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This paper proposes a novel real-time adaptive under voltage load shedding (UVLS) method by using optimized fuzzy logic controllers to address fault-induced delayed voltage recovery (FIDVR) and short-term voltage instability (STVIS) problems. An intelligent multi-input multi-output fuzzy logic load shedding controller is developed based on a short-term voltage recovery criterion (STVRC). For the controller, the magnitude deviation and the recovery time deviation of voltage trajectory are extracted as inputs, while the load shedding amount at the current load shedding stage and the time delay of the next stage are taken as outputs. Particle swarm optimization (PSO) technique is further employed for the tuning of the controller parameters to realize the voltage recovery requirement at the lowest cost of load shedding. The proposed UVLS method is formed by a group of the fuzzy logic controllers deployed at the load buses, each monitoring its own bus voltage and shedding load in closed-loop. Responding to the severity of voltage variations, the proposed method is able to adaptively determine the location, time and amount of load shedding in real-time to make the voltage satisfy the STVRC. The effectiveness of the proposed method compared to other methods is testified by simulations on the Nordic test system.
Hao Yang; Ning Li; Z.L. Sun; Dawei Huang; Deyou Yang; Guowei Cai; Chuang Liu; Tingting Zhang; Wen Zhang. Real-time Adaptive UVLS by Optimized Fuzzy Controllers for Short-Term Voltage Stability Control. IEEE Transactions on Power Systems 2021, PP, 1 -1.
AMA StyleHao Yang, Ning Li, Z.L. Sun, Dawei Huang, Deyou Yang, Guowei Cai, Chuang Liu, Tingting Zhang, Wen Zhang. Real-time Adaptive UVLS by Optimized Fuzzy Controllers for Short-Term Voltage Stability Control. IEEE Transactions on Power Systems. 2021; PP (99):1-1.
Chicago/Turabian StyleHao Yang; Ning Li; Z.L. Sun; Dawei Huang; Deyou Yang; Guowei Cai; Chuang Liu; Tingting Zhang; Wen Zhang. 2021. "Real-time Adaptive UVLS by Optimized Fuzzy Controllers for Short-Term Voltage Stability Control." IEEE Transactions on Power Systems PP, no. 99: 1-1.
Inter-area transfer power is a key factor affecting the damping of electromechanical oscillation. This paper presents an output-only based inter-area transfer capability (ITC) assessment method considering small signal stability constraint. Based on the construction of an equivalent two-machine system (ETmS) of an interconnected power grid, the measurements-based approach for estimating the parameters of the ETmS was studied. Then, we developed an optimization model with a maximum ITC target and damping as constraint. Under the premise of using recursive adaptive stochastic subspace identification (RASSI) to extract the oscillation modes (frequency and damping) from the ambient data, the optimization model was solved by employing the particle swarm optimization (PSO) algorithm. The effectiveness of the proposed approach was demonstrated using numerical simulations on the IEEE 16-machine 68-bus test system and measured data from a real system.
D. Y. Yang; Lixin Wang; Guowei Cai; Zhe Chen; Jin Ma; Bo Wang; Zhenglong Sun. Synchronized Ambient Output-Only Based Online Inter-Area Transfer Capability Assessment Considering Small Signal Stability. IEEE Transactions on Power Systems 2020, 36, 261 -270.
AMA StyleD. Y. Yang, Lixin Wang, Guowei Cai, Zhe Chen, Jin Ma, Bo Wang, Zhenglong Sun. Synchronized Ambient Output-Only Based Online Inter-Area Transfer Capability Assessment Considering Small Signal Stability. IEEE Transactions on Power Systems. 2020; 36 (1):261-270.
Chicago/Turabian StyleD. Y. Yang; Lixin Wang; Guowei Cai; Zhe Chen; Jin Ma; Bo Wang; Zhenglong Sun. 2020. "Synchronized Ambient Output-Only Based Online Inter-Area Transfer Capability Assessment Considering Small Signal Stability." IEEE Transactions on Power Systems 36, no. 1: 261-270.
