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Dr. Shihong Miao
State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, Hubei Province, China

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0 Electrical Engineering
0 Energy Storage
0 microgrids
0 relay protection

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Journal article
Published: 27 August 2021 in International Journal of Electrical Power & Energy Systems
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The voltage swell (VS) in power system may require high voltage ride through (HVRT) of wind farms (WFs), and the detailed WF simulation model would need huge computational time, and thus is not be suitable for the analysis of HVRT dynamic behaviour of large-scale WFs. In this paper, a novel WF equivalent model with the required accuracy level for HVRT analysis is proposed. Firstly, multiscale entropies (MSEs) of the operational parameters in wind turbines (WTs) are calculated to represent their distinguishability in different HVRT processes, and the time series of several parameters which have obvious distinguishability are selected as the multi-view clustering indicators (CIs). To handle the multi-view CIs, a new clustering algorithm namely multi-view incremental transfer fuzzy C means (MVIT-FCM) is proposed. This algorithm integrates the transfer learning technique to increase the stability and accuracy of the WTs clustering. Also, the high-dimensionality of the time series based CIs and the consequent computational burden in clustering are considered, and an incremental technique is applied in MVIT-FCM to handle the large-scale WF modelling. A real WF system is used for case study. The results indicate that the multi-view CIs are very effective for increasing the equivalent accuracies. In addition, with the aid of incremental and transfer learning techniques, MVIT-FCM can acquire stable clustering results and handle large-scale WF accurately and efficiently.

ACS Style

Ji Han; Shihong Miao; Zhe Chen; Ziwen Liu; Yaowang Li; Weichen Yang; Haoran Yin; Di Zhang. A novel wind farm equivalent model for high voltage ride through analysis based on multi-view incremental transfer clustering. International Journal of Electrical Power & Energy Systems 2021, 135, 107527 .

AMA Style

Ji Han, Shihong Miao, Zhe Chen, Ziwen Liu, Yaowang Li, Weichen Yang, Haoran Yin, Di Zhang. A novel wind farm equivalent model for high voltage ride through analysis based on multi-view incremental transfer clustering. International Journal of Electrical Power & Energy Systems. 2021; 135 ():107527.

Chicago/Turabian Style

Ji Han; Shihong Miao; Zhe Chen; Ziwen Liu; Yaowang Li; Weichen Yang; Haoran Yin; Di Zhang. 2021. "A novel wind farm equivalent model for high voltage ride through analysis based on multi-view incremental transfer clustering." International Journal of Electrical Power & Energy Systems 135, no. : 107527.

Journal article
Published: 23 February 2021 in IEEE Systems Journal
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Fault diagnosis is important to stable operation of power systems, and the machine-learning-based fault-diagnosis models were widely studied because of their strong generalization ability. However, the model structures are generally designed according to the topology of power systems. Once there are changes in topology, the system fault characteristics might change, and the models structure and parameters are often required to be adjusted for applying to the new systems. To avoid frequent adjustment work of fault-diagnosis models when system topology changes, we propose a novel fault-diagnosis model for power systems. First, a new data preprocessing using gradient calculation and similarity assessment is presented, and the gradient similarities among the multichannel electrical signals are converted to the visualized similarity images, which are fed to the neural network for further processing. Second, the spatial pyramid pooling (SPP) and hashing classifier (HC) are used in the convolution neural network. With the aid of the SPP and HC techniques, the structure of the fault-diagnosis model can maintain unchanged even though there are topological changes in the power systems. To validate the effectiveness of the proposed model, several state-of-the-art fault-diagnosis models are used for comparison. The results show that the proposed model with unchanged structure is well performed in accuracy and noise immunity, and friendly to the parameters setting.

ACS Style

Ji Han; Shihong Miao; Yaowang Li; Weichen Yang; Haoran Yin. Fault Diagnosis of Power Systems Using Visualized Similarity Images and Improved Convolution Neural Networks. IEEE Systems Journal 2021, PP, 1 -12.

AMA Style

Ji Han, Shihong Miao, Yaowang Li, Weichen Yang, Haoran Yin. Fault Diagnosis of Power Systems Using Visualized Similarity Images and Improved Convolution Neural Networks. IEEE Systems Journal. 2021; PP (99):1-12.

Chicago/Turabian Style

Ji Han; Shihong Miao; Yaowang Li; Weichen Yang; Haoran Yin. 2021. "Fault Diagnosis of Power Systems Using Visualized Similarity Images and Improved Convolution Neural Networks." IEEE Systems Journal PP, no. 99: 1-12.

