator may be caused by their interactions, and there are only a few studies considering this issue, which is a major challenge for the stability. To tackle this challenge, the cause of frequency oscillation is studied, and an adaptive fuzzy PI controller based on the variable universe is proposed to suppress oscillation in this paper. The control parameter of wind turbine generator (WTG) converter’s DC-link voltage loop and wind speed have an important influence on the oscillation. Our main idea is to suppress frequency oscillation by optimizing control parameter. In order to analyze the interaction between WTG and diesel generator, we develop small-signal models of the wind-diesel generator. Subsequently, adaptive fuzzy PI controller based on the variable universe is proposed in DC-link voltage loop to optimize control parameter instead of gain scheduled PI (GSPI) controller, and its key feature is the innovative use of an extension factor with d-axis current in the output universe. The function of the extension factor is to adapt WTG to different wind speeds. Experimental results demonstrate that the proposed controller can significantly suppress frequency oscillation. Oscillation amplitude of isolated grid frequency is also significantly reduced by up to 0.175 Hz.

ACS Style

Haixin Wang; JunYou Yang; Zhe Chen; Weichun Ge; Yunlu Li; Yiming Ma; Jian Dong; Martin Onyeka Okoye; Lijian Yang. Analysis and Suppression for Frequency Oscillation in a Wind-Diesel System. IEEE Access 2019, 7, 22818 -22828.

AMA Style

Haixin Wang, JunYou Yang, Zhe Chen, Weichun Ge, Yunlu Li, Yiming Ma, Jian Dong, Martin Onyeka Okoye, Lijian Yang. Analysis and Suppression for Frequency Oscillation in a Wind-Diesel System. IEEE Access. 2019; 7 (99):22818-22828.

Chicago/Turabian Style

Haixin Wang; JunYou Yang; Zhe Chen; Weichun Ge; Yunlu Li; Yiming Ma; Jian Dong; Martin Onyeka Okoye; Lijian Yang. 2019. "Analysis and Suppression for Frequency Oscillation in a Wind-Diesel System." IEEE Access 7, no. 99: 22818-22828.

Journal article
Published: 17 September 2018 in Energies
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In renewable energy generation applications, phase locked loop (PLL) is one of the most popular grid synchronization technique. The main objective of PLL is to rapidly and precisely extract phase and frequency especially when the grid voltage is under non-ideal conditions. This motivates the recent development of moving average filters (MAFs) based PLL in a quasi-type-1 system (i.e., QT1-PLL). Despite its success in certain applications, the transient response is still unsatisfactory, mainly due to the fact that the time delay caused by MAFs is still large. This has significantly limited the utilization of QT1-PLL, according to common grid codes such as German and Spanish grid codes. This challenge has been tackled in this paper. The basic idea is to develop a new hybrid filtering stage, consisting of adaptive notch filters (ANFs) and MAFs, arranged at the inner loop of QT1-PLL. Such an idea can greatly improve the transient response of QT1-PLL, owing to the fact that ANFs are utilized to remove the fundamental frequency negative voltage sequence (FFNS) component while other dominant harmonics can be removed by MAFs with a small time delay. By applying the proposed technique, the settling time is reduced to less than one cycle of grid frequency without any degradation in filtering capability. Moreover, the proposed PLL can be easily expanded to handle dc offset rejection. The effectiveness is validated by comprehensive experiments.

ACS Style

Yunlu Li; JunYou Yang; Haixin Wang; Weichun Ge; Yiming Ma. Leveraging Hybrid Filter for Improving Quasi-Type-1 Phase Locked Loop Targeting Fast Transient Response. Energies 2018, 11, 2472 .

AMA Style

Yunlu Li, JunYou Yang, Haixin Wang, Weichun Ge, Yiming Ma. Leveraging Hybrid Filter for Improving Quasi-Type-1 Phase Locked Loop Targeting Fast Transient Response. Energies. 2018; 11 (9):2472.

Chicago/Turabian Style

Yunlu Li; JunYou Yang; Haixin Wang; Weichun Ge; Yiming Ma. 2018. "Leveraging Hybrid Filter for Improving Quasi-Type-1 Phase Locked Loop Targeting Fast Transient Response." Energies 11, no. 9: 2472.

