This page has only limited features, please log in for full access.

Unclaimed
Qiuye Sun
Shenyang, Liaoning, China, 110819

Basic Info

Basic Info is private.

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 23 August 2021 in IEEE Transactions on Automation Science and Engineering
Reads 0
Downloads 0

The security and economy of multienergy systems (MESs) are directly threatened by the potential cyberattacks. It is of great importance to investigate the effects of cyberattacks, e.g., denial of service (DoS) attacks, on distributed energy management algorithms. To this end, this article focuses on exploring how the frequency and the time of duration of DoS attacks influence the behavior of Newton-Raphson-based distributed energy management (NRBDEM) algorithm for MES and in which condition the optimal operations can still be obtained. First, a switched NRBDEM algorithm is presented, which is composed of the normal operation mode and the attack mode. In the attack mode, the attackers are able to change the communication structure at will and make it unconnected to destroy the convergence of the switched NRBDEM algorithm. Then, by making use of automatons to generate the hybrid time domain, the switched NRBDEM algorithm is further modeled and formulated as a hybrid dynamical system, which provides a mathematical model for the subsequent convergence analysis. Therein, the generated hybrid time domain satisfies the average dwell-time constraint and time-ratio constraint to limit the persistent attacks. Furthermore, we analyze the restrained conditions for persistent attacks, under which the optimality and convergence of the switched NRBDEM algorithm can be guaranteed still. Finally, simulation results demonstrate the effectiveness of the proposed method.

ACS Style

Yushuai Li; Jingyu Wang; Rui Wang; David Wenzhong Gao; Qiuye Sun; Huaguang Zhang. A Switched Newton-Raphson-Based Distributed Energy Management Algorithm for Multienergy System Under Persistent DoS Attacks. IEEE Transactions on Automation Science and Engineering 2021, PP, 1 -13.

AMA Style

Yushuai Li, Jingyu Wang, Rui Wang, David Wenzhong Gao, Qiuye Sun, Huaguang Zhang. A Switched Newton-Raphson-Based Distributed Energy Management Algorithm for Multienergy System Under Persistent DoS Attacks. IEEE Transactions on Automation Science and Engineering. 2021; PP (99):1-13.

Chicago/Turabian Style

Yushuai Li; Jingyu Wang; Rui Wang; David Wenzhong Gao; Qiuye Sun; Huaguang Zhang. 2021. "A Switched Newton-Raphson-Based Distributed Energy Management Algorithm for Multienergy System Under Persistent DoS Attacks." IEEE Transactions on Automation Science and Engineering PP, no. 99: 1-13.

Journal article
Published: 18 August 2021 in IEEE Transactions on Vehicular Technology
Reads 0
Downloads 0

The electric vehicle technology is one of the most promising candidates to reduce fuel consumption and $\rm CO_2$ emission. Although electric vehicles have been widely promoted by governments around the world, their development is seriously hampered due to charger unavailability and range anxiety. Based on this, this paper designs an energy interaction converter between two electric vehicles, which is controlled through disturbance observer based sliding model control algorithm. For this converter, three main demands should be satisfied, i.e., high power density, weak source and constant power load. Firstly, the equivalent impedance switching process is introduced to eliminate the impact of weak source. Meanwhile, the equivalent six channel interleaved floating dual boost converter is chosen to satisfy the high power density demand, whose generalized state-space function is further built to provide an indispensable preprocessing for following controller design. Moreover, in order to solve the problem regarding low frequency/sub-synchronous oscillation caused through constant power load feature regarding the energy consumption vehicle and weak source feature regarding the energy supply vehicle, a disturbance observer based sliding model control algorithm is proposed through using generalized state-space function to provide standard DC power with both constant voltage and power. Furthermore, the proportional-resonant controller is proposed to solve the current sharing problem among six parallel channels, which reduces the heat loss and improves the service life of the device. Finally, simulation and experimental results verify the high performance of the proposed control algorithm.

ACS Style

Rui Wang; Qiuye Sun; Chenghao Sun; Huaguang Zhang; Yonghao Gui; Peng Wang. Vehicle-Vehicle Energy Interaction Converter of Electric Vehicles: A Disturbance Observer Based Sliding Model Control Algorithm. IEEE Transactions on Vehicular Technology 2021, PP, 1 -1.

AMA Style

Rui Wang, Qiuye Sun, Chenghao Sun, Huaguang Zhang, Yonghao Gui, Peng Wang. Vehicle-Vehicle Energy Interaction Converter of Electric Vehicles: A Disturbance Observer Based Sliding Model Control Algorithm. IEEE Transactions on Vehicular Technology. 2021; PP (99):1-1.

Chicago/Turabian Style

Rui Wang; Qiuye Sun; Chenghao Sun; Huaguang Zhang; Yonghao Gui; Peng Wang. 2021. "Vehicle-Vehicle Energy Interaction Converter of Electric Vehicles: A Disturbance Observer Based Sliding Model Control Algorithm." IEEE Transactions on Vehicular Technology PP, no. 99: 1-1.