Journal article
Published: 03 October 2020 in Electric Power Systems Research
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Accurate faulted-phase classification for transmission lines is important to ensure the power systems security, and the machine learning-based methods were widely studied because of their strong generalization ability. However, these methods often require precise marking of fault occurring time. Also, existing methods face the challenges in real-world applications because they are trained using the laboratory samples. In this paper, we propose a novel faulted-phase classification model for the transmission lines. First, the gradient similarities among multi-channel electrical signals are converted to the proposed gradient similarity-based images (GS-images), which are used as the input of neural network. With the aid of this conversion, the fault features are more obvious and there is no need to mark the fault occurring time. Second, cross-domain adaption is introduced to the optimization objective of convolutional neural network (CNN). Through this adaption, the distribution discrepancies of the top-layer features extracted by the neural network between laboratory and real-world fault samples are reduced significantly, thereby increasing the model applicability in diagnosing the real-world faults. To validate the effectiveness of the proposed model, several state-of-the-art faulted-phase classification models are used for comparison. The results show that the proposed model is well-performed in accuracy, noise immunity and real-world applicability.

ACS Style

Ji Han; Shihong Miao; Yaowang Li; Weichen Yang; Haoran Yin. Faulted-Phase classification for transmission lines using gradient similarity visualization and cross-domain adaption-based convolutional neural network. Electric Power Systems Research 2020, 191, 106876 .

AMA Style

Ji Han, Shihong Miao, Yaowang Li, Weichen Yang, Haoran Yin. Faulted-Phase classification for transmission lines using gradient similarity visualization and cross-domain adaption-based convolutional neural network. Electric Power Systems Research. 2020; 191 ():106876.

Chicago/Turabian Style

Ji Han; Shihong Miao; Yaowang Li; Weichen Yang; Haoran Yin. 2020. "Faulted-Phase classification for transmission lines using gradient similarity visualization and cross-domain adaption-based convolutional neural network." Electric Power Systems Research 191, no. : 106876.

Journal article
Published: 01 October 2020 in Energies
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Timely and accurate fault location for a 35-kVhigh-reliability distribution network is one of the key technologies to improve the safety and efficiency of distribution network operations. A novel fault location method of 35-kV high-reliability distribution network is proposed in this paper. First, the distributed multipoint fault location model is established based on the power structure of a 35-kV high-reliability distribution network. The distribution of voltage and current traveling waves along the lines is comprehensively considered in this model. Secondly, we analyze the influence of noise interference, analog-digital conversion frequency, and conversion bits on the location accuracy. The simulation method of noise and analog-digital conversion is proposed based on simulated samples. Then, a wavelet filter is used to reduce the influence of noise on the calibration of the traveling wave arrival time, and matrix modulus of S transform is used to identify the arrival time for the wave. Finally, the simulation model of a 35-kV high-reliability distribution network is established to analyze the location accuracy in the case of single-phase to ground via resistance, two-phase short-circuit to ground via resistance, and three-phase short-circuit faults. The simulation results indicate that the proposed method has high location accuracy under the above fault conditions.

ACS Style

Shuyu Guo; Shihong Miao; Haipeng Zhao; Haoran Yin; Zixin Wang. A Novel Fault Location Method of a 35-kV High-Reliability Distribution Network Using Wavelet Filter-S Transform. Energies 2020, 13, 5118 .

AMA Style

Shuyu Guo, Shihong Miao, Haipeng Zhao, Haoran Yin, Zixin Wang. A Novel Fault Location Method of a 35-kV High-Reliability Distribution Network Using Wavelet Filter-S Transform. Energies. 2020; 13 (19):5118.

Chicago/Turabian Style

Shuyu Guo; Shihong Miao; Haipeng Zhao; Haoran Yin; Zixin Wang. 2020. "A Novel Fault Location Method of a 35-kV High-Reliability Distribution Network Using Wavelet Filter-S Transform." Energies 13, no. 19: 5118.

Journal article
Published: 18 September 2020 in IEEE Access
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Large-scale wind farms (WFs) generally consist of hundreds of wind turbines (WTs), and the WFs simulation model construction would be complex and even impossible if we develop each individual WT in detail. Therefore, the WFs equivalent simulation model with required accuracy is essential to be developed to explore the WFs operation characteristics. This paper proposes an equivalent method for large-scale WFs using incremental clustering and key parameters optimization. Firstly, to acquire more comprehensive and distinguishable representations of WTs operation characteristics, the time series of WT active power, reactive power, voltage and current are selected as the multi-view clustering indicator (CI). Then, considering the computer memory pressures encountered by traditional clustering algorithms in dealing with large-scale WFs, a novel clustering algorithm namely multi-view incremental transfer fuzzy C-means (MVIT-FCM) is proposed, and this algorithm can process the WTs clustering problems without requiring to consider the scale of the WFs. Finally, to further increase the equivalent accuracy of the WFs equivalent simulation model, key parameters in the equivalent model are found using Sobol’ criterion and then optimized using the designed Q-learning based non-dominated sorting genetic algorithm II (NSGA-II). To verify the effectiveness of the proposed method, the modified WFs system in China is utilized for case study, and the performance of the proposed model is compared with several state-of-the-art models. Simulation results show that the equivalent accuracy of the proposed model is higher when comparing with other models. Also, the proposed model has the advantage of processing the WFs equivalent problems with any scales.