Journal article
Published: 21 June 2018 in Energies
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Frequency stability in an isolated grid can be easily impacted by sudden load or wind speed changes. Many frequency regulation techniques are utilized to solve this problem. However, there are only few studies designing torque compensation controllers based on power performances in different Speed Parts. It is a major challenge for a wind turbine generator (WTG) to achieve the satisfactory compensation performance in different Speed Parts. To tackle this challenge, this paper proposes a gain scheduled torque compensation strategy for permanent magnet synchronous generator (PMSG) based wind turbines. Our main idea is to improve the anti-disturbance ability for frequency regulation by compensating torque based on WTG speed Parts. To achieve higher power reserve in each Speed Part, an enhanced deloading method of WTG is proposed. We develop a new small-signal dynamic model through analyzing the steady-state performances of deloaded WTG in the whole range of wind speed. Subsequently, H∞ theory is leveraged in designing the gain scheduled torque compensation controller to effectively suppress frequency fluctuation. Moreover, since torque compensation brings about untimely power adjustment in over-rated wind speed condition, the conventional speed reference of pitch control system is improved. Our simulation and experimental results demonstrate that the proposed strategy can significantly improve frequency stability and smoothen power fluctuation resulting from wind speed variations. The minimum of frequency deviation with the proposed strategy is improved by up to 0.16 Hz at over-rated wind speed. Our technique can also improve anti-disturbance ability in frequency domain and achieve power balance.

ACS Style

Haixin Wang; JunYou Yang; Zhe Chen; Weichun Ge; Shiyan Hu; Yiming Ma; Yunlu Li; Guanfeng Zhang; Lijian Yang. Gain Scheduled Torque Compensation of PMSG-Based Wind Turbine for Frequency Regulation in an Isolated Grid. Energies 2018, 11, 1623 .

AMA Style

Haixin Wang, JunYou Yang, Zhe Chen, Weichun Ge, Shiyan Hu, Yiming Ma, Yunlu Li, Guanfeng Zhang, Lijian Yang. Gain Scheduled Torque Compensation of PMSG-Based Wind Turbine for Frequency Regulation in an Isolated Grid. Energies. 2018; 11 (7):1623.

Chicago/Turabian Style

Haixin Wang; JunYou Yang; Zhe Chen; Weichun Ge; Shiyan Hu; Yiming Ma; Yunlu Li; Guanfeng Zhang; Lijian Yang. 2018. "Gain Scheduled Torque Compensation of PMSG-Based Wind Turbine for Frequency Regulation in an Isolated Grid." Energies 11, no. 7: 1623.

Journal article
Published: 01 May 2018 in Energies
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Traveling-wave-based fault location methods are widely used for modern power systems owing to their high accuracy on two-terminal lines. However, they perform poorly on hybrid multi-terminal lines. Many traveling-wave-based methods have been developed recently to solve this problem, but they have high computational burdens and complex fault location procedures. To tackle this challenge, a new fault location method is presented in this paper. First, to ensure that the implementation of the proposed method is not affected by different line parameters, a normalization algorithm is used for hybrid multi-terminal lines, which consist of overhead lines and cables. To reduce the complexity, a novel fault section identification method that depends only on the first three arrival times is applied to separate a three-terminal fault section from the multi-terminal lines. Consequently, the fault can be located using a corresponding two-terminal fault location method in this fault section. To verify its effectiveness, fault case studies and performance evaluations are performed in the PSCAD and MATLAB/Simulink environment. The simulation results reveal that the proposed method can correctly identify the fault section and accurately locate the faults, which is simple and suitable for hybrid multi-terminal lines.

ACS Style

Yi Ning; Dazhi Wang; Yunlu Li; Haixin Zhang. Location of Faulty Section and Faults in Hybrid Multi-Terminal Lines Based on Traveling Wave Methods. Energies 2018, 11, 1105 .

AMA Style

Yi Ning, Dazhi Wang, Yunlu Li, Haixin Zhang. Location of Faulty Section and Faults in Hybrid Multi-Terminal Lines Based on Traveling Wave Methods. Energies. 2018; 11 (5):1105.

Chicago/Turabian Style

Yi Ning; Dazhi Wang; Yunlu Li; Haixin Zhang. 2018. "Location of Faulty Section and Faults in Hybrid Multi-Terminal Lines Based on Traveling Wave Methods." Energies 11, no. 5: 1105.