Refined estimation of inertia can provide a reliable basis for power system operation and control. This paper proposes a data-driven approach for the estimation of inertia, which can estimate the effective inertia of different areas. Based on the theory of eigenstructure analysis, the intrinsic relationship between inertia, eigenvalue and eigenvector was analyzed using a linearized dynamic equation. Furthermore, a detailed mathematical expression between inertia and eigenvalues, eigenvectors was established. In addition, dynamic mode decomposition (DMD) was introduced to extract eigenvalues and eigenvectors from the synchronized measurements, which can ensure that the scheme proposed in this paper can realize the estimation of effective inertia by using only the outputs measured by PMU. The effectiveness of the proposed approach was demonstrated through numerical simulations on the IEEE 16-machine 5-area test system and the real measurements of an actual power system.
Deyou Yang; Bo Wang; Guowei Cai; Zhe Chen; Jin Ma; Zhenglong Sun; Lixin Wang. Data-Driven Estimation of Inertia for Multiarea Interconnected Power Systems Using Dynamic Mode Decomposition. IEEE Transactions on Industrial Informatics 2020, 17, 2686 -2695.
AMA StyleDeyou Yang, Bo Wang, Guowei Cai, Zhe Chen, Jin Ma, Zhenglong Sun, Lixin Wang. Data-Driven Estimation of Inertia for Multiarea Interconnected Power Systems Using Dynamic Mode Decomposition. IEEE Transactions on Industrial Informatics. 2020; 17 (4):2686-2695.
Chicago/Turabian StyleDeyou Yang; Bo Wang; Guowei Cai; Zhe Chen; Jin Ma; Zhenglong Sun; Lixin Wang. 2020. "Data-Driven Estimation of Inertia for Multiarea Interconnected Power Systems Using Dynamic Mode Decomposition." IEEE Transactions on Industrial Informatics 17, no. 4: 2686-2695.
Using a doubly-fed induction generator (DFIG), with an additional active or reactive damping controller, is a new method of suppressing the inter-area oscillation of a power system. However, using active power modulation (APM) may decrease the damping of the shaft oscillation mode of a DFIG and the system damping target cannot be achieved through reactive power modulation (RPM) in some cases. Either single APM or RPM does not consider system damping and torsional damping simultaneously. In this paper, an active-reactive coordinated dual-channel power modulation (DCPM) damping controller is proposed for DFIGs. First, considering the electromechanical parts and control structure of the wind turbine, an electromechanical transient model and an additional damping controller model of DFIGs are established. Then, the dynamic objective function for coordinating the parameters of the additional damping controller is proposed. The ratio between the active power channel and reactive power channel modulation is derived from the parameters optimized by the particle swarm optimization algorithm. Finally, the effectiveness and practicability of the designed strategy is verified by comparing it with a traditional, simple damping controller design strategy. Standard simulation system examples are used in the comparison. Results show that the DCPM is better at maximizing the damping control capability of the rotor-side controller of a DFIG and simultaneously minimizing adverse effects on torsional damping than the traditional strategy.
Guowei Cai; Xiangsong Chen; Zhenglong Sun; Deyou Yang; Cheng Liu; Haobo Li; Cai; Chen; Sun; Yang; Liu; Li. A Coordinated Dual-Channel Wide Area Damping Control Strategy for a Doubly-Fed Induction Generator Used for Suppressing Inter-Area Oscillation. Applied Sciences 2019, 9, 2353 .
AMA StyleGuowei Cai, Xiangsong Chen, Zhenglong Sun, Deyou Yang, Cheng Liu, Haobo Li, Cai, Chen, Sun, Yang, Liu, Li. A Coordinated Dual-Channel Wide Area Damping Control Strategy for a Doubly-Fed Induction Generator Used for Suppressing Inter-Area Oscillation. Applied Sciences. 2019; 9 (11):2353.
