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Prof. Xiangjun Li
China Electric Power Research Institute

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Research Keywords & Expertise

0 Renewable Energy
0 System Control
0 Energy Storage and Application
0 battery application
0 Power system control and dynamics

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Energy Storage and Application
Renewable Energy
System Control

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Short Biography

Li Xiangjun (李相俊) was born in Jan.1979. Fellow of IET, CEng of Engineering Council UK, and Senior Member of IEEE. Research Fellow Engineer (教授级高级工程师). Master Supervisor of China Electric Power Research Institute. Outstanding Experts of STATE GRID Corporation of China. He received the B.E. degree in electrical engineering from Shenyang University of Technology, China, in 2001, and the M.E. and Ph. D. degrees in electrical and electronic engineering from Kitami Institute of Technology (KIT), Japan, in Mar. 2004 and Mar. 2006. Since May 2006, he has worked as a postdoctoral researcher in Electric Energy and Lighting Center, Korea Institute of Energy Research (KIER), Korea and researched on control systems of micro-grid and fuel cell hybrid vehicle, including PEM fuel cell system control. Since Jan. 2008, he has worked as a postdoctoral researcher in State Key Laboratory of Automotive Safety and Energy, Tsinghua University, China and researched on the control systems of fuel cell hybrid vehicle and micro-grids and the developments of vehicle control unit (VCU) and battery management system (BMS). In March 2010, he joined the Electrical Engineering Department, China Electric Power Research Institute (CEPRI), Beijing, China, where he has been engaged in the topic of integration/control/SCADA/application technologies for large-scale battery energy storage system/stations, wind/PV/battery hybrid generation systems, and micro-grids.

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Research article
Published: 05 August 2021 in International Transactions on Electrical Energy Systems
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The combination of a virtual power plant (VPP) and an active distribution network (ADN) can be used to aggregate distributed energy resources of prosumers. The bi-directional power flow and information flow between prosumers ensure close coupling and interdependence of the power system and the cyber system so that the VPP gradually evolves into a typical cyber-physical system (CPS). However, even a small cyber attack on the CPS system significantly affects the security and integrity of the VPP. To study robustness of CPS in the VPP, a novel stochastic cascading failure model based on the complex network theory is introduced, considering the impact of various interdependencies and network relationships. First, the centralized and decentralized multi-agent system (MAS) structures in the VPP are investigated, and the fault propagation mechanism and cascading failure process of the CPS network are established. Secondly, a simple and effective comparison method is proposed to analyze the different network relationships and coupling interdependencies. Thirdly, A new multiple-to-multiple inter-links addition strategy is proposed to enhance the protection of key nodes, and mainly focus on researching the intra- and inter-links addition sensitivity analysis. The numerical simulation shows that optimal network relationship, coupling interdependency, and intra-links addition strategy are determined by the proposed robustness metrics.

ACS Style

Xiaxiang Gao; Xiangjun Li; Xiyun Yang. Robustness assessment of the cyber‐physical system against cascading failure in a virtual power plant based on complex network theory. International Transactions on Electrical Energy Systems 2021, e13039 .

AMA Style

Xiaxiang Gao, Xiangjun Li, Xiyun Yang. Robustness assessment of the cyber‐physical system against cascading failure in a virtual power plant based on complex network theory. International Transactions on Electrical Energy Systems. 2021; ():e13039.

Chicago/Turabian Style

Xiaxiang Gao; Xiangjun Li; Xiyun Yang. 2021. "Robustness assessment of the cyber‐physical system against cascading failure in a virtual power plant based on complex network theory." International Transactions on Electrical Energy Systems , no. : e13039.

Journal article
Published: 12 April 2021 in Sustainability
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The virtual synchronous generator (VSG), which emulates the essential behavior of the conventional synchronous generator, has attracted great attention. This paper proposes to analyze the harmonic resonance characteristics in VSG using the state-space model. The analysis is based on a full-order state-space small-signal model that fully considers the dynamic of the inner loops and the VSG-based outer power control loop. Participation analysis is used to point out the contributions of different states to the eigenvalues. Moreover, eigenvalue locus and singular value decomposition (SVD) are applied together to evaluate the impact of the inner loop parameters on the harmonic resonance characteristics around the LCL filter resonance frequency. The analysis indicates that the harmonic resonance instability is mainly caused by decreasing the proportional gains of the current loop and the voltage loop. Finally, extensive numerical simulation and experimental results are given to verify the validity of the theoretical analysis. Both the simulation and experimental results indicate that the voltage of the common coupling point is unstable after decreasing the proportional gains of the current and voltage controllers. As K pc decreases from 5 to 0.4 or K pv decreases from 0.6 to 0.2, the harmonic distortion factor (HDF) around the LCL filter resonance frequency increases. Furthermore, the consistency of simulation results, experimental results, and the theoretical analysis results is validated.