Original research article
Published: 05 August 2021 in Frontiers in Energy Research
Reads 0
Downloads 0

Monitoring the charging behavior of electric vehicle clusters will contribute to developing more effective energy management strategies for grid operators. A low implementation cost leads to a wide application prospect in nonintrusive monitoring for EVs. Aiming at the problem that traditional nonintrusive monitoring methods cannot identify unknown devices accurately due to the lack of classes, a nonintrusive monitoring method based on zero-shot learning (ZSL) is proposed in this article, one which can monitor the unknown types of EVs connected to charging piles. First, the charging characteristics of known EVs and unknown EVs are extracted by dictionary learning. Then EVs are classified by ZSL based on sparse coding. Furthermore, EVs are decomposed based on the proposed multimode factorial hidden Markov model (FHMM). Finally, the EV dataset of Pecan Street is used to verify the effectiveness and accuracy of the proposed method.

ACS Style

Jingwei Hu; Rufei Ren; Jie Hu; Qiuye Sun. Nonintrusive Monitoring for Electric Vehicles Based on Zero-Shot Learning. Frontiers in Energy Research 2021, 9, 1 .

AMA Style

Jingwei Hu, Rufei Ren, Jie Hu, Qiuye Sun. Nonintrusive Monitoring for Electric Vehicles Based on Zero-Shot Learning. Frontiers in Energy Research. 2021; 9 ():1.

Chicago/Turabian Style

Jingwei Hu; Rufei Ren; Jie Hu; Qiuye Sun. 2021. "Nonintrusive Monitoring for Electric Vehicles Based on Zero-Shot Learning." Frontiers in Energy Research 9, no. : 1.

Journal article
Published: 02 August 2021 in IEEE Transactions on Power Delivery
Reads 0
Downloads 0

For AC microgrids with three-phase unbalanced loading conditions, the four-wire voltage source inverters (FWVSIs) have become an advisable interfaced converter between the source and loads. Predictive control has been applied to FWVSIs in recent years, but model errors are not solved well, which is caused through parameter mismatch, sampling error and time delay. Thus, the accurate following between reference value and predicted value is difficult to achieve. To this end, a dual-predictive control based on adaptive error correction (DPCEC) for the FW-VSIs is presented. Firstly, the state-space function of FW-VSIs under reference frame is built. Then, the DPCEC strategy is proposed based on the above issue. Therein, an adaptive error correction strategy is severally embedded into both the outer and inner prediction loop. Noting that the impacts of different negative factors can be simultaneously processed and corrected through adaptive error correction strategy. Not only does the proposed control strategy achieve better performance in steady state, but also retains fast dynamic response in transient state. Finally, simulation and experimental results which verify the high performance of the proposed control techniques are provided.

ACS Style

Dazhong Ma; Xingchen Cao; Chenghao Sun; Rui Wang; Qiuye Sun; Xiangpeng Xie; Peng Wang. Dual-Predictive Control with Adaptive Error Correction Strategy for AC Microgrids. IEEE Transactions on Power Delivery 2021, PP, 1 -1.

AMA Style

Dazhong Ma, Xingchen Cao, Chenghao Sun, Rui Wang, Qiuye Sun, Xiangpeng Xie, Peng Wang. Dual-Predictive Control with Adaptive Error Correction Strategy for AC Microgrids. IEEE Transactions on Power Delivery. 2021; PP (99):1-1.

Chicago/Turabian Style

Dazhong Ma; Xingchen Cao; Chenghao Sun; Rui Wang; Qiuye Sun; Xiangpeng Xie; Peng Wang. 2021. "Dual-Predictive Control with Adaptive Error Correction Strategy for AC Microgrids." IEEE Transactions on Power Delivery PP, no. 99: 1-1.

Original research paper
Published: 06 June 2021 in IET Energy Systems Integration
Reads 0
Downloads 0

The objective of the microgrid secondary control system (MSCS) is to regulate frequency and voltage and allocate active and reactive power among distributed generations in the microgrid. Sequential denial-of-service (DoS) attacks have a lasting impact that reduce the vulnerability of the MSCS. A vulnerability assessment method is proposed for when the microgrid experiences DoS attacks. The sequence model of attack actions and N–1 contingency actions are proposed to find the traversal expression. With the traversal method, vulnerable factors of the microgrid can be interpreted by the proposed comprehensive vulnerability metric, which provides an intuitive and easy way to understand the vulnerability of the MSCS. The metric is composed of four basic indicators concerning not only final states of the microgrid when a DoS attack ends, but also the dynamic process of the microgrid. To test the proposed metric, two mitigation methods with the purpose of mitigating the impact on the physical system caused by DoS attacks are proposed: the self-adaptive coefficient method and the fault-tolerance method. Finally, a 33-node microgrid platform with eight distributed generations has been built to test the proposed vulnerability assessment method. From the analysis results, nodes with a high cyber-degree are vulnerable and the fault-tolerance method can provide a better mitigation result with an average metric of 9.41 compared with the self-adaptive coefficient method with a metric of 9.03.

ACS Style

Bingyu Wang; Qiuye Sun; Rui Wang; Chaoyu Dong. Vulnerability analysis of secondary control system when microgrid suffering from sequential denial‐of‐service attacks. IET Energy Systems Integration 2021, 1 .

AMA Style

Bingyu Wang, Qiuye Sun, Rui Wang, Chaoyu Dong. Vulnerability analysis of secondary control system when microgrid suffering from sequential denial‐of‐service attacks. IET Energy Systems Integration. 2021; ():1.