ACS Style

Ji Han; Shihong Miao; Yaowang Li; Haoran Yin; Di Zhang; Weichen Yang; Qingyu Tu. Improved Equivalent Method for Large-Scale Wind Farms Using Incremental Clustering and Key Parameters Optimization. IEEE Access 2020, 8, 172006 -172020.

AMA Style

Ji Han, Shihong Miao, Yaowang Li, Haoran Yin, Di Zhang, Weichen Yang, Qingyu Tu. Improved Equivalent Method for Large-Scale Wind Farms Using Incremental Clustering and Key Parameters Optimization. IEEE Access. 2020; 8 (99):172006-172020.

Chicago/Turabian Style

Ji Han; Shihong Miao; Yaowang Li; Haoran Yin; Di Zhang; Weichen Yang; Qingyu Tu. 2020. "Improved Equivalent Method for Large-Scale Wind Farms Using Incremental Clustering and Key Parameters Optimization." IEEE Access 8, no. 99: 172006-172020.

Journal article
Published: 17 September 2020 in International Journal of Electrical Power & Energy Systems
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Advanced Adiabatic Compressed Air Energy Storage (AA-CAES) has been considered to possess excellent potential of utilization in Regional Integrated Energy System (RIES) due to its various merits including superior ancillary service and multi-carrier energy generation and storage capacity. However, few studies have been reported on schedule strategies considering AA-CAES and its multiple applications in market environment. This paper presents a RIES schedule strategy considering multiple applications of AA-CAES accounting for trading strategy of Energy Hub Operator (EHO). The operation mechanism and the schedule framework of RIES are built at first. Then, key applications including heating service and reserve service of AA-CAES are analyzed and modeled, and the schedule model of RIES utilizing AA-CAES to optimize economy of EHO is developed. A RIES based on AC-DC hybrid micro-grid is used for case studies to assess the comprehensive benefits of AA-CAES for cogeneration, reserve providing and photovoltaic (PV) consumption. The results show that the multiple application capacity of AA-CAES lead to 21.89% increase in the overall profit of EHO. It improves the operation flexibility of RIES, optimizes market trading strategies of EHO and promotes the energy autonomy of RIES from various ways.

ACS Style

Shixu Zhang; Shihong Miao; Yaowang Li; Binxin Yin; Chao Li. Regional integrated energy system dispatch strategy considering advanced adiabatic compressed air energy storage device. International Journal of Electrical Power & Energy Systems 2020, 125, 106519 .

AMA Style

Shixu Zhang, Shihong Miao, Yaowang Li, Binxin Yin, Chao Li. Regional integrated energy system dispatch strategy considering advanced adiabatic compressed air energy storage device. International Journal of Electrical Power & Energy Systems. 2020; 125 ():106519.

Chicago/Turabian Style

Shixu Zhang; Shihong Miao; Yaowang Li; Binxin Yin; Chao Li. 2020. "Regional integrated energy system dispatch strategy considering advanced adiabatic compressed air energy storage device." International Journal of Electrical Power & Energy Systems 125, no. : 106519.

Journal article
Published: 04 September 2020 in Energies
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As an important part of a micro-compressed air energy storage system, the scroll expander directly affects the efficiency of the whole energy storage system. The effects of resistance on the efficiency of scroll expander caused by inlet structure and size are discussed with theory analysis and experimental methods in this paper. Micro-compressed air energy storage system has aroused widespread attention because of its pollution-free, high flexibility, in the community, remote areas power supply. Comprehensive experimental work with the selections of different size and structure of the air inlet of the scroll expander was performed with the cutting angle of air inlet chamber of the scroll expander. The results of the experiments are discussed on how exergy efficiency and inlet flow of the scroll expander were affected resulting from the cutting angles dissected. The results show that a maximum value exists for exergy efficiency of the scroll expander. Therefore, the exergy efficiency of the scroll expander can be effectively improved by enlarging the air inlet port dimension and modifying the size of air chamber.

ACS Style

Aiqin Sun; Jidai Wang; Guangqing Chen; Jihong Wang; Shihong Miao; Dan Wang; Zhiwei Wang; Lan Ma. Study on Effects of Inlet Resistance on the Efficiency of Scroll Expander in Micro-Compressed Air Energy Storage System. Energies 2020, 13, 4617 .

AMA Style

Aiqin Sun, Jidai Wang, Guangqing Chen, Jihong Wang, Shihong Miao, Dan Wang, Zhiwei Wang, Lan Ma. Study on Effects of Inlet Resistance on the Efficiency of Scroll Expander in Micro-Compressed Air Energy Storage System. Energies. 2020; 13 (18):4617.