ACS Style

Jingya Jiang; Wei Wang; Xuezhi Wu; Fen Tang; Zhengwen Yang; Xiangjun Li. Analysis of Harmonic Resonance Characteristics in Grid-Connected LCL Virtual Synchronous Generator. Sustainability 2021, 13, 4261 .

AMA Style

Jingya Jiang, Wei Wang, Xuezhi Wu, Fen Tang, Zhengwen Yang, Xiangjun Li. Analysis of Harmonic Resonance Characteristics in Grid-Connected LCL Virtual Synchronous Generator. Sustainability. 2021; 13 (8):4261.

Chicago/Turabian Style

Jingya Jiang; Wei Wang; Xuezhi Wu; Fen Tang; Zhengwen Yang; Xiangjun Li. 2021. "Analysis of Harmonic Resonance Characteristics in Grid-Connected LCL Virtual Synchronous Generator." Sustainability 13, no. 8: 4261.

Conference paper
Published: 11 March 2021 in E3S Web of Conferences
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The large-scale battery energy storage scatted accessing to distribution power grid is difficult to manage, which is difficult to make full use of its fast response ability in peak shaving and frequency modulation. With the rapid development of 5G and cloud technology, it is possible to realize interconnection of distributed battery energy storage system (BESS), cloud integration of energy storage system (ESS) and data edge computing. In this paper, a BESS integration and monitoring method based on 5G and cloud technology is proposed, containing the system overall architecture, 5G key technology points, system margin calculation. Therefore, rapid, accurate and flexible control of BESS can be realized, which make more use of BESS in peak shaving and shifting, new energy consumption, electric power bidding platform and other fields.

ACS Style

Xiangjun Li; Lizhi Dong; Shaohua Xu. Battery Energy Storage System Integration and Monitoring Method Based on 5G and Cloud Technology. E3S Web of Conferences 2021, 243, 01007 .

AMA Style

Xiangjun Li, Lizhi Dong, Shaohua Xu. Battery Energy Storage System Integration and Monitoring Method Based on 5G and Cloud Technology. E3S Web of Conferences. 2021; 243 ():01007.

Chicago/Turabian Style

Xiangjun Li; Lizhi Dong; Shaohua Xu. 2021. "Battery Energy Storage System Integration and Monitoring Method Based on 5G and Cloud Technology." E3S Web of Conferences 243, no. : 01007.

Journal article
Published: 11 February 2021 in IEEE Transactions on Energy Conversion
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Accurate and reliable capacity estimation for lithium-ion batteries adapting to uncertain environment plays a significant role in the fields of electric vehicles and renewable energy systems. This paper proposes a novel capacity fusion estimation approach based on three-parameter capacity fade model and constant current charging curves using dual unscented Kalman filters. In view of the battery cycle aging problem under variable temperature situation, a three-parameter capacity fade model is introduced to continuously estimate the battery cell capacity for unknown changes of ambient temperature. Nevertheless, the model parameters may mismatch in real applications, so the first unscented Kalman filter views the discrete capacities based on constant current charging curves as observations to periodically update the parameters. Thereafter, the second one performs a fusion operation depending on the capacities estimated by constant current charging curves and the three-parameter capacity fade model with the corrected parameters, so as to improve the capacity estimation accuracy online. The results show that the fusion estimation errors of capacity are controlled within 2% by updating the model parameters, and the robustness of the proposed method is also validated.

ACS Style

Tao Sun; Sheng Jiang; Xiangjun Li; Yifan Cui; Xin Lai; Xiangjin Wang; Yuhan Ma; Yuejiu Zheng. A Novel Capacity Estimation Approach for Lithium-Ion Batteries Combining Three-Parameter Capacity Fade Model With Constant Current Charging Curves. IEEE Transactions on Energy Conversion 2021, 36, 2574 -2584.