Chicago/Turabian Style

Bingyu Wang; Qiuye Sun; Rui Wang; Chaoyu Dong. 2021. "Vulnerability analysis of secondary control system when microgrid suffering from sequential denial‐of‐service attacks." IET Energy Systems Integration , no. : 1.

Journal article
Published: 04 May 2021 in IEEE Transactions on Industrial Informatics
Reads 0
Downloads 0

Distributed algorithms are increasingly being used to solve the economic dispatch problem of integrated energy system (IES) as their high flexibility, strong robustness, but those algorithms also bring more risk of cyber-attacks in IES. To solve this problem, this paper investigates the distributed robust economic dispatch problem of IES under cyber-attacks. Firstly, as the first line of defense against attacks, a privacy-preserving protocol is designed for covering up some vital information used for economic dispatch of IES. On this basis, a distributed robust economic dispatch strategy is presented to achieve the energy management of IES in the presence of misbehaving units, which consists of a neighbors-observe-based detection process and a reputation-based isolation process. The proposed strategy is implemented in a fully distributed fashion and possesses strong robustness against various colluding and non-colluding attacks. In addition, the strategy can not only ensure the reliability of information transmission among energy units, but also solve the problem of incorrect measurement of distributed load data caused by cyber-attacks. Finally, the effectiveness of the proposed strategy is illustrated by simulation cases on a 39-32 power-heat integrated energy system.

ACS Style

Bonan Huang; Yushuai Li; Fengnan Zhan; Qiuye Sun; Huaguang Zhang. A Distributed Robust Economic Dispatch Strategy for Integrated Energy System Considering Cyber-Attacks. IEEE Transactions on Industrial Informatics 2021, PP, 1 -1.

AMA Style

Bonan Huang, Yushuai Li, Fengnan Zhan, Qiuye Sun, Huaguang Zhang. A Distributed Robust Economic Dispatch Strategy for Integrated Energy System Considering Cyber-Attacks. IEEE Transactions on Industrial Informatics. 2021; PP (99):1-1.

Chicago/Turabian Style

Bonan Huang; Yushuai Li; Fengnan Zhan; Qiuye Sun; Huaguang Zhang. 2021. "A Distributed Robust Economic Dispatch Strategy for Integrated Energy System Considering Cyber-Attacks." IEEE Transactions on Industrial Informatics PP, no. 99: 1-1.

Journal article
Published: 27 April 2021 in IEEE Transactions on Industrial Informatics
Reads 0
Downloads 0

For the integrated energy system (IES) formed by a cluster of energy hubs (EHs), the outputs of EHs and system parameters, which greatly influence the security performance, should be properly adjusted. An event-triggered distributed hybrid control scheme is proposed to achieve security and economic operation. Firstly, the EH outputs control is designed based on the features of energy networks as well as the containment and consensus algorithms. According to the control of outputs, the electricity and heat loads power can both be accurately shared without knowing network parameters. Secondly, the pressure is bounded within an acceptable range and the frequency is reverted to the reference value by implementing proposed control method. Thirdly, an event-triggered communication strategy is employed to design the corresponding protocols, resulting in reduced communication cost. Finally, the control of devices based on equal incremental principle is proposed to achieve minimal economic cost with considering energy prices.

ACS Style

Ning Zhang; Qiuye Sun; Lingxiao Yang; Yushuai Li. Event-Triggered Distributed Hybrid Control Scheme for the Integrated Energy System. IEEE Transactions on Industrial Informatics 2021, PP, 1 -1.

AMA Style

Ning Zhang, Qiuye Sun, Lingxiao Yang, Yushuai Li. Event-Triggered Distributed Hybrid Control Scheme for the Integrated Energy System. IEEE Transactions on Industrial Informatics. 2021; PP (99):1-1.

Chicago/Turabian Style

Ning Zhang; Qiuye Sun; Lingxiao Yang; Yushuai Li. 2021. "Event-Triggered Distributed Hybrid Control Scheme for the Integrated Energy System." IEEE Transactions on Industrial Informatics PP, no. 99: 1-1.

Journal article
Published: 12 April 2021 in IEEE Transactions on Automation Science and Engineering
Reads 0
Downloads 0

In the real-time status monitoring of pipeline network, incomplete pressure data are unavoidable due to some device or communication errors. To solve this problem, a hierarchical data recovery method based on generative adversarial networks (GANs) is proposed in this article. First, a hierarchical data recovery framework is proposed to handle different numbers of incomplete data due to the structure of the semicentral pipeline network. Second, a joint attention module is presented to capture both interior nature and correlation relationships of multivariate pressure series and further guarantee the consistency of pressure data. Third, the macromicrodual discriminators are proposed to evaluate the recovery result through the combination of the local and global variation in temporal and spatial dependencies. Based on the novel structures, the proposed model is able to recover incomplete data with abnormal fluctuation values, unreasonable fixed values, or missing values. Finally, under a series of data recovery experiments, the efficiency of the proposed method is evaluated. Experimental results demonstrate that the proposed method is a practical way to ensure data recovery performance in the pipeline network.