Chicago/Turabian Style

Aiqin Sun; Jidai Wang; Guangqing Chen; Jihong Wang; Shihong Miao; Dan Wang; Zhiwei Wang; Lan Ma. 2020. "Study on Effects of Inlet Resistance on the Efficiency of Scroll Expander in Micro-Compressed Air Energy Storage System." Energies 13, no. 18: 4617.

Journal article
Published: 17 July 2020 in International Journal of Electrical Power & Energy Systems
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With the scale increase of distributed generation, the coupling feature between the transmission and distribution networks is further enhanced. The separate optimization mechanisms of the networks cannot adapt to the development of the situation, which would bring some problems to power system operation. Thus, it has become an urgent task for the power system to solve the coordinated Alternating Current Optimal Power Flow (ACOPF) model for the transmission and distribution networks. However, the performance of the traditional centralized method is unsatisfactory in solving such large scale optimization problems for the high computing requirements. In this paper, a novel once-data-exchange method is developed to solve the coordinated ACOPF model. Firstly, the relationship between the optimal objective function and the active power demand at the boundary in the distribution network is described by a piecewise linear continuous function. Secondly, the reactive power demand at the boundary of the distribution network is converted to a piecewise linear continuous function of the active power demand at the boundary. Based on the two functions, the coordinated ACOPF model could be easily simplified to a mixed-integer programming problem. Numerical test results indicate that the proposed method performs better than the traditional methods in accuracy and computational efficiency.

ACS Style

Di Zhang; Shihong Miao; Chao Li; Zhong Zheng; Weichen Yang; Ji Han; Yaowang Li. A novel once-data-exchange method for solving transmission and distribution networks coordinated ACOPF model. International Journal of Electrical Power & Energy Systems 2020, 123, 106339 .

AMA Style

Di Zhang, Shihong Miao, Chao Li, Zhong Zheng, Weichen Yang, Ji Han, Yaowang Li. A novel once-data-exchange method for solving transmission and distribution networks coordinated ACOPF model. International Journal of Electrical Power & Energy Systems. 2020; 123 ():106339.

Chicago/Turabian Style

Di Zhang; Shihong Miao; Chao Li; Zhong Zheng; Weichen Yang; Ji Han; Yaowang Li. 2020. "A novel once-data-exchange method for solving transmission and distribution networks coordinated ACOPF model." International Journal of Electrical Power & Energy Systems 123, no. : 106339.

Journal article
Published: 29 March 2020 in International Journal of Electrical Power & Energy Systems
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In the multi-infeed HVDC system, the interaction between inverter stations is an important factor that triggers the propagation of commutation failure. This paper aims to study the interaction mechanism of inverter stations and propose a reasonable method to evaluate the commutation failure risk. Firstly, based on the modified switching function, the commutation failure component is formulated to describe the commutation process and transient characteristics of inverter station during the commutation failure. Then, the analytical calculation method is studied to reflect the commutation voltage fluctuation under the influence of AC fault and commutation failure. On this basis, the commutation failure risk is assessed by comparing each valve’s maximum commutation area with the minimum commutation area required for blocking. By analyzing the commutation failure risk under different grounding impedances, it is possible to identify the critical grounding inductance that causes a remote commutation failure. Based on the multi-infeed HVDC system in PSCAD/EMTDC, the validity and accuracy of the proposed method and commutation failure component are verified.

ACS Style

Weichen Yang; Shihong Miao; Shixu Zhang; Yaowang Li; Ji Han; Hanping Xu; Dongyin Zhang. A commutation failure risk analysis method considering the interaction of inverter stations. International Journal of Electrical Power & Energy Systems 2020, 120, 106009 .

AMA Style

Weichen Yang, Shihong Miao, Shixu Zhang, Yaowang Li, Ji Han, Hanping Xu, Dongyin Zhang. A commutation failure risk analysis method considering the interaction of inverter stations. International Journal of Electrical Power & Energy Systems. 2020; 120 ():106009.

Chicago/Turabian Style

Weichen Yang; Shihong Miao; Shixu Zhang; Yaowang Li; Ji Han; Hanping Xu; Dongyin Zhang. 2020. "A commutation failure risk analysis method considering the interaction of inverter stations." International Journal of Electrical Power & Energy Systems 120, no. : 106009.

Journal article
Published: 24 February 2020 in Energies
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The unbalanced distribution of resource and consuming centers in China has prompted the AC/DC hybrid transmission technology. The maintenance scheduling of an AC/DC hybrid transmission network is the key technology to ensure its safety and reliability. In this study, the mutual influence mechanism of an AC/DC system in a maintenance period was analyzed in detail. The overhead transmission line and transformer are key equipment within an AC/DC hybrid transmission network, and an optimization model of the key equipment maintenance scheduling was established. The objective of the model was to improve the system reliability during the maintenance scheduling. By considering the constraints of maintenance cost, maintenance resources, and maintenance workload, the maintenance scheduling of overhead transmission lines and transformer branches was obtained. The over-limit situation of power flow and the weakness of the system during the maintenance period was evaluated. The “double-layer substitution method” was adopted to convert the nonlinear constraints into its bilinear formulation such that it could then be solved. The random number sampling method was used to quantify the system reliability, and the commercial optimization software was used to solve the optimized scheduling. Based on the improved IEEE RTS-79 system and the Hubei Province electrical system, the simulation results showed the effectiveness of the proposed method.