AMA Style

Tao Sun, Sheng Jiang, Xiangjun Li, Yifan Cui, Xin Lai, Xiangjin Wang, Yuhan Ma, Yuejiu Zheng. A Novel Capacity Estimation Approach for Lithium-Ion Batteries Combining Three-Parameter Capacity Fade Model With Constant Current Charging Curves. IEEE Transactions on Energy Conversion. 2021; 36 (3):2574-2584.

Chicago/Turabian Style

Tao Sun; Sheng Jiang; Xiangjun Li; Yifan Cui; Xin Lai; Xiangjin Wang; Yuhan Ma; Yuejiu Zheng. 2021. "A Novel Capacity Estimation Approach for Lithium-Ion Batteries Combining Three-Parameter Capacity Fade Model With Constant Current Charging Curves." IEEE Transactions on Energy Conversion 36, no. 3: 2574-2584.

Journal article
Published: 23 April 2019 in Energies
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The economic dispatch problem (EDP) is a significant class of optimization issues in the power system, which works on minimizing the total cost when generating a certain amount of power. A novel distributed approach for EDP is proposed in this paper. The presented approach consists of two steps. The first step, named absorption search, is to simplify the network structure through absorption searching. A flooding-based consensus approach is applied in the first step, which can be used to achieve consensus information among nodes. After the first step, only the generation nodes are kept in the network. The data collection can be completed by local computation and communication between neighbors. The first step can be considered as the stage of gathering information. In the second step, a distributed half-search algorithm makes the nodes obtain the final optimal solution in a distributed way. The results on three case studies demonstrate that the proposed approach is highly effective for solving the EDP.

ACS Style

Bo Li; Panpan Zhang; Xiangjun Li; Shengxian Cao. Distributed Absorption and Half-Search Approach for Economic Dispatch Problem in Smart Grids. Energies 2019, 12, 1527 .

AMA Style

Bo Li, Panpan Zhang, Xiangjun Li, Shengxian Cao. Distributed Absorption and Half-Search Approach for Economic Dispatch Problem in Smart Grids. Energies. 2019; 12 (8):1527.

Chicago/Turabian Style

Bo Li; Panpan Zhang; Xiangjun Li; Shengxian Cao. 2019. "Distributed Absorption and Half-Search Approach for Economic Dispatch Problem in Smart Grids." Energies 12, no. 8: 1527.

Conference paper
Published: 01 December 2018 in 2018 IEEE International Conference of Safety Produce Informatization (IICSPI)
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In this paper, a multi-agent system (MAS) -based hundreds megawatt-scale battery energy storage station monitoring system is proposed, which adopts the monitoring method of multi-agent zoning and hierarchical control to establish a multi-agent system at terminal level, local level and equipment level. Each energy storage converter of energy storage plant is controlled by a virtual synchronous machine, and the specific functions of each Agent and its coordination strategy are discussed to realize the real-time monitoring and operation control of the ultra-large-scale battery energy storage station in order to keep hundreds of megawatt-scale battery storage power station efficient and stable operations.

ACS Style

Yue Li; Xiangjun Li; Xuecui Jia; Rui Ma; Dong Hui. Monitoring and Control for Hundreds Megawatt Scale Battery Energy Storage Station Based on Multi-Agent: Methodology and System Design. 2018 IEEE International Conference of Safety Produce Informatization (IICSPI) 2018, 765 -769.

AMA Style

Yue Li, Xiangjun Li, Xuecui Jia, Rui Ma, Dong Hui. Monitoring and Control for Hundreds Megawatt Scale Battery Energy Storage Station Based on Multi-Agent: Methodology and System Design. 2018 IEEE International Conference of Safety Produce Informatization (IICSPI). 2018; ():765-769.

Chicago/Turabian Style

Yue Li; Xiangjun Li; Xuecui Jia; Rui Ma; Dong Hui. 2018. "Monitoring and Control for Hundreds Megawatt Scale Battery Energy Storage Station Based on Multi-Agent: Methodology and System Design." 2018 IEEE International Conference of Safety Produce Informatization (IICSPI) , no. : 765-769.