ACS Style

Xuguang Hu; Huaguang Zhang; Dazhong Ma; Rui Wang. Hierarchical Pressure Data Recovery for Pipeline Network via Generative Adversarial Networks. IEEE Transactions on Automation Science and Engineering 2021, PP, 1 -11.

AMA Style

Xuguang Hu, Huaguang Zhang, Dazhong Ma, Rui Wang. Hierarchical Pressure Data Recovery for Pipeline Network via Generative Adversarial Networks. IEEE Transactions on Automation Science and Engineering. 2021; PP (99):1-11.

Chicago/Turabian Style

Xuguang Hu; Huaguang Zhang; Dazhong Ma; Rui Wang. 2021. "Hierarchical Pressure Data Recovery for Pipeline Network via Generative Adversarial Networks." IEEE Transactions on Automation Science and Engineering PP, no. 99: 1-11.

Journal article
Published: 08 March 2021 in IEEE Transactions on Power Delivery
Reads 0
Downloads 0

Multi-port solid-state transformer (SST) characterized by high scalability is expected to be widely used in AC/DC hybrid microgrid. However, the DC bus voltage deviation and dynamic response speed are two key issues in its application. Therefore, a model predictive direct power control (MPDPC) of the three-port SST (TPSST) is proposed. Compared with the traditional PI-based method, the oscillation of the DC bus voltage is inhibited, and the steady-state performance is improved with the MPDPC method. Moreover, a direct power path is incorporated into the control system in order to integrate the rectifier and dual active bridge (DAB) stage. This power path delivers the power required by the load to the DAB stage and the rectifier stage for power control, thereby improving the dynamic response of the system in the process. Besides, since the MPDPC strategy is a control scheme for the whole system, the design of the control system is simplified. Finally, a low power prototype has been built and tested, and the experimental comparison with the traditional voltage control (TVC) and model predictive voltage control (MPVC) method verifies the efficiency improvement of the proposed control strategy.

ACS Style

Qiuye Sun; Yuyang Li; Dazhong Ma; Yi Zhang; Dehao Qin. Model Predictive Direct Power Control of Three-port Solid-State Transformer for Hybrid AC/DC Zonal Microgrid Applications. IEEE Transactions on Power Delivery 2021, PP, 1 -1.

AMA Style

Qiuye Sun, Yuyang Li, Dazhong Ma, Yi Zhang, Dehao Qin. Model Predictive Direct Power Control of Three-port Solid-State Transformer for Hybrid AC/DC Zonal Microgrid Applications. IEEE Transactions on Power Delivery. 2021; PP (99):1-1.

Chicago/Turabian Style

Qiuye Sun; Yuyang Li; Dazhong Ma; Yi Zhang; Dehao Qin. 2021. "Model Predictive Direct Power Control of Three-port Solid-State Transformer for Hybrid AC/DC Zonal Microgrid Applications." IEEE Transactions on Power Delivery PP, no. 99: 1-1.

Journal article
Published: 25 January 2021 in IEEE Access
Reads 0
Downloads 0

There are the transmission loss of the electric power network, the delay and loss of the heating network, the insufficient utilization of flexible resources such as energy storage in the integrated electric-heat system, which may lead to the imbalance of supply and demand and energy waste. In this paper, the coordinated dispatch of integrated electric-heat system (IEHS) considering the transmission characteristics of the electric power network and heating network, which is formulated as a convex quadratic program. The strong linkage of electric power and heat supplies can be decoupled to reduce wind power curtailment by exploiting the energy storage and regulation capabilities of the district heating network (DHN), storage batteries, electric boilers (EBs) and heat storage tanks (HSs). The energy storage system works according to the situation division strategy designed in this paper. This paper introduces the wind curtailment boundary power and optimizes dispatch based on the wind curtailment boundary power and unit output, which can make full use of the energy storage capacity and reduce the wind abandonment power. Since the electric power system (EPS) and the distribution heating system (DHS) are controlled separately by different operation organizations, IEHS is solved using double- $\lambda $ iterative algorithm. The double- $\lambda $ iterative algorithm, with guaranteed convergence for convex programs, can achieve a fully distributed solution for the IEHS and requires only a small amount boundary information exchange between the EPS and the DHS. At last, one integrated electric-heat system was studied to demonstrate the effectiveness of the proposed method which achieves the effective solution in a moderate number of iterations. This system includes two 10-nodes heating system and one 14-nodes electric power system.

ACS Style

Xinrui Liu; Fujia Zhang; Qiuye Sun; Weiyang Zhong. Multi-Objective Optimization Strategy of Integrated Electric-Heat System Based on Energy Storage Situation Division. IEEE Access 2021, 9, 19004 -19024.

AMA Style

Xinrui Liu, Fujia Zhang, Qiuye Sun, Weiyang Zhong. Multi-Objective Optimization Strategy of Integrated Electric-Heat System Based on Energy Storage Situation Division. IEEE Access. 2021; 9 ():19004-19024.

Chicago/Turabian Style

Xinrui Liu; Fujia Zhang; Qiuye Sun; Weiyang Zhong. 2021. "Multi-Objective Optimization Strategy of Integrated Electric-Heat System Based on Energy Storage Situation Division." IEEE Access 9, no. : 19004-19024.