Journal article
Published: 18 April 2018 in Energies
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In most grid-connected power converter applications, the phase-locked loop (PLL) is probably the most widespread grid synchronization technique, owing to its simple implementation. However, its phase-tracking performance tends to worsen when the grid voltage is under unbalanced and distorted conditions. Many filtering techniques are utilized to solve this problem, however, at the cost of slowing down the transient response. It is a major challenge for PLL to achieve a satisfactory dynamic performance without degrading its filtering capability. To tackle this challenge, a hybrid filtering technique is proposed in this paper. Our idea is to eliminate the fundamental frequency negative sequence (FFNS) and other harmonic sequences at the prefiltering stage and inner loop of PLL, respectively. Second-order generalized integrators (SOGIs) are used to remove FFNS before the Park transformation. This makes moving average filters (MAFs) eliminate other harmonics with a narrowed window length, which means the time delay that is caused by MAFs is reduced. The entire hybrid filtering technique is included in a quasi-type-1 PLL structure (QT1-PLL), which can provide a rapid dynamic behavior. The small-signal model of the proposed PLL is established. Based on this model, the parameter design guidelines targeting the fast transient response are given. Comprehensive experiments are carried out to confirm the effectiveness of our method. The results show that the settling time of the proposed PLL is less than one grid cycle, which is shorter than most of the widespread PLLs. The harmonic rejection capability is also better than other methods, under both nominal and adverse grid conditions.

ACS Style

Yunlu Li; JunYou Yang; Haixin Wang; Weichun Ge; Yiming Ma. A Hybrid Filtering Technique-Based PLL Targeting Fast and Robust Tracking Performance under Distorted Grid Conditions. Energies 2018, 11, 973 .

AMA Style

Yunlu Li, JunYou Yang, Haixin Wang, Weichun Ge, Yiming Ma. A Hybrid Filtering Technique-Based PLL Targeting Fast and Robust Tracking Performance under Distorted Grid Conditions. Energies. 2018; 11 (4):973.

Chicago/Turabian Style

Yunlu Li; JunYou Yang; Haixin Wang; Weichun Ge; Yiming Ma. 2018. "A Hybrid Filtering Technique-Based PLL Targeting Fast and Robust Tracking Performance under Distorted Grid Conditions." Energies 11, no. 4: 973.

Journal article
Published: 02 April 2018 in IEEE Access
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Synchronous reference frame phase locked loop (SRF-PLL) is widely used for grid synchronization and control in grid-connected applications. A major problem with SRF-PLL is how to improve its dynamic performance and filtering capability under complex grid conditions such as unbalance, distortion, and dc offset mixing without affecting its phase tracking performance and stability. In order to achieve this goal, a novel second-order generalized integrator (NSOGI) and a modified NSOGI (MNSOGI) with dc offset rejection capability based on NSOGI are proposed, and then, an effective hybrid filter is designed and incorporated into the inner loop of a SRF-PLL. The proposed hybrid filter is a combination of a dual MNSOGI and a moving average filter (MAF), it can block the fundamental frequency negative sequence component, dc offset component, and the rest of harmonic components in the SRF-PLL input three-phase voltages at the same time with a simple complexity. The proposed PLL in this paper has a faster transient response due to reducing the window length of the MAF. A small-signal model of the proposed PLL is derived. The stability is analyzed, and parameters design guidelines are given. The effectiveness of the proposed PLL is confirmed through simulation experimental results.

ACS Style

Nanmu Hui; Dazhi Wang; Yunlu Li. A Novel Hybrid Filter-Based PLL to Eliminate Effect of Input Harmonics and DC Offset. IEEE Access 2018, 6, 19762 -19773.

AMA Style

Nanmu Hui, Dazhi Wang, Yunlu Li. A Novel Hybrid Filter-Based PLL to Eliminate Effect of Input Harmonics and DC Offset. IEEE Access. 2018; 6 ():19762-19773.

Chicago/Turabian Style

Nanmu Hui; Dazhi Wang; Yunlu Li. 2018. "A Novel Hybrid Filter-Based PLL to Eliminate Effect of Input Harmonics and DC Offset." IEEE Access 6, no. : 19762-19773.

Journal article
Published: 21 March 2018 in Energies
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Synchronous-reference-frame phase-locked loop (SRF-PLL) is widely used in grid synchronization applications. However, under unbalanced, distorted and DC offset mixed grid conditions, its performance tends to worsen. In order to improve the filtering capability of SRF-PLL, a modified three-order generalized integrator (MTOGI) with DC offset rejection capability based on conventional three order generalized integrator (TOGI) and an enhanced delayed signal cancellation (EDSC) are proposed, then dual modified TOGI (DMTOGI) filtering stage is designed and incorporated into the SRF-PLL control loop with EDSC to form a new hybrid filter-based PLL. The proposed PLL can reject the fundamental frequency negative sequence (FFNS) component, DC offset component, and the rest of harmonic components in SRF-PLL input three-phase voltages at the same time with a simple complexity. The proposed PLL in this paper has a faster transient response due to the EDSC reducing the number of DSC operators. A small-signal model of the proposed PLL is derived. The stability is analyzed and parameter design guidelines are given. Experimental results are included to validate the effectiveness and robustness of the proposed PLL.