Conference paper
Published: 01 September 2018 in 2018 China International Conference on Electricity Distribution (CICED)
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The virtual power plant consisting of a large-scale energy storage system and a controllable energy source can reduce the potential safety hazards caused by the unstable output power of new energy when it is connected to the grid, thereby increasing the reliability of power supply. The energy storage system cooperates with the distributed photovoltaic and gas turbine to ensure that the virtual power plant participates in the system demand response, reduces the cost of power generation, and obtains more revenue. To this end, a virtual power plant operation strategy was designed. With the objective of maximizing the net profit of the virtual power plant in each period, a virtual power plant economic optimization configuration model was constructed, and a single-target particle swarm optimization algorithm was used to obtain the output of the energy storage system in the virtual power plant, and the signals are distributed to supercapacitors, lithium titanate batteries, and all-vanadium redox batteries through Fourier transform to realize the configuration of the energy storage system capacity and power.

ACS Style

Jia Sun; Xiangjun Li; Huimeng Ma. Study on Optimal Capacity of Multi-type Energy Storage System for Optimized Operation of Virtual Power Plants. 2018 China International Conference on Electricity Distribution (CICED) 2018, 2989 -2993.

AMA Style

Jia Sun, Xiangjun Li, Huimeng Ma. Study on Optimal Capacity of Multi-type Energy Storage System for Optimized Operation of Virtual Power Plants. 2018 China International Conference on Electricity Distribution (CICED). 2018; ():2989-2993.

Chicago/Turabian Style

Jia Sun; Xiangjun Li; Huimeng Ma. 2018. "Study on Optimal Capacity of Multi-type Energy Storage System for Optimized Operation of Virtual Power Plants." 2018 China International Conference on Electricity Distribution (CICED) , no. : 2989-2993.

Conference paper
Published: 01 September 2018 in 2018 China International Conference on Electricity Distribution (CICED)
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To take full advantage of the complementary nature of multi-type energy storage and maximally increase the capability of tracking the scheduled PV power output, a charging-discharging control strategy combining Fuzzy-Model Predictive Control (FMPC) and Variational Mode Decomposition (VMD) for a energy storage system (ESS) is proposed. Firstly, the total energy storage load can be obtained based on FMPC algorithm. Then, power allocation between multi-type power storage is achieved with VMD. A simulation analysis, taking a typical PV output as an actual data sample, showed that the proposed FMPC-VMD control method for the multi-type BESS is uniquely flexible and adaptable in achieving the control effect of improving the capability of tracking the scheduled PV power output.

ACS Style

Xi Qi; Xiangjun Li; Shan He. FMPC-VMD Based Control Strategy for Tracking Generation Plans of Multi-type Energy Storage System. 2018 China International Conference on Electricity Distribution (CICED) 2018, 2253 -2259.

AMA Style

Xi Qi, Xiangjun Li, Shan He. FMPC-VMD Based Control Strategy for Tracking Generation Plans of Multi-type Energy Storage System. 2018 China International Conference on Electricity Distribution (CICED). 2018; ():2253-2259.

Chicago/Turabian Style

Xi Qi; Xiangjun Li; Shan He. 2018. "FMPC-VMD Based Control Strategy for Tracking Generation Plans of Multi-type Energy Storage System." 2018 China International Conference on Electricity Distribution (CICED) , no. : 2253-2259.

Conference paper
Published: 01 September 2018 in 2018 China International Conference on Electricity Distribution (CICED)
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In this paper, the coordinated control strategy for energy storage to realize the island operation of micro grid is studied. Firstly, the energy storage converter model based on virtual synchronous machine control is established. Secondly, based on the stability analysis of multi-parallel connection of virtual synchronous machines in off-grid mode, it is proposed to dynamically adjust the active control parameters in the droop control by introducing state of charge (SOC) feedback to achieve reasonable distribution of active power among different energy storages. Finally, a number of energy storage systems were built on the simulink simulation platform to realize the island operation of the microgrid and verify the effectiveness of the control strategy in this paper.

ACS Style

Yue Li; Xiangjun Li; Xi Qi. Parallel Synchronization of Energy Storage System Based on Virtual Synchronizer Control. 2018 China International Conference on Electricity Distribution (CICED) 2018, 1783 -1786.

AMA Style

Yue Li, Xiangjun Li, Xi Qi. Parallel Synchronization of Energy Storage System Based on Virtual Synchronizer Control. 2018 China International Conference on Electricity Distribution (CICED). 2018; ():1783-1786.

Chicago/Turabian Style

Yue Li; Xiangjun Li; Xi Qi. 2018. "Parallel Synchronization of Energy Storage System Based on Virtual Synchronizer Control." 2018 China International Conference on Electricity Distribution (CICED) , no. : 1783-1786.