Journal article
Published: 11 January 2021 in IEEE Transactions on Energy Conversion
Reads 0
Downloads 0

In practical microgrids, the inhomogeneous initial values are widely appeared due to soft-starting operation. If traditional model order reduction approaches are applied, the input-output maps error between the original system and reduced-order system is large. To address this problem, this paper proposes a reduced-order aggregate model based on balanced truncation approach to provide the preprocessing approach for the real-time simulation of large-scale converters with inhomogeneous initial conditions in DC microgrid. Firstly, the standard linear time-invariant model with inhomogeneous initial conditions is established through non-leader multiagents concept. To end this, it is convenient for scholars to build complex system modeling with switched topology. Furthermore, the full system is divided into two components, i.e., the unforced component with nontrivial initial conditions and forced component with null initial conditions. Moreover, this paper proposes an aggregated approach that involves independent reducing component responses and combining reducing component responses. Based on this, the input-output maps error is reduced. Then, the approximated error estimate of the reduced-order aggregate model regarding large-scale converters in DC microgrid is first provided, which provides prior knowledge and theoretical basis for DC microgrid designers. Finally, the simulation results illustrate the accuracy of the proposed approach.

ACS Style

Rui Wang; Qiuye Sun; Pengfei Tu; Jianfang Xiao; Yonghao Gui; Peng Wang. Reduced-Order Aggregate Model for Large-Scale Converters With Inhomogeneous Initial Conditions in DC Microgrids. IEEE Transactions on Energy Conversion 2021, 36, 2473 -2484.

AMA Style

Rui Wang, Qiuye Sun, Pengfei Tu, Jianfang Xiao, Yonghao Gui, Peng Wang. Reduced-Order Aggregate Model for Large-Scale Converters With Inhomogeneous Initial Conditions in DC Microgrids. IEEE Transactions on Energy Conversion. 2021; 36 (3):2473-2484.

Chicago/Turabian Style

Rui Wang; Qiuye Sun; Pengfei Tu; Jianfang Xiao; Yonghao Gui; Peng Wang. 2021. "Reduced-Order Aggregate Model for Large-Scale Converters With Inhomogeneous Initial Conditions in DC Microgrids." IEEE Transactions on Energy Conversion 36, no. 3: 2473-2484.

Article
Published: 09 January 2021 in International Journal of Control, Automation and Systems
Reads 0
Downloads 0

For the quasi-Z-source inverter (qZSI), capacitor voltage stability control, high performance of the inductor current reference tracking and fast response of the active/reactive power are key issues. Thus, a decoupled active/reactive power model predictive control (MPC) of the qZSI for distributed generations (DGs) is proposed to fulfill these requirements without additional control loops. Firstly, the digital observer is constructed to remove the utilization of the front voltage sensor and reduce the number of hardware equipment. Moreover, based on the advance determination of the system operation mode and the simplified cost function, the calculation complexity of the proposed MPC algorithm is simplified. Further, the proposed improved MPC method with the digital observer is proved to achieve the high accuracy and the zero prediction error, of which stability is demonstrated through Lyapunov stability criteria. Eventually, the proposed controller is compared with conventional MPC and PI controller in detail and its effectiveness is verified by both simulation and experimental results from a grid-connected qZSI.

ACS Style

Dazhong Ma; Ke Cheng; Rui Wang; Sen Lin; Xiangpeng Xie. The Decoupled Active/Reactive Power Predictive Control of Quasi-Z-source Inverter for Distributed Generations. International Journal of Control, Automation and Systems 2021, 19, 810 -822.

AMA Style

Dazhong Ma, Ke Cheng, Rui Wang, Sen Lin, Xiangpeng Xie. The Decoupled Active/Reactive Power Predictive Control of Quasi-Z-source Inverter for Distributed Generations. International Journal of Control, Automation and Systems. 2021; 19 (2):810-822.

Chicago/Turabian Style

Dazhong Ma; Ke Cheng; Rui Wang; Sen Lin; Xiangpeng Xie. 2021. "The Decoupled Active/Reactive Power Predictive Control of Quasi-Z-source Inverter for Distributed Generations." International Journal of Control, Automation and Systems 19, no. 2: 810-822.

Journal article
Published: 05 January 2021 in IEEE Transactions on Power Electronics
Reads 0
Downloads 0

The droop control is an advantageous approach for stand-alone supply systems consisting of multiple batteries, allowing among various inverters without intercommunication. The droop coefficients of batteries always vary with their state-of-charge (SoC) and charge/discharge mode, resulting in small-signal instability. Nevertheless, the existing impedance-based approaches can only assess the droop coefficients stability point, but not the stability region. Therefore, this paper proposes a droop coefficients stability region analysis approach. Firstly, the charge/discharge SoC-based droop controlled battery, the $P\&Q$ controlled distributed generator and the constant power load are separately discussed. Meanwhile, the state matrix and return-ratio matrix are established, respectively. Furthermore, the novel forbidden region criterion based on the return-ratio matrix is constructed, which reduces conservatism compared with norm-based impedance criteria and partial forbidden region criteria. Such a forbidden region criterion is first switched to the Hurwitz identification problem regarding the equivalent return-ratio matrix. Combined the state matrix and the equivalent return-ratio matrix, the generalized incidence matrix is constructed to simultaneously identify subsystem stability and interactive stability. Based on the generalized incidence matrix, an adaptive step search strategy is proposed to obtain the droop coefficients coordinated stability region. Finally, the simulation and experimental results illustrate the validity of the proposed method.