Chicago/Turabian StyleGuowei Cai; Xiangsong Chen; Zhenglong Sun; Deyou Yang; Cheng Liu; Haobo Li; Cai; Chen; Sun; Yang; Liu; Li. 2019. "A Coordinated Dual-Channel Wide Area Damping Control Strategy for a Doubly-Fed Induction Generator Used for Suppressing Inter-Area Oscillation." Applied Sciences 9, no. 11: 2353.
The inertia constant is a key parameter of synchronous grids that are robust to disturbances. This paper presents an inertia estimation method for a multi-area interconnected electric power system. The method utilizes the electromechanical oscillation response measured with a phasor measurement unit. On the basis of the classical swing equation, the mathematical relationships between inertia and electromechanical oscillation parameters (i.e., oscillation frequency and damping ratio of a mode) are determined. The equivalent inertia of the system can be estimated by extracting the frequency and damping ratio of a mode from the observed active power on the tie line in the electromechanical oscillation response. Moreover, the system damping coefficient can be estimated without additional calculation and measurement. The inertia estimation errors caused by the poor extraction of oscillation parameters are reduced by utilizing the advanced parameter identification technology called adaptive local iterative filtering decomposition to identify the frequency and damping ratio of a mode. The accuracy and robustness of the proposed method are verified by using two simulation examples and an actual system.
Guowei Cai; Bo Wang; Deyou Yang; Zhenglong Sun; Lixin Wang. Inertia Estimation Based on Observed Electromechanical Oscillation Response for Power Systems. IEEE Transactions on Power Systems 2019, 34, 4291 -4299.
AMA StyleGuowei Cai, Bo Wang, Deyou Yang, Zhenglong Sun, Lixin Wang. Inertia Estimation Based on Observed Electromechanical Oscillation Response for Power Systems. IEEE Transactions on Power Systems. 2019; 34 (6):4291-4299.
Chicago/Turabian StyleGuowei Cai; Bo Wang; Deyou Yang; Zhenglong Sun; Lixin Wang. 2019. "Inertia Estimation Based on Observed Electromechanical Oscillation Response for Power Systems." IEEE Transactions on Power Systems 34, no. 6: 4291-4299.
The harmonic pollution problem in power grids has become increasingly prominent with the large-scale application of power electronic equipment, nonlinear loads, and renewable energy. This study proposes a method based on adaptive variational mode decomposition (AVMD) and Hilbert transform (HT) that is applicable to harmonic detection in power system. The AVMD method constructs and solves the constrained variational model. Then, a single-frequency harmonic component with stable features can be obtained. The proposed method can effectively avoid the recursive process in empirical mode decomposition (EMD). In this study, the variational mode decomposition algorithm is used to obtain the periodic harmonic components concurrently. Subsequently, the characteristic parameters of each harmonic component are extracted via HT. Simulation analysis and measured data verify the validity and feasibility of the proposed algorithm. Compared with the detection results obtained using the EMD algorithm, the proposed method is proven to exhibit stronger applicability to harmonic detection in power system.
Guowei Cai; Lixin Wang; Deyou Yang; Zhenglong Sun; Bo Wang. Harmonic Detection for Power Grids Using Adaptive Variational Mode Decomposition. Energies 2019, 12, 232 .
AMA StyleGuowei Cai, Lixin Wang, Deyou Yang, Zhenglong Sun, Bo Wang. Harmonic Detection for Power Grids Using Adaptive Variational Mode Decomposition. Energies. 2019; 12 (2):232.
Chicago/Turabian StyleGuowei Cai; Lixin Wang; Deyou Yang; Zhenglong Sun; Bo Wang. 2019. "Harmonic Detection for Power Grids Using Adaptive Variational Mode Decomposition." Energies 12, no. 2: 232.
Zhenglong Sun; Guowei Cai; Deyou Yang; Cheng Liu. Application of power system energy structures to track dominated oscillation paths and generator damping contribution during low-frequency oscillations. International Journal of Electrical Power & Energy Systems 2019, 104, 52 -68.