Journal article
Published: 31 August 2018 in Journal of Solar Energy Engineering
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Advanced and model-based control techniques have become prevalent in modern wind turbine controls in the past decade. These methods are more attractive compared to the commonly used proportional-integral-derivative (PID) controller, as the turbine structural flexibility is increased with multiple and coupled modes. The disturbance accommodating control (DAC) is an effective turbine control approach for the above-rated wind speed region. DAC augments the turbine state-space model with a predefined disturbance waveform model, based on which the controller reduces the impact of wind disturbances on the system output (e.g., rotor speed). However, DAC cannot completely reject the wind disturbance in certain situations, and this results in steady-state regulation errors in the turbine rotor speed and electric power. In this paper, we propose a novel wind turbine pitch control using optimal control theory. The obtained feedback and feedforward control terms function to stabilize the turbine system and reject wind disturbances, respectively, derived systematically based on the Hamilton–Jacobi–Bellman (HJB) equation. Simulation results show that the proposed method achieves desired rotor speed regulation with significantly reduced steady-state errors under turbulent winds, which is simulated on the model of the three-bladed controls advanced research turbine (CART3) using the FAST code.

ACS Style

David Wenzhong Gao; Xiao Wang; Jianhui Wang; Tianqi Gao; Margareta Stefanovic; Xiangjun Li; Wenzhong Gao. Optimal Pitch Control Design With Disturbance Rejection for the Controls Advanced Research Turbine. Journal of Solar Energy Engineering 2018, 141, 011005 .

AMA Style

David Wenzhong Gao, Xiao Wang, Jianhui Wang, Tianqi Gao, Margareta Stefanovic, Xiangjun Li, Wenzhong Gao. Optimal Pitch Control Design With Disturbance Rejection for the Controls Advanced Research Turbine. Journal of Solar Energy Engineering. 2018; 141 (1):011005.

Chicago/Turabian Style

David Wenzhong Gao; Xiao Wang; Jianhui Wang; Tianqi Gao; Margareta Stefanovic; Xiangjun Li; Wenzhong Gao. 2018. "Optimal Pitch Control Design With Disturbance Rejection for the Controls Advanced Research Turbine." Journal of Solar Energy Engineering 141, no. 1: 011005.

Conference paper
Published: 01 August 2018 in 2018 International Conference on Advanced Mechatronic Systems (ICAMechS)
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This paper puts forward an energy management strategy to control the output of the hundred megawatt-level battery energy storage stations (BESS), thus to increase the ability of the large scale BESS for autonomous distribution of real time power. Based on the strategy of multi-agent particle swarm optimization, the real time power of the power converter system (PCS) has been calculated. Meanwhile, the layered structure consisting of main-agent, sub area agent, and PCS agent for the BESS are developed. The measured data of the wind power station is used to carry out a simulation analysis for large scale wind farm and BESS hybrid generation systems. It is verified that the control strategy can adaptively allocate the real time total demand of BESS and keep the state of charge for each unit of BESS at a proper level.

ACS Style

Xiangjun Li; Dong Zhang. Coordinated Control and Energy Management Strategies for Hundred Megawatt-level Battery Energy Storage Stations Based on Multi-agent Theory. 2018 International Conference on Advanced Mechatronic Systems (ICAMechS) 2018, 1 -5.

AMA Style

Xiangjun Li, Dong Zhang. Coordinated Control and Energy Management Strategies for Hundred Megawatt-level Battery Energy Storage Stations Based on Multi-agent Theory. 2018 International Conference on Advanced Mechatronic Systems (ICAMechS). 2018; ():1-5.

Chicago/Turabian Style

Xiangjun Li; Dong Zhang. 2018. "Coordinated Control and Energy Management Strategies for Hundred Megawatt-level Battery Energy Storage Stations Based on Multi-agent Theory." 2018 International Conference on Advanced Mechatronic Systems (ICAMechS) , no. : 1-5.