ACS Style

Rui Wang; Qiuye Sun; Wei Hu; Yushuai Li; Dazhong Ma; Peng Wang. SoC-Based Droop Coefficients Stability Region Analysis of the Battery for Stand-Alone Supply Systems With Constant Power Loads. IEEE Transactions on Power Electronics 2021, 36, 7866 -7879.

AMA Style

Rui Wang, Qiuye Sun, Wei Hu, Yushuai Li, Dazhong Ma, Peng Wang. SoC-Based Droop Coefficients Stability Region Analysis of the Battery for Stand-Alone Supply Systems With Constant Power Loads. IEEE Transactions on Power Electronics. 2021; 36 (7):7866-7879.

Chicago/Turabian Style

Rui Wang; Qiuye Sun; Wei Hu; Yushuai Li; Dazhong Ma; Peng Wang. 2021. "SoC-Based Droop Coefficients Stability Region Analysis of the Battery for Stand-Alone Supply Systems With Constant Power Loads." IEEE Transactions on Power Electronics 36, no. 7: 7866-7879.

Journal article
Published: 18 December 2020 in IEEE Transactions on Instrumentation and Measurement
Reads 0
Downloads 0

Due to the widely deployed sensors in pipeline network, the data-driven detection method is a natural choice with multiple sensor measurements. However, the incomplete data problem caused by device failure or network interruption seriously hinders the implementation of pipeline status monitoring. Aiming at this difficulty, this paper proposes a generative adversarial networks based on tri-networks form (tnGAN) to handle leak detection problem with incomplete sensor data. Firstly, the generative model is proposed to recover incomplete data through fully exploiting the same-level nature similarity of data features. Therein, the same type of sensor data, obtained from pipeline network, is used as the input. Next, to further boost the temporal evolvement characteristics and the spatial similarity, a multi-view awareness strategy is incorporated in the established model to facilitate the integration of inherent information. Then a dual-discriminative network architecture is proposed to detect pipeline status through computing the similarity of the latent features of samples. With the above mentioned structure, the proposed method can achieve different incomplete data recovery situation such as individual lost and random missing. Additionally, it can also aggregate the output and features of the discriminative networks to obtain the pipeline leak detection result. Finally, the experiment results on a pipeline network demonstrate that the capability and effectiveness of the proposed method in both data recovery and leak detection.

ACS Style

Xuguang Hu; Huaguang Zhang; Dazhong Ma; Rui Wang. A tnGAN-Based Leak Detection Method for Pipeline Network Considering Incomplete Sensor Data. IEEE Transactions on Instrumentation and Measurement 2020, 70, 1 -10.

AMA Style

Xuguang Hu, Huaguang Zhang, Dazhong Ma, Rui Wang. A tnGAN-Based Leak Detection Method for Pipeline Network Considering Incomplete Sensor Data. IEEE Transactions on Instrumentation and Measurement. 2020; 70 (99):1-10.

Chicago/Turabian Style

Xuguang Hu; Huaguang Zhang; Dazhong Ma; Rui Wang. 2020. "A tnGAN-Based Leak Detection Method for Pipeline Network Considering Incomplete Sensor Data." IEEE Transactions on Instrumentation and Measurement 70, no. 99: 1-10.

Journal article
Published: 01 December 2020 in IEEE Transactions on Systems, Man, and Cybernetics: Systems
Reads 0
Downloads 0

This article investigates the energy operation problem based on We-Energy (WE), a novel full-duplex model in Energy Internet (EI). A dual-objective optimal energy operation model of WE is formulated with the consideration of economical benefit and security operation under different time scenarios. Due to the inaccurate model of distributed generation devices and loads, a multipolicy convex hull reinforcement learning (MCRL) algorithm is proposed. It can find the multiobjective strategy set with model-free feature. Moreover, considering the limitations of artificial intelligence technology and the human advantages in information processing for complex task, a two-channel Human-in-the-loop (HITL) method is designed to combine with MCRL to avoid decision-making risks. The one channel of HITL can evaluate the operation strategy by human under normal conditions so that the understanding of human for complex operating conditions can be incorporated into the machine learning algorithms to improve the confidence of intelligent systems. The other channel of HITL can allow human to participate in real-time adjustment under abnormal conditions to avoid system out of control. Simulation studies of modified EI are confirmed that the proposed algorithm can improve system performance effectively.

ACS Style

Lingxiao Yang; Qiuye Sun; Ning Zhang; Zhenwei Liu. Optimal Energy Operation Strategy for We-Energy of Energy Internet Based on Hybrid Reinforcement Learning With Human-in-the-Loop. IEEE Transactions on Systems, Man, and Cybernetics: Systems 2020, PP, 1 -11.

AMA Style

Lingxiao Yang, Qiuye Sun, Ning Zhang, Zhenwei Liu. Optimal Energy Operation Strategy for We-Energy of Energy Internet Based on Hybrid Reinforcement Learning With Human-in-the-Loop. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2020; PP (99):1-11.