AMA StyleZhenglong Sun, Guowei Cai, Deyou Yang, Cheng Liu. Application of power system energy structures to track dominated oscillation paths and generator damping contribution during low-frequency oscillations. International Journal of Electrical Power & Energy Systems. 2019; 104 ():52-68.
Chicago/Turabian StyleZhenglong Sun; Guowei Cai; Deyou Yang; Cheng Liu. 2019. "Application of power system energy structures to track dominated oscillation paths and generator damping contribution during low-frequency oscillations." International Journal of Electrical Power & Energy Systems 104, no. : 52-68.
A new generator phasor measurement unit (PMU) can provide a generator internal response during transient periods, thereby enabling online evaluation of generator damping in detail. In this paper, a method for the online detailed evaluation of the generator damping contribution during oscillation periods based on the damping loss factor (DLF) and multi-scale chirplet sparse signal decomposition (MCSSD) is proposed. First, the DLF in a simple elastic oscillation system, which can be used to quantitatively evaluate the damping characteristics of components, is introduced. After analyzing the feasibility of using the DLF during low-frequency oscillation, the generator damping loss factor (GDLF) is established to quantitatively evaluate the generator damping contribution, including the effects of the excitation system, governor system, and generator winding. Next, the modal composition of the generator dissipation energy is studied to extend the application of the GDLF to a multi-machine power system. Finally, a method for the online evaluation of generator damping during low-frequency oscillation based on the GDLF and MCSSD is presented. The proposed method is examined in detail using a single-machine infinite-bus system and then further demonstrated by applying it to a practical power system with multiple electromechanical oscillations.
Zhenglong Sun; Guowei Cai; Deyou Yang; Cheng Liu; Bo Wang; Lixin Wang. A Method for the Evaluation of Generator Damping During Low-Frequency Oscillations. IEEE Transactions on Power Systems 2018, 34, 109 -119.
AMA StyleZhenglong Sun, Guowei Cai, Deyou Yang, Cheng Liu, Bo Wang, Lixin Wang. A Method for the Evaluation of Generator Damping During Low-Frequency Oscillations. IEEE Transactions on Power Systems. 2018; 34 (1):109-119.
Chicago/Turabian StyleZhenglong Sun; Guowei Cai; Deyou Yang; Cheng Liu; Bo Wang; Lixin Wang. 2018. "A Method for the Evaluation of Generator Damping During Low-Frequency Oscillations." IEEE Transactions on Power Systems 34, no. 1: 109-119.
In this paper, a robust online approach based on wavelet transform and matrix pencil (WTMP) is proposed to extract the dominant oscillation mode and parameters (frequency, damping, and mode shape) of a power system from wide-area measurements. For accurate and robust extraction of parameters, WTMP is verified as an effective identification algorithm for output-only modal analysis. First, singular value decomposition (SVD) is used to reduce the covariance signals obtained by natural excitation technique. Second, the orders and range of the corresponding frequency are determined by SVD from positive power spectrum matrix. Finally, the modal parameters are extracted from each mode of reduced signals using the matrix pencil algorithm in different frequency ranges. Compared with the original algorithm, the advantage of the proposed method is that it reduces computation data size and can extract mode shape. The effectiveness of the scheme, which is used for accurate extraction of the dominant oscillation mode and its parameters, is thoroughly studied and verified using the response signal data generated from 4-generator 2-area and 16-generator 5-area test systems.
Cheng Liu; Guowei Cai; Deyou Yang; Zhenglong Sun. Extraction and Analysis of Inter-area Oscillation Using Improved Multi-signal Matrix Pencil Algorithm Based on Data Reduction in Power System. ENERGYO 2018, 1 .
AMA StyleCheng Liu, Guowei Cai, Deyou Yang, Zhenglong Sun. Extraction and Analysis of Inter-area Oscillation Using Improved Multi-signal Matrix Pencil Algorithm Based on Data Reduction in Power System. ENERGYO. 2018; ():1.