Journal article
Published: 01 April 2018 in Journal of Energy Engineering
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As the wind turbine structure flexibility is increased with its larger power capacity, the control system plays a more important role in the effective wind energy generation. This paper presents a robust model reference adaptive control (RMRAC) scheme for turbine speed regulation in the high wind speed region. The existing model reference control (MRC) is designed with respect to the linearized turbine dynamics at the selected operating point, and the adaptive law is introduced that is capable of adjusting the MRC parameters continuously to handle the varying system dynamics. In addition to model reference adaptive control (MRAC), disturbance accommodating control (DAC) is introduced to explicitly cancel out wind disturbances. The authors employ a robust modification mechanism, dead zone with dynamic normalization, to further improve the stability and robustness of the RMRAC. The proposed RMRAC scheme is verified using the high-fidelity turbine simulator FAST, which models an actual utility-scale wind turbine, CART3, located at the National Wind Technology Center (NWTC) in the United States. The proposed scheme is fully evaluated and compared to the baseline linear controls under various wind conditions generated by TurbSim. Under RMRAC, simulation results indicate more accurate generator speed and rotor power regulation performance, as well as enhanced robustness of the closed-loop system.

ACS Style

Xiao Wang; Wenzhong Gao; Tianqi Gao; Qiao Li; Jianhui Wang; Xiangjun Li. Robust Model Reference Adaptive Control Design for Wind Turbine Speed Regulation Simulated by Using FAST. Journal of Energy Engineering 2018, 144, 04018007 .

AMA Style

Xiao Wang, Wenzhong Gao, Tianqi Gao, Qiao Li, Jianhui Wang, Xiangjun Li. Robust Model Reference Adaptive Control Design for Wind Turbine Speed Regulation Simulated by Using FAST. Journal of Energy Engineering. 2018; 144 (2):04018007.

Chicago/Turabian Style

Xiao Wang; Wenzhong Gao; Tianqi Gao; Qiao Li; Jianhui Wang; Xiangjun Li. 2018. "Robust Model Reference Adaptive Control Design for Wind Turbine Speed Regulation Simulated by Using FAST." Journal of Energy Engineering 144, no. 2: 04018007.

Research article
Published: 30 January 2018 in Mathematical Problems in Engineering
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Under the application scenario of smoothing photovoltaic (PV) power fluctuation, a novel typical daily power curve mining method is developed for a battery energy storage system (BESS) that utilizes the power probability distribution and Bloch spherical quantum genetic algorithm. The charging/discharging of BESS is analyzed by applying fuzzy-c means clustering techniques. In the mining approach, at any sample time, those distribution intervals containing concentrated power points are individually located by using probability distribution information and Bloch spherical quantum genetic algorithm. Character power for the specified interval can also be determined using Bloch spherical quantum genetic algorithm. Next, a roulette principal is employed, to determine one value from the character power data as a typical value of the mined power curve at the sample time. By connecting the typical power at each sample time, the typical daily power curve for BESS is achieved. Based on typical power curve, decision-maker can master the important operating parameters of BESS and analyze optimal capacity allocation. By error evaluation indexes between the mined typical daily power curve and power curve under different weather patterns, the simulation results verify that the mined power curve can address the operating power of the BESS under different weather patterns.

ACS Style

Xiyun Yang; Jie Ren; Xiangjun Li; Hang Zhang. Typical Daily Power Curve Mining for Energy Storage Systems under Smoothing Power Fluctuation Scenarios. Mathematical Problems in Engineering 2018, 2018, 1 -12.

AMA Style

Xiyun Yang, Jie Ren, Xiangjun Li, Hang Zhang. Typical Daily Power Curve Mining for Energy Storage Systems under Smoothing Power Fluctuation Scenarios. Mathematical Problems in Engineering. 2018; 2018 ():1-12.

Chicago/Turabian Style

Xiyun Yang; Jie Ren; Xiangjun Li; Hang Zhang. 2018. "Typical Daily Power Curve Mining for Energy Storage Systems under Smoothing Power Fluctuation Scenarios." Mathematical Problems in Engineering 2018, no. : 1-12.

Journal article
Published: 01 December 2017 in Energy
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ACS Style

Jizhong Chen; Chaoyong Hou; Guoliang Wu; Kunyang Wang; Youning Li; Xuecui Jia; Xiangjun Li; Dong Hui. Duty cycle of an energy storage system in a renewable energy applications: Construction and analysis. Energy 2017, 141, 2177 -2185.

AMA Style

Jizhong Chen, Chaoyong Hou, Guoliang Wu, Kunyang Wang, Youning Li, Xuecui Jia, Xiangjun Li, Dong Hui. Duty cycle of an energy storage system in a renewable energy applications: Construction and analysis. Energy. 2017; 141 ():2177-2185.