Chicago/Turabian Style

Lingxiao Yang; Qiuye Sun; Ning Zhang; Zhenwei Liu. 2020. "Optimal Energy Operation Strategy for We-Energy of Energy Internet Based on Hybrid Reinforcement Learning With Human-in-the-Loop." IEEE Transactions on Systems, Man, and Cybernetics: Systems PP, no. 99: 1-11.

Journal article
Published: 17 November 2020 in IEEE Transactions on Systems, Man, and Cybernetics: Systems
Reads 0
Downloads 0

The high penetration of renewable energy sources always leads to the fluctuation of the droop coefficients which are designed in inverse proportion to their rated capacity, and power electronics devices are prone to static instability. Although the impedance-based approaches have been widely studied to deal with this problem, the stability-oriented droop coefficients region identification due to the fluctuation of renewable energy sources is not provided. Thus, this article proposes an impedance-based approach to assess the droop coefficients stability region in the power system consisting of numerous distributed generators (DGs). First, the modified phase margin and opposing argument (MPMOA) forbidden criterion is constituted to acquire the complementary space of the droop coefficients stability region. The MPMOA forbidden criterion is first transformed into the condition that the generalized return-ratio matrix is Hurwitz through mirror, rotation, and translation mapping. In comparison with the previous simplified stability criteria, the conservatism of the proposed criterion is reduced a lot. Thereafter, the droop coefficients stability region is directly calculated by the generalized return-ratio matrix and guardian map theory. Eventually, the simulation and experimental results are provided to validate the conservatism and effectiveness of the impedance-based stability region identification approach. Therein, the simulation results illustrate that the proposed droop coefficients stability operation criterion has lower conservatism than these of the previous simplified stability criteria. Furthermore, the simulation and experimental results illustrate that the proposed stability-oriented droop coefficients region identification approach can provide an effective parameter stability region.

ACS Style

Rui Wang; Qiuye Sun; Wei Hu; Jianfang Xiao; Huaguang Zhang; Peng Wang. Stability-Oriented Droop Coefficients Region Identification for Inverters Within Weak Grid: An Impedance-Based Approach. IEEE Transactions on Systems, Man, and Cybernetics: Systems 2020, 51, 2258 -2268.

AMA Style

Rui Wang, Qiuye Sun, Wei Hu, Jianfang Xiao, Huaguang Zhang, Peng Wang. Stability-Oriented Droop Coefficients Region Identification for Inverters Within Weak Grid: An Impedance-Based Approach. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2020; 51 (4):2258-2268.

Chicago/Turabian Style

Rui Wang; Qiuye Sun; Wei Hu; Jianfang Xiao; Huaguang Zhang; Peng Wang. 2020. "Stability-Oriented Droop Coefficients Region Identification for Inverters Within Weak Grid: An Impedance-Based Approach." IEEE Transactions on Systems, Man, and Cybernetics: Systems 51, no. 4: 2258-2268.

Journal article
Published: 23 October 2020 in Energy
Reads 0
Downloads 0

This paper proposes a two-stage multi-objective optimal scheduling strategy (TMOS) based on the innovative mathematical model of We-Energy (WE) in the integrated energy system (IES). WE, as a new-style energy unit with full duplex and multi-energy carrier coupling interaction, is necessary to provide a mathematical model to solve the schema translation problem for the scheduling of the WE. Therefore, a WE mathematical model based on Hadamard Product is presented which can clearly show the dynamic properties of internal elements and the full duplex characteristic of the WE. Namely, the optimization model for the WE can be easily and compactly established by utilizing the proposed method. Furthermore, in order to reduce the unfavorable effects of the renewable energy (RE) uncertainty and realize the energy management of the WE, a TMOS on account of the proposed mathematical model is presented to dispatch the WE operation. The comprehensive impact of multiple significant operation indicators is considered in TMOS which conventional methods ignored. The economic benefit and customer satisfaction can be improved by the first-stage of TMOS according to the energy price and the day-ahead forecasting of RE generation. Meanwhile, the TMOS can reduce the impact of the RE prediction error to realize the real-time power balancing and ensure the security operation by regulating the components of the WE in the second-stage dispatch. The proposed strategy is demonstrated by two example cases, where the performance of the TMOS is observed. The consequences of the cases are analyzed in view of the energy exchanges with networks and the outputs of elements in the presented condition. Moreover, the contrast of the proposed optimal scheduling with another traditional optimal method is also discussed in the paper. As the results shown in the cases, the TMOS based on the innovative WE model balances the forecast error and has more benefits in networks influence, customer satisfaction and residual capacity indicator.

ACS Style

Ning Zhang; Qiuye Sun; Lingxiao Yang. A two-stage multi-objective optimal scheduling in the integrated energy system with We-Energy modeling. Energy 2020, 215, 119121 .

AMA Style

Ning Zhang, Qiuye Sun, Lingxiao Yang. A two-stage multi-objective optimal scheduling in the integrated energy system with We-Energy modeling. Energy. 2020; 215 ():119121.

Chicago/Turabian Style

Ning Zhang; Qiuye Sun; Lingxiao Yang. 2020. "A two-stage multi-objective optimal scheduling in the integrated energy system with We-Energy modeling." Energy 215, no. : 119121.