Chicago/Turabian StyleCheng Liu; Guowei Cai; Deyou Yang; Zhenglong Sun. 2018. "Extraction and Analysis of Inter-area Oscillation Using Improved Multi-signal Matrix Pencil Algorithm Based on Data Reduction in Power System." ENERGYO , no. : 1.
In this paper, a line modal potential energy (LMPE) method is proposed for the inter-area oscillation analysis and damping control of doubly fed induction generators (DFIGs). This work presents a novel attempt to design the damping control loop using the LMPE approach from the network viewpoint. First, an LMPE function containing a DFIG output line is constructed. The distribution characteristics of the LMPE in a network are analyzed in different modes, and the dominant mode of the system is identified. In addition, this approach provides the basis for damping regulation. Second, the wide-area control signal and control locations are selected. Third, a damping controller for DFIGs based on LMPE and Extended State Observer-H$\infin$ control is designed, and this design is shown to have a certain anti-interference ability. The proposed method can be used for sub-mode analysis and oscillation suppression. Finally, the correctness of the LMPE method is verified through the analysis and simulation of a four-generator, two-area system and an actual power system in China.
Cheng Liu; Guowei Cai; Weichun Ge; Deyou Yang; Chuang Liu; Zhenglong Sun. Oscillation Analysis and Wide-Area Damping Control of DFIGs for Renewable Energy Power Systems Using Line Modal Potential Energy. IEEE Transactions on Power Systems 2018, 33, 3460 -3471.
AMA StyleCheng Liu, Guowei Cai, Weichun Ge, Deyou Yang, Chuang Liu, Zhenglong Sun. Oscillation Analysis and Wide-Area Damping Control of DFIGs for Renewable Energy Power Systems Using Line Modal Potential Energy. IEEE Transactions on Power Systems. 2018; 33 (3):3460-3471.
Chicago/Turabian StyleCheng Liu; Guowei Cai; Weichun Ge; Deyou Yang; Chuang Liu; Zhenglong Sun. 2018. "Oscillation Analysis and Wide-Area Damping Control of DFIGs for Renewable Energy Power Systems Using Line Modal Potential Energy." IEEE Transactions on Power Systems 33, no. 3: 3460-3471.
Sun Zhenglong; Cai Guowei; Wang Yuwei; Si Jiarong. A method for the design of UFLS schemes of regional power system using improved frequency response model. International Transactions on Electrical Energy Systems 2017, 27, e2365 .
AMA StyleSun Zhenglong, Cai Guowei, Wang Yuwei, Si Jiarong. A method for the design of UFLS schemes of regional power system using improved frequency response model. International Transactions on Electrical Energy Systems. 2017; 27 (9):e2365.
Chicago/Turabian StyleSun Zhenglong; Cai Guowei; Wang Yuwei; Si Jiarong. 2017. "A method for the design of UFLS schemes of regional power system using improved frequency response model." International Transactions on Electrical Energy Systems 27, no. 9: e2365.
The online identification of power system dominated inter-area oscillations interface based on the incremental energy function method is proposed in this paper. The dominant inter-area oscillations interface can be obtained by calculating branch oscillation potential energy, which is tie-line concentrated by oscillations energy. To get the oscillation energy caused by the different mechanism (free oscillation and forced oscillation), different fault position, different oscillation source. Power system dominated inter-area oscillations interface can be effectively obtained by proposed method, at the same time, dominated inter-area oscillations clusters also can be obtained. Finally, damping property of power system is effectively improved by configurating series damping controller in the dominant oscillation profile. The accuracy of the dominant oscillation interface identification is verified in this paper. At the same time, the proposed approach can also provides the basis for the configuration of damping control based on line.
Cheng Liu; Guowei Cai; Deyou Yang; Zhenglong Sun; Mingna Zhang. The Online Identification of Dominated Inter-area Oscillations Interface Based on the Incremental Energy Function in Power System. The Open Applied Informatics Journal 2016, 10, 88 -100.