Chicago/Turabian Style

Jizhong Chen; Chaoyong Hou; Guoliang Wu; Kunyang Wang; Youning Li; Xuecui Jia; Xiangjun Li; Dong Hui. 2017. "Duty cycle of an energy storage system in a renewable energy applications: Construction and analysis." Energy 141, no. : 2177-2185.

Journal article
Published: 01 July 2017 in Applied Energy
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ACS Style

Xiangdong Kong; Yuejiu Zheng; Minggao Ouyang; Xiangjun Li; Languang Lu; Jianqiu Li; Zhendong Zhang. Signal synchronization for massive data storage in modular battery management system with controller area network. Applied Energy 2017, 197, 52 -62.

AMA Style

Xiangdong Kong, Yuejiu Zheng, Minggao Ouyang, Xiangjun Li, Languang Lu, Jianqiu Li, Zhendong Zhang. Signal synchronization for massive data storage in modular battery management system with controller area network. Applied Energy. 2017; 197 ():52-62.

Chicago/Turabian Style

Xiangdong Kong; Yuejiu Zheng; Minggao Ouyang; Xiangjun Li; Languang Lu; Jianqiu Li; Zhendong Zhang. 2017. "Signal synchronization for massive data storage in modular battery management system with controller area network." Applied Energy 197, no. : 52-62.

Proceedings article
Published: 13 February 2017 in 2016 IEEE Symposium Series on Computational Intelligence (SSCI)
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Battery Energy Storage Station (BESS) is the most effective way to facilitate transmission of large scale hybrid power generation that includes unpredictable renewable energy sources. In this paper we consider a wind-solar-thermal power system with high voltage direct current (HVDC) transmission and propose a novel power imbalance adjustment scheduling strategy based on game theory method. We propose a cooperative approach to maximize the total benefits by developing an optimal power adjustment distribution scheduling method. First use frequency deviation to determine the required total power adjustment and then according to cooperative game model the distributed power adjustment orders are decided. To incentivize the self-interested subsystem to take the system optimal action, we design a punishment protocol which each agent would be punished due to decreased sale price and subsidy. We exam the impact of proposed cooperative strategy through a simulation model and demonstrate that our analysis provides useful insight for designing incentive-compatible game schemes for the hybrid power system with HVDC transmission.

ACS Style

Yihui Zuo; Xiangjun Li. Game theory applied in system of renewable power generation with HVDC out-sending facilitated by hundred megawatts Battery Energy Storage Station. 2016 IEEE Symposium Series on Computational Intelligence (SSCI) 2017, 1 -5.

AMA Style

Yihui Zuo, Xiangjun Li. Game theory applied in system of renewable power generation with HVDC out-sending facilitated by hundred megawatts Battery Energy Storage Station. 2016 IEEE Symposium Series on Computational Intelligence (SSCI). 2017; ():1-5.

Chicago/Turabian Style

Yihui Zuo; Xiangjun Li. 2017. "Game theory applied in system of renewable power generation with HVDC out-sending facilitated by hundred megawatts Battery Energy Storage Station." 2016 IEEE Symposium Series on Computational Intelligence (SSCI) , no. : 1-5.

Journal article
Published: 01 December 2016 in Applied Energy
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ACS Style

Yuejiu Zheng; Minggao Ouyang; Xiangjun Li; Languang Lu; Jianqiu Li; Long Zhou; Zhendong Zhang. Recording frequency optimization for massive battery data storage in battery management systems. Applied Energy 2016, 183, 380 -389.

AMA Style

Yuejiu Zheng, Minggao Ouyang, Xiangjun Li, Languang Lu, Jianqiu Li, Long Zhou, Zhendong Zhang. Recording frequency optimization for massive battery data storage in battery management systems. Applied Energy. 2016; 183 ():380-389.

Chicago/Turabian Style

Yuejiu Zheng; Minggao Ouyang; Xiangjun Li; Languang Lu; Jianqiu Li; Long Zhou; Zhendong Zhang. 2016. "Recording frequency optimization for massive battery data storage in battery management systems." Applied Energy 183, no. : 380-389.