ACS Style

Jie Cai; Shuyu Guo; Shuang Liao; Xing Chen; Shihong Miao; Yaowang Li. Optimization Model of Key Equipment Maintenance Scheduling for an AC/DC Hybrid Transmission Network Based on Mixed Integer Linear Programming. Energies 2020, 13, 1011 .

AMA Style

Jie Cai, Shuyu Guo, Shuang Liao, Xing Chen, Shihong Miao, Yaowang Li. Optimization Model of Key Equipment Maintenance Scheduling for an AC/DC Hybrid Transmission Network Based on Mixed Integer Linear Programming. Energies. 2020; 13 (4):1011.

Chicago/Turabian Style

Jie Cai; Shuyu Guo; Shuang Liao; Xing Chen; Shihong Miao; Yaowang Li. 2020. "Optimization Model of Key Equipment Maintenance Scheduling for an AC/DC Hybrid Transmission Network Based on Mixed Integer Linear Programming." Energies 13, no. 4: 1011.

Journal article
Published: 30 December 2019 in Applied Energy
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Adiabatic compressed air energy storage technology recently attracts a great attention due to its merits of low cost, long lifetime and environmentally friendly. Several MW scale pilot plants were recently built to explore the technology deployment potential. With the encouragement of the success of these pilot plants, this paper presents the recent research in dynamic modelling and comprehensive techno-economic analysis of adiabatic compressed air energy storage in providing emergency back-up power to support microgrid operation. The dynamic modelling for key components of a MW scale adiabatic compressed air energy storage plant and the associated microgrid is carried out. The models developed are used for analyzing the system dynamic performance while it provides emergency back-up power. Then, the economic benefit estimation model is developed for conducting a comprehensive economic analysis in order to understand the economic gains of adiabatic compressed air energy storage operation with different microgrid configurations, power supply reliabilities and diesel prices. The simulation results indicate that the MW scale adiabatic compressed air energy storage can normally fully restore the power supply to important loads within several minutes. It is acceptable for the load with no strict requirement on power outage time, but its standalone operation cannot meet the requirement of uninterruptable power source. For a microgrid having low power supply reliability requirement, high diesel price and abundant renewable energy sources, using adiabatic compressed air energy storage for providing emergency back-up power can achieve higher economic benefits compared with diesel generators.

ACS Style

Yaowang Li; Shihong Miao; Xing Luo; Binxin Yin; Ji Han; Jihong Wang. Dynamic modelling and techno-economic analysis of adiabatic compressed air energy storage for emergency back-up power in supporting microgrid. Applied Energy 2019, 261, 114448 .

AMA Style

Yaowang Li, Shihong Miao, Xing Luo, Binxin Yin, Ji Han, Jihong Wang. Dynamic modelling and techno-economic analysis of adiabatic compressed air energy storage for emergency back-up power in supporting microgrid. Applied Energy. 2019; 261 ():114448.

Chicago/Turabian Style

Yaowang Li; Shihong Miao; Xing Luo; Binxin Yin; Ji Han; Jihong Wang. 2019. "Dynamic modelling and techno-economic analysis of adiabatic compressed air energy storage for emergency back-up power in supporting microgrid." Applied Energy 261, no. : 114448.

Journal article
Published: 04 December 2019 in International Journal of Electrical Power & Energy Systems
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With the increasing capacity of wind farm (WF), detailed WF model is not appropriate for power system studies, and the equivalence of WF with the required accuracy level poses a complicated technical challenge. In this paper, a multi-view and multi-scale transfer learning based WF equivalent method is proposed. Three steps are taken in this method. (a) Extract feature from active and reactive power of wind turbine (WT) using refined composite multi-scale entropy (RCMSE), on this basis, construct clustering indicator considering view and scale two aspects. (b) Aiming at the feature of the clustering indicator, a multi-view and multi-scale fuzzy C-means (VS-FCM) clustering algorithm is proposed, and transfer learning is used in it for better WTs cluster performance. (c) transfer Q-learning is adopted to optimize the parameters of collector network for each equivalent WT, so as to improve parameter optimization efficiency. To verify the effectiveness of the proposed method, an actual system in East Inner Mongolia of China is utilized for case study. Simulation results shows that the dynamic characteristics and the robustness of the proposed model perform a good behavior in different wind scenarios and voltage sag levels, besides, the method has an advantage in the efficiency of simulation time and parameter optimization.

ACS Style

Ji Han; Shihong Miao; Yaowang Li; Weichen Yang; Tingting Zheng. A multi-view and multi-scale transfer learning based wind farm equivalent method. International Journal of Electrical Power & Energy Systems 2019, 117, 105740 .