AMA StyleCheng Liu, Guowei Cai, Deyou Yang, Zhenglong Sun, Mingna Zhang. The Online Identification of Dominated Inter-area Oscillations Interface Based on the Incremental Energy Function in Power System. The Open Applied Informatics Journal. 2016; 10 (1):88-100.
Chicago/Turabian StyleCheng Liu; Guowei Cai; Deyou Yang; Zhenglong Sun; Mingna Zhang. 2016. "The Online Identification of Dominated Inter-area Oscillations Interface Based on the Incremental Energy Function in Power System." The Open Applied Informatics Journal 10, no. 1: 88-100.
In this paper, a robust online approach based on wavelet transform and matrix pencil (WTMP) is proposed to extract the dominant oscillation mode and parameters (frequency, damping, and mode shape) of a power system from wide-area measurements. For accurate and robust extraction of parameters, WTMP is verified as an effective identification algorithm for output-only modal analysis. First, singular value decomposition (SVD) is used to reduce the covariance signals obtained by natural excitation technique. Second, the orders and range of the corresponding frequency are determined by SVD from positive power spectrum matrix. Finally, the modal parameters are extracted from each mode of reduced signals using the matrix pencil algorithm in different frequency ranges. Compared with the original algorithm, the advantage of the proposed method is that it reduces computation data size and can extract mode shape. The effectiveness of the scheme, which is used for accurate extraction of the dominant oscillation mode and its parameters, is thoroughly studied and verified using the response signal data generated from 4-generator 2-area and 16-generator 5-area test systems.
Cheng Liu; Guowei Cai; Deyou Yang; Zhenglong Sun. Extraction and Analysis of Inter-area Oscillation Using Improved Multi-signal Matrix Pencil Algorithm Based on Data Reduction in Power System. International Journal of Emerging Electric Power Systems 2016, 17, 435 -450.
AMA StyleCheng Liu, Guowei Cai, Deyou Yang, Zhenglong Sun. Extraction and Analysis of Inter-area Oscillation Using Improved Multi-signal Matrix Pencil Algorithm Based on Data Reduction in Power System. International Journal of Emerging Electric Power Systems. 2016; 17 (4):435-450.
Chicago/Turabian StyleCheng Liu; Guowei Cai; Deyou Yang; Zhenglong Sun. 2016. "Extraction and Analysis of Inter-area Oscillation Using Improved Multi-signal Matrix Pencil Algorithm Based on Data Reduction in Power System." International Journal of Emerging Electric Power Systems 17, no. 4: 435-450.
With utilizing higher penetration level of wind power, wind power is exerting an increasing influence on power systems. It is necessary to study the impact of wind power on small signal stability of power systems. Damping level of low frequency electromechanical oscillation mode (EOM) is significant for secure and stable operation of power systems. Using the method of eigenvalue analysis, the paper investigates the impact of different kinds of wind power generators on damping characteristic of EOM. Two small test power systems are first built to simplify theoretical analysis. Then, the impact of capacity of wind farm and operating point of different wind power generators are studied under the proposed test systems. Finally, an actual power system in China is used to analyze the damping characteristic of inter-area EOM with increasing penetration of wind power, which obtains the same conclusion with the test systems.
Zhenglong Sun; Guowei Cai; Deyou Yang; Maoke Tang. Impact of different wind power generators on small signal stability of power systems. 2015 Australasian Universities Power Engineering Conference (AUPEC) 2015, 1 -6.
AMA StyleZhenglong Sun, Guowei Cai, Deyou Yang, Maoke Tang. Impact of different wind power generators on small signal stability of power systems. 2015 Australasian Universities Power Engineering Conference (AUPEC). 2015; ():1-6.
Chicago/Turabian StyleZhenglong Sun; Guowei Cai; Deyou Yang; Maoke Tang. 2015. "Impact of different wind power generators on small signal stability of power systems." 2015 Australasian Universities Power Engineering Conference (AUPEC) , no. : 1-6.