Journal article
Published: 20 October 2020 in Energies
Reads 0
Downloads 0

The electricity-heat integrated system can realize the cascade utilization of energy and the coordination and complementarity between multiple energy sources. In this paper, considering the thermal comfort of users, taking into account the difference in dynamic characteristics of electric and heating networks and the response of users’ demands, a dispatch model is constructed. In this model, taking into account the difference in the time scale of electric and thermal dispatching, optimization of the system can be improved by properly extending the thermal balance cycle of the combined heat and power (CHP) unit. Based on the time-of-use electricity prices and heat prices to obtain the optimal energy purchase cost, a user demand response strategy is adopted. Therefore, a minimum economic cost on the energy supply side and a minimum energy purchase cost on the demand side are considered as a bilevel optimization strategy for the operation of the system. Finally, using an IEEE 30 nodes power network and a 31 nodes heating network to form an electricity-heat integrated system, the simulation results show that the optimal thermal balance cycle can maximize the economic benefits on the premise of meeting the users’ thermal comfort and the demand response can effectively realize the wind curtailment and improve the system economy.

ACS Style

Xin-Rui Liu; Si-Luo Sun; Qiu-Ye Sun; Wei-Yang Zhong. Time-Scale Economic Dispatch of Electricity-Heat Integrated System Based on Users’ Thermal Comfort. Energies 2020, 13, 5505 .

AMA Style

Xin-Rui Liu, Si-Luo Sun, Qiu-Ye Sun, Wei-Yang Zhong. Time-Scale Economic Dispatch of Electricity-Heat Integrated System Based on Users’ Thermal Comfort. Energies. 2020; 13 (20):5505.

Chicago/Turabian Style

Xin-Rui Liu; Si-Luo Sun; Qiu-Ye Sun; Wei-Yang Zhong. 2020. "Time-Scale Economic Dispatch of Electricity-Heat Integrated System Based on Users’ Thermal Comfort." Energies 13, no. 20: 5505.

Research article
Published: 08 October 2020 in IET Power Electronics
Reads 0
Downloads 0

Although the control strategy regarding quasi-Z-source inverter (qZSI) has been widely studied, the dynamic response and steady-state accuracy of the system with a non-linear section should be further improved. Based on this, this study proposes an energy shaping control (ESC) method based on the port-controlled Hamiltonian (PCH) model for qZSIs. Firstly, based on the average state-space model, the PCH model of the qZSI system is first built, which is an indispensable preprocessing for the following controller design. Based on the proposed model, the ESC method combining the interconnect matrix with damping configuration is proposed to improve the dynamic response and steady-state accuracy, which is verified through comparing with several existing linear and non-linear control strategies in detail. Finally, simulation and experimental results verify the effectiveness of the proposed method.

ACS Style

Dazhong Ma; Zhiyang Cai; Rui Wang; Qiuye Sun; Peng Wang. Energy shaping controller design of three‐phase quasi‐Z‐source inverter for grid‐tie. IET Power Electronics 2020, 13, 3601 -3612.

AMA Style

Dazhong Ma, Zhiyang Cai, Rui Wang, Qiuye Sun, Peng Wang. Energy shaping controller design of three‐phase quasi‐Z‐source inverter for grid‐tie. IET Power Electronics. 2020; 13 (16):3601-3612.

Chicago/Turabian Style

Dazhong Ma; Zhiyang Cai; Rui Wang; Qiuye Sun; Peng Wang. 2020. "Energy shaping controller design of three‐phase quasi‐Z‐source inverter for grid‐tie." IET Power Electronics 13, no. 16: 3601-3612.

Journal article
Published: 11 September 2020 in Energy
Reads 0
Downloads 0

Multi-energy flow (MEF) analysis is the most fundamental issue in studying multi-energy carrier (MEC) systems. In the tight coupling MEC systems, the unified energy flow analysis is indispensable to tackle the problems of accuracy and in decomposition. Therefore, on the basis of the comprehensive node classification and modified Jacobian matrix, this paper proposes a unified energy flow analysis approach with Newton method considering initial guesses selection for complex MEC systems including electrical, gas, heating sub-networks. This approach is based on the presented convergence theorem, which can determine in advance whether the initialization can converge to results, since the Newton method, the main approach of the unified energy flow analysis, is sensitive to its initial guesses selection. Once the initialization can not converge, the proposed approach can help selecting proper initial guesses for Newton method to guarantee the convergence of the unified energy flow. Several cases are studied to demonstrate the effectiveness and applicability of the proposed approach on judging and choosing initialization for the unified energy flow analysis.

ACS Style

Qiuye Sun; Qianyu Dong; Shi You; Zhibo Li; Rui Wang. A unified energy flow analysis considering initial guesses in complex multi-energy carrier systems. Energy 2020, 213, 118812 .

AMA Style

Qiuye Sun, Qianyu Dong, Shi You, Zhibo Li, Rui Wang. A unified energy flow analysis considering initial guesses in complex multi-energy carrier systems. Energy. 2020; 213 ():118812.

Chicago/Turabian Style

Qiuye Sun; Qianyu Dong; Shi You; Zhibo Li; Rui Wang. 2020. "A unified energy flow analysis considering initial guesses in complex multi-energy carrier systems." Energy 213, no. : 118812.