AMA Style

Ji Han, Shihong Miao, Yaowang Li, Weichen Yang, Tingting Zheng. A multi-view and multi-scale transfer learning based wind farm equivalent method. International Journal of Electrical Power & Energy Systems. 2019; 117 ():105740.

Chicago/Turabian Style

Ji Han; Shihong Miao; Yaowang Li; Weichen Yang; Tingting Zheng. 2019. "A multi-view and multi-scale transfer learning based wind farm equivalent method." International Journal of Electrical Power & Energy Systems 117, no. : 105740.

Research article
Published: 30 October 2019 in IET Generation, Transmission & Distribution
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The self-scheduling horizon is an important schedule parameter in the self-scheduling problem. A more reasonable self-scheduling horizon can lead to higher benefits of the wind farm (WF) and large-scale compressed air energy storage (CAES) combined system. However, very few studies have been reported about the optimisation of self-scheduling horizon for a WF paired with a CAES plant. In this study, a rolling day-ahead self-scheduling framework for a WF and CAES combined system is first proposed. After that, the self-scheduling horizon optimisation model is developed in the formulation of a bilayer stochastic chance-constrained optimisation problem. The proposed model is converted into its equivalent deterministic linear formulation and then is solved. Based on the developed model, the impacts of self-scheduling horizon on the profit of the combined system are analysed. Numerical simulation results indicate that the profit of the combined system increases after using the optimal self-scheduling horizon, and the profit increment is more obvious with the increase of the CAES's energy storage capacity.

ACS Style

Yaowang Li; Shihong Miao; Binxin Yin; Junyao Liu; Weichen Yang; Songyan Zhang. Research on optimal self‐scheduling horizon for the wind power and large‐scale CAES combined system. IET Generation, Transmission & Distribution 2019, 13, 5197 -5206.

AMA Style

Yaowang Li, Shihong Miao, Binxin Yin, Junyao Liu, Weichen Yang, Songyan Zhang. Research on optimal self‐scheduling horizon for the wind power and large‐scale CAES combined system. IET Generation, Transmission & Distribution. 2019; 13 (22):5197-5206.

Chicago/Turabian Style

Yaowang Li; Shihong Miao; Binxin Yin; Junyao Liu; Weichen Yang; Songyan Zhang. 2019. "Research on optimal self‐scheduling horizon for the wind power and large‐scale CAES combined system." IET Generation, Transmission & Distribution 13, no. 22: 5197-5206.

Conference paper
Published: 25 October 2019 in IOP Conference Series: Earth and Environmental Science
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This paper presents a method for evaluating the operation statute of photovoltaic power plants. It considers the impact of various kinds of natural environment. Firstly, by analysis the impact of different natural factors on photovoltaic power generation, we can find the most influential factors that affect the output of photovoltaic power station. Secondly, use these factors as a standard to separate the natural environments into different kinds. Thirdly, use the AHP method to establish an indicator evaluation system and multiple indicator weight determination methods for different environments. Then, setting proper formula to evaluation the operation statue of photovoltaic power station. Finally, in part 7 a case is proposed to illustrate the present method.

ACS Style

J H Zhang; S H Miao; Y W Li; D Zhang; S Y Guo. Evaluation of photovoltaic power station operation under the influence of natural environment. IOP Conference Series: Earth and Environmental Science 2019, 354, 012124 .

AMA Style

J H Zhang, S H Miao, Y W Li, D Zhang, S Y Guo. Evaluation of photovoltaic power station operation under the influence of natural environment. IOP Conference Series: Earth and Environmental Science. 2019; 354 (1):012124.

Chicago/Turabian Style

J H Zhang; S H Miao; Y W Li; D Zhang; S Y Guo. 2019. "Evaluation of photovoltaic power station operation under the influence of natural environment." IOP Conference Series: Earth and Environmental Science 354, no. 1: 012124.

Journal article
Published: 01 October 2019 in Energy Conversion and Management
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As an attractive large-scale clean energy storage technique, Advanced Adiabatic Compressed Air Energy Storage (AA-CAES) can store and generate both electricity and heat, which has great application potentials in Integrated Electricity and Heating Systems (IEHSs). However, few studies have been reported on Combined Heat and Power (CHP) dispatch by implementing AA-CAES in IEHS. This paper presents a CHP dispatch model considering the participation of AA-CAES for IEHS and mitigating wind curtailment. The mathematical model of AA-CAES for CHP dispatch is developed based on Mixed Integer Linear Programming (MILP). The off-design characteristic of AA-CAES is considered in the modelling process. The benefits of AA-CAES for mitigating wind curtailment and decreasing operation costs in IEHS has been studied. The scheduling analysis based on the developed model and the existing model without considering off-design characteristics has been carried out. The study shows that the participation of AA-CAES in CHP dispatch can increase the flexibility of IEHS, and it can lead to an apparent reduction of wind curtailment and operation costs. Also, AA-CAES’s off-design conditions need to be considered in the dispatch; otherwise it can cause the misjudgment of AA-CAES’s state of charge, which in turn results in costly operation.