ACS Style

Nanmu Hui; Dazhi Wang; Yunlu Li. An Efficient Hybrid Filter-Based Phase-Locked Loop under Adverse Grid Conditions. Energies 2018, 11, 703 .

AMA Style

Nanmu Hui, Dazhi Wang, Yunlu Li. An Efficient Hybrid Filter-Based Phase-Locked Loop under Adverse Grid Conditions. Energies. 2018; 11 (4):703.

Chicago/Turabian Style

Nanmu Hui; Dazhi Wang; Yunlu Li. 2018. "An Efficient Hybrid Filter-Based Phase-Locked Loop under Adverse Grid Conditions." Energies 11, no. 4: 703.

Journal article
Published: 27 July 2017 in IEEE Access
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The active vector effects on torque and flux linkage are different in interior permanent magnet synchronous motor (IPMSM) systems at different times under direct torque control (DTC). These different effects may cause overcompensation or undercompensation to torque and flux linkage leading to large torque and flux linkage ripples in the IPMSM DTC systems. A novel duty ratio modulation strategy for the IPMSM DTC systems is presented, which considers these differences that are ignored in conventional duty ratio modulation strategies. The proposed duty ratio modulation strategy aims at minimizing torque ripple and flux linkage ripple, which makes sure that the control system can work in an optimum state. The active angle, the impact angle, the active factor, and the impact factor are first introduced. The active angel and the impact angle are used to get the active factor and the impact factor, respectively. Every sector is divided into five small sectors based on the impact angels, and then, a switching table is redesigned according to the small sectors division. Also, the vector selection rules for the redesigned switching table are described in details. Subsequently, an optimal duty ratio can be derived through the simplified duty ratio determination method. Finally, the effectiveness of the proposed novel modulation strategy is verified through the experimental results on a 100-W IPMSM drive system.

ACS Style

Tianqing Yuan; Dazhi Wang; Xinghua Wang; Xingyu Wang; Yunlu Li; XiaoMing Yan; Sen Tan; Shuai Zhou. Duty Ratio Modulation Strategy to Minimize Torque and Flux Linkage Ripples in IPMSM DTC Systems. IEEE Access 2017, 5, 14323 -14332.

AMA Style

Tianqing Yuan, Dazhi Wang, Xinghua Wang, Xingyu Wang, Yunlu Li, XiaoMing Yan, Sen Tan, Shuai Zhou. Duty Ratio Modulation Strategy to Minimize Torque and Flux Linkage Ripples in IPMSM DTC Systems. IEEE Access. 2017; 5 ():14323-14332.

Chicago/Turabian Style

Tianqing Yuan; Dazhi Wang; Xinghua Wang; Xingyu Wang; Yunlu Li; XiaoMing Yan; Sen Tan; Shuai Zhou. 2017. "Duty Ratio Modulation Strategy to Minimize Torque and Flux Linkage Ripples in IPMSM DTC Systems." IEEE Access 5, no. : 14323-14332.

Journal article
Published: 11 October 2016 in IEEE Access
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The synchronous reference frame phase-locked loop (SRF-PLL) is widely used for synchronization applications. However, it suffers from a poor performance under unbalanced and distorted grid conditions. To improve the filtering capability of SRF-PLL, moving average filter (MAF) is incorporated into its control loop at the cost of a slow transient response of PLL in recently published literature. To further improve their dynamic performance without compromising the disturbance rejection capability and stability, a novel PLL based on quasi-type-1 PLL structure is proposed in this paper. A complex notch filter is incorporated into the QT1-PLL to eliminate the fundamental frequency negative sequence voltage component. The window length of MAF in QT1-PLL is reduced. And MAF is responsible for rejecting the rest of harmonics. Parameter design guidelines are suggested to obtain the minimum settling time for both phase jump and frequency jump. The proposed PLL provides a faster transient response with higher stability margins. The effectiveness of the proposed PLL is confirmed through simulation and experimental results and comparison with advanced PLLs.

ACS Style

Yunlu Li; Dazhi Wang; Wei Han; Sen Tan; Xifeng Guo. Performance Improvement of Quasi-Type-1 PLL by using a Complex Notch Filter. IEEE Access 2016, 4, 6272 -6282.

AMA Style

Yunlu Li, Dazhi Wang, Wei Han, Sen Tan, Xifeng Guo. Performance Improvement of Quasi-Type-1 PLL by using a Complex Notch Filter. IEEE Access. 2016; 4 ():6272-6282.

Chicago/Turabian Style

Yunlu Li; Dazhi Wang; Wei Han; Sen Tan; Xifeng Guo. 2016. "Performance Improvement of Quasi-Type-1 PLL by using a Complex Notch Filter." IEEE Access 4, no. : 6272-6282.