Article
Published: 31 October 2016 in Artificial Intelligence Review
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In order to take full advantage of the complementary nature of multi-type energy storage and maximally increase the capability of tracking the scheduled wind power output, a charging–discharging control strategy for a battery energy storage system (BESS) comprising many control coefficients is established, and a power distribution method employing fuzzy control principles to optimize the multi-type BESS is proposed, so as to reduce the error of day-ahead short-term wind power prediction. A simulation analysis, taking a typical wind farm output as an actual data sample, showed that the proposed fuzzy logic control method for the multi-type BESS is uniquely flexible and adaptable in achieving the control effect of improving the capability of tracking the scheduled wind power output.

ACS Style

Xiangjun Li; Heming Yan. Fuzzy logic-based coordinated control method for multi-type battery energy storage systems. Artificial Intelligence Review 2016, 49, 227 -243.

AMA Style

Xiangjun Li, Heming Yan. Fuzzy logic-based coordinated control method for multi-type battery energy storage systems. Artificial Intelligence Review. 2016; 49 (2):227-243.

Chicago/Turabian Style

Xiangjun Li; Heming Yan. 2016. "Fuzzy logic-based coordinated control method for multi-type battery energy storage systems." Artificial Intelligence Review 49, no. 2: 227-243.

Journal article
Published: 24 October 2016 in Journal of Modern Power Systems and Clean Energy
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Battery energy storage system (BESS) is one of the effective technologies to deal with power fluctuation and intermittence resulting from grid integration of large renewable generations. In this paper, the system configuration of a China’s national renewable generation demonstration project combining a large-scale BESS with wind farm and photovoltaic (PV) power station, all coupled to a power transmission system, is introduced, and the key technologies including optimal control and management as well as operational status of this BESS are presented. Additionally, the technical benefits of such a large-scale BESS in dealing with power fluctuation and intermittence issues resulting from grid connection of large-scale renewable generation, and for improvement of operation characteristics of transmission grid, are discussed with relevant case studies.

ACS Style

Xiangjun Li; Liangzhong Yao; Dong Hui. Optimal control and management of a large-scale battery energy storage system to mitigate fluctuation and intermittence of renewable generations. Journal of Modern Power Systems and Clean Energy 2016, 4, 593 -603.

AMA Style

Xiangjun Li, Liangzhong Yao, Dong Hui. Optimal control and management of a large-scale battery energy storage system to mitigate fluctuation and intermittence of renewable generations. Journal of Modern Power Systems and Clean Energy. 2016; 4 (4):593-603.

Chicago/Turabian Style

Xiangjun Li; Liangzhong Yao; Dong Hui. 2016. "Optimal control and management of a large-scale battery energy storage system to mitigate fluctuation and intermittence of renewable generations." Journal of Modern Power Systems and Clean Energy 4, no. 4: 593-603.

Proceedings article
Published: 29 September 2016 in 2016 12th World Congress on Intelligent Control and Automation (WCICA)
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Based on the rate control method of the wind power fluctuation, this paper proposes an adaptive dynamic programming (ADP) based method to optimize the power of battery energy storage systems (BESS) adaptively. On the one hand, this method can be used to adjust the unstable wind and BESS hybrid power output so as to satisfy the requirements of wind power. On the other hand, this method can be used to control the battery state of charge (SOC) maintained within a suitable range, to achieve a reasonable charge and discharge function of the battery. Take a typical wind farm's output as example, under the limitation of wind power volatility and battery state of charge, this paper shows the experiment that through the real-time online optimization of the smoothing process. The simulation results show the effectiveness and feasibility of the proposed coordinated control strategy based on ADP.

ACS Style

Xiangjun Li; Jingqiong Zhang; Yuting He; Dongbin Zhao. Coordinated control strategy of wind/battery energy storage system hybrid power output based on adaptive dynamic programming. 2016 12th World Congress on Intelligent Control and Automation (WCICA) 2016, 2052 -2057.

AMA Style

Xiangjun Li, Jingqiong Zhang, Yuting He, Dongbin Zhao. Coordinated control strategy of wind/battery energy storage system hybrid power output based on adaptive dynamic programming. 2016 12th World Congress on Intelligent Control and Automation (WCICA). 2016; ():2052-2057.

Chicago/Turabian Style

Xiangjun Li; Jingqiong Zhang; Yuting He; Dongbin Zhao. 2016. "Coordinated control strategy of wind/battery energy storage system hybrid power output based on adaptive dynamic programming." 2016 12th World Congress on Intelligent Control and Automation (WCICA) , no. : 2052-2057.