ACS Style

Yaowang Li; Shihong Miao; Binxin Yin; Ji Han; Shixu Zhang; Jihong Wang; Xing Luo. Combined Heat and Power dispatch considering Advanced Adiabatic Compressed Air Energy Storage for wind power accommodation. Energy Conversion and Management 2019, 200, 112091 .

AMA Style

Yaowang Li, Shihong Miao, Binxin Yin, Ji Han, Shixu Zhang, Jihong Wang, Xing Luo. Combined Heat and Power dispatch considering Advanced Adiabatic Compressed Air Energy Storage for wind power accommodation. Energy Conversion and Management. 2019; 200 ():112091.

Chicago/Turabian Style

Yaowang Li; Shihong Miao; Binxin Yin; Ji Han; Shixu Zhang; Jihong Wang; Xing Luo. 2019. "Combined Heat and Power dispatch considering Advanced Adiabatic Compressed Air Energy Storage for wind power accommodation." Energy Conversion and Management 200, no. : 112091.

Research article
Published: 01 October 2019 in IET Generation, Transmission & Distribution
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The growing penetration of renewable energy resources in distribution networks demands for more active management tools. As a new controllable resource, dynamic network reconfiguration (DNR) can improve the flexibility of active distribution network, and in turn decreasing the operation cost of the distribution network and mitigating renewable distributed generation (RDG) curtailment. In this study, an optimisation model coordinating DNR with active network management (ANM) strategies is established, and the system structure security is evaluated. Considering the coordination of scheduling resources such as DNR switches, RDG active/reactive outputs, demand response and static var compensator, the model aims to minimise the comprehensive operation cost of distribution network and improve the consumption rate of RDG while satisfying the distribution network operation constraints. The model transformation method based on the second-order cone relaxation and variable substitution linearisation is proposed, and the original no-convex optimisation model is transformed into the mixed-integer second-order cone programming problem. Finally, the extended IEEE 33-node distribution network is utilised to conduct simulation calculation, and the results demonstrate the validity of the proposed model and its transformation method.

ACS Style

Chao Li; Shihong Miao; Yaowang Li; Di Zhang; Chang Ye; Ziwen Liu; Lixing Li. Coordinating dynamic network reconfiguration with ANM in active distribution network optimisation considering system structure security evaluation. IET Generation, Transmission & Distribution 2019, 13, 4355 -4363.

AMA Style

Chao Li, Shihong Miao, Yaowang Li, Di Zhang, Chang Ye, Ziwen Liu, Lixing Li. Coordinating dynamic network reconfiguration with ANM in active distribution network optimisation considering system structure security evaluation. IET Generation, Transmission & Distribution. 2019; 13 (19):4355-4363.

Chicago/Turabian Style

Chao Li; Shihong Miao; Yaowang Li; Di Zhang; Chang Ye; Ziwen Liu; Lixing Li. 2019. "Coordinating dynamic network reconfiguration with ANM in active distribution network optimisation considering system structure security evaluation." IET Generation, Transmission & Distribution 13, no. 19: 4355-4363.

Journal article
Published: 24 September 2019 in International Journal of Electrical Power & Energy Systems
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The inherent stochastic nature of wind power poses significant challenges to the safe and economic operation of power systems, and an accurate model of wind power forecast error can give operators great help in dealing with the negative impact of wind power uncertainty on the power system. To obtain accurate forecast error intervals, a wind power forecast error (WPFE) model based on dynamic Copula theory is proposed in this paper. By combining Autoregressive integrated moving average (ARIMA) method and generalized autoregressive conditional heteroscedasticity (GARCH) model, the marginal distribution of WPFE model with the ability to describe its time-varying feature is achieved. In this proposed model, 4 dynamic Copula functions are estimated and evaluated by the combination method of Inference Functions for Margins (IFM) and Akaike Information Criterion (AIC), and the best-fitted one is selected to be applied in a set of synchronous data of wind power and its forecast. The result shows that compared with the conventional method, the proposed method can provide more accurate forecast error intervals. This advantage can benefit the scheduling of the power system with high wind power penetration rate, which is also verified by a stochastic unit commitment case in modified IEEE 118-Bus system.

ACS Style

Lixing Li; Shihong Miao; Qingyu Tu; Simo Duan; Yaowang Li; Ji Han. Dynamic dependence modelling of wind power uncertainty considering heteroscedastic effect. International Journal of Electrical Power & Energy Systems 2019, 116, 105556 .

AMA Style

Lixing Li, Shihong Miao, Qingyu Tu, Simo Duan, Yaowang Li, Ji Han. Dynamic dependence modelling of wind power uncertainty considering heteroscedastic effect. International Journal of Electrical Power & Energy Systems. 2019; 116 ():105556.

Chicago/Turabian Style

Lixing Li; Shihong Miao; Qingyu Tu; Simo Duan; Yaowang Li; Ji Han. 2019. "Dynamic dependence modelling of wind power uncertainty considering heteroscedastic effect." International Journal of Electrical Power & Energy Systems 116, no. : 105556.

Journal article
Published: 16 July 2019 in International Transactions on Electrical Energy Systems
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Chang Ye; Shihong Miao; Lixing Li; Yaowang Li; Chao Li. Dynamic coordinated scheduling scheme for transmission and distribution system considering uncertainties of distributed generations. International Transactions on Electrical Energy Systems 2019, 29, 1 .

AMA Style

Chang Ye, Shihong Miao, Lixing Li, Yaowang Li, Chao Li. Dynamic coordinated scheduling scheme for transmission and distribution system considering uncertainties of distributed generations. International Transactions on Electrical Energy Systems. 2019; 29 (11):1.

Chicago/Turabian Style

Chang Ye; Shihong Miao; Lixing Li; Yaowang Li; Chao Li. 2019. "Dynamic coordinated scheduling scheme for transmission and distribution system considering uncertainties of distributed generations." International Transactions on Electrical Energy Systems 29, no. 11: 1.

Journal article
Published: 27 May 2019 in Energies
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With the increasing rate of wind power installed capacity, voltage state assessment with large-scale wind power integration is of great significance. In this paper, a vine-copula based voltage state assessment method with large-scale wind power integration is proposed. Firstly, the nonparametric kernel density estimation is used to fit the wind speed distribution, and vine-copula is used to construct the wind speed joint distribution model of multiple regions. In order to obtain voltage distribution characteristics, probabilistic load flow based on the semi-invariant method and wind speed independent transformation based on the Rosenblatt transformation are described. On this basis, a voltage state assessment index is established for the more comprehensive evaluation of voltage characteristics, and a voltage state assessment procedure is proposed. Taking actual wind speed as an example, the case study of the IEEE 24-node power system and the east Inner Mongolia power system for voltage state assessment with large-scale wind power integration are studied. The simulation results verify the effectiveness of the proposed voltage state assessment method.

ACS Style

Xiaolu Chen; Ji Han; Tingting Zheng; Ping Zhang; Simo Duan; Shihong Miao. A Vine-Copula Based Voltage State Assessment with Wind Power Integration. Energies 2019, 12, 2019 .

AMA Style

Xiaolu Chen, Ji Han, Tingting Zheng, Ping Zhang, Simo Duan, Shihong Miao. A Vine-Copula Based Voltage State Assessment with Wind Power Integration. Energies. 2019; 12 (10):2019.

Chicago/Turabian Style

Xiaolu Chen; Ji Han; Tingting Zheng; Ping Zhang; Simo Duan; Shihong Miao. 2019. "A Vine-Copula Based Voltage State Assessment with Wind Power Integration." Energies 12, no. 10: 2019.

Journal article
Published: 16 March 2019 in International Journal of Electrical Power & Energy Systems
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In this paper, the performance characteristics analysis and an improved arm current control of modular multilevel converter (MMC) with asymmetric arm parameters are presented. The performance characteristics analysis of MMC is conducted based on the average switching function current model, which demonstrates that fundamental and double frequency ripples exist in the arm circulating current under asymmetric arm parameter conditions. Besides, there will be dc and double frequency components in the ac side current, while fundamental and double frequency ripples also appear in the dc side current. According to the analysis results, the arm current control based on an improved PIR (Proportional Integral-Resonant) controller via the FAC (feedback adjustment control) method is proposed to suppress the asymmetric components with significantly enhanced dynamic response. Theoretical analysis shows that by introducing the integration and feedback loops of the FAC method to the conventional PIR controller, the inertia and damping effects are emerged in the system, which can help to enhance the system dynamic response during transient and achieve better suppression performance of the asymmetric components. Simulation cases verify the correctness of the theoretical analysis and the validity of the proposed control.

ACS Style

Ziwen Liu; Shihong Miao; Zhihua Fan; Yilong Kang; Qingyu Tu. Analysis of the performance characteristics and arm current control for modular multilevel converter with asymmetric arm parameters. International Journal of Electrical Power & Energy Systems 2019, 110, 258 -270.

AMA Style

Ziwen Liu, Shihong Miao, Zhihua Fan, Yilong Kang, Qingyu Tu. Analysis of the performance characteristics and arm current control for modular multilevel converter with asymmetric arm parameters. International Journal of Electrical Power & Energy Systems. 2019; 110 ():258-270.

Chicago/Turabian Style

Ziwen Liu; Shihong Miao; Zhihua Fan; Yilong Kang; Qingyu Tu. 2019. "Analysis of the performance characteristics and arm current control for modular multilevel converter with asymmetric arm parameters." International Journal of Electrical Power & Energy Systems 110, no. : 258-270.