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    Special Issue on Active Control and Protection of Future Renewables-dominated Distribution Grid

    Guest Editors: 

    Fei Jiang, Changsha University of Science & Technology, China

    RongwuZhu, Harbin Institute of Technology, Shenzhen, China
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    Editorial for the Special Issue on Active Control and Protection of Future Renewables-dominated Distribution Grid
    Chinese Journal of Electrical Engineering    2022, 8 (2): 1-2.   DOI: 10.23919/CJEE.2022.000009
    Abstract305)      PDF      
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    Transient Characteristics and Quantitative Analysis of Electromotive Force for DFIG-based Wind Turbines during Grid Faults*
    Yumei Ma, Donghai Zhu, Xudong Zou, Yong Kang, Josep M. Guerrero
    Chinese Journal of Electrical Engineering    2022, 8 (2): 3-12.   DOI: 10.23919/CJEE.2022.000010
    Abstract446)      PDF      
    For doubly-fed induction generator (DFIG)-based wind turbines (WTs), various advanced control schemes have been proposed to achieve the low voltage ride through (LVRT) capability, whose parameters design is significantly reliant on the rotor electromotive force (EMF) of DFIG-based WTs. However, the influence of the rotor current on EMF is usually ignored in existing studies, which cannot fully reflect the transient characteristics of EMF. To tackle with this issue, this study presents a comprehensive and quantitative analysis of EMF during grid faults considering various control modes. First, the DFIG model under grid faults is established. Subsequently, the transient characteristics of EMF are analyzed under different control modes (that is, rotor open-circuit and connected to converter). Furthermore, the EMF transient eigenvolumes (that is, accessorial resistance item, transient decay time constant, and frequency offset) are quantitatively analyzed with the typical parameters of MW-level DFIG-based WT. The analysis results contribute to the design of the LVRT control scheme. Finally, the analysis is validated by the hardware-in-the-loop experiments.
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    Black-box Modeling of Converters in Renewable Energy Systems for EMC Assessment: Overview and Discussion of Available Models*
    Lu Wan, Abduselam H. Beshir, Xinglong Wu, Xiaokang Liu, Flavia Grassi, Giordano Spadacini, Sergio A. Pignari
    Chinese Journal of Electrical Engineering    2022, 8 (2): 13-28.   DOI: 10.23919/CJEE.2022.000011
    Abstract343)      PDF      
    The development of renewable energy systems interfaced with the grid by power electronic converters leads to increasing issues of electromagnetic coexistence between power and communication lines, as well as severe power quality issues, such as total harmonic distortion at the consumer side. Therefore, high-frequency modeling of renewable energy systems is of great importance to guide the design and development of distribution networks involving renewable sources. Owing to system complexity, black-box modeling approaches offer more advantages than traditional circuit modeling, as far as electromagnetic compatibility (EMC) analysis and filter design are the targets. In this study, different black-box modeling techniques for power converters are introduced and systematically analyzed. First, the general theory of black-box modeling is explained. Subsequently, three different modeling approaches are compared in terms of accuracy and the required experimental setup. Finally, the possible limitations of black-box modeling of power converters are investigated and discussed.
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    Improved Hybrid Reactive Power Compensation System Based on FC and STATCOM and Its Control Method*
    Xiheng Liang, Fei Jiang, Xing Peng, Liansong Xiong, Yongbin Jiang, Samir Gautam, Zhichang Li
    Chinese Journal of Electrical Engineering    2022, 8 (2): 29-41.   DOI: 10.23919/CJEE.2022.000012
    Abstract297)      PDF      
    The purpose of this study is to solve the main problems in distribution networks, including increased line loss and reduced power supply quality caused by insufficient capacitive reactive power. To reduce the capacity, voltage, and current stress of an active module of a compensation device and improve the cost performance of the device, an improved hybrid reactive power compensation system based on a fixed capacitor (FC) and a static synchronous compensator (STATCOM) is proposed. The topological structure and basic operating principle of the proposed reactive power compensation system are introduced. In addition, from the perspectives of output voltage, current, power, loss of the active part, and system compensation cost, the performances of the proposed reactive compensator and the inductively coupled STATCOM (L-STATCOM) are compared and analyzed. Furthermore, the key parameters of the proposed system are designed, and the joint optimization control strategy of the FC and STATCOM is studied. The correctness and effectiveness of the proposed topology structure and control method are verified by simulations.
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    Two-stage Correction Strategy-based Real-time Dispatch for Economic Operation of Microgrids
    Jingliao Sun, Changhong Hu, Lei Liu, Bei Zhao, Jinyuan Liu, Jianquan Shi
    Chinese Journal of Electrical Engineering    2022, 8 (2): 42-51.   DOI: 10.23919/CJEE.2022.000013
    Abstract253)      PDF      
    Given the different energy rates of multiple types of power generation units, different operation plans affect the economy of microgrids. Limited by load and power generation forecasting technologies, the economic superiority of day-ahead plans is unable to be fully utilized because of the fluctuation of loads and power sources. In this regard, a two-stage correction strategy-based real-time dispatch method for the economic operation of microgrids is proposed. Based on the optimal day-ahead economic operation plan, unbalanced power is validly allocated in two stages in terms of power increment and current power, which maintains the economy of the day-ahead plan. Further, for operating point offset during real-time correction, a rolling dispatch method is introduced to dynamically update the system operation plan. Finally, the results verify the effectiveness of the proposed method.
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    Frequency Trajectory Planning-based Frequency Regulation Strategy for Wind Turbines Equipped with Energy Storage System
    Yang Qian, Hongyan Wang, Mengen Zhou, Haipeng Lv, Yonghui Liu
    Chinese Journal of Electrical Engineering    2022, 8 (2): 52-61.   DOI: 10.23919/CJEE.2022.000014
    Abstract270)      PDF      
    The increase in wind power penetration has weakened the equivalent inertia of the power system, posing a significant challenge to frequency stability. In this paper, a frequency trajectory planning (FTP)-based frequency regulation (FR) strategy is proposed for permanent magnet synchronous generator-based wind turbines equipped with an energy storage system (ESS) on the DC link. The core idea is that the frequency index provided by the grid code is used to plan a safe frequency trajectory when the system frequency fluctuates. The FR power provided by the ESS is controlled by tracking the planned frequency trajectory to compensate for the unbalanced power in the system, provide inertia support, and ensure the frequency stability of the power grid. The proposed strategy can suppress the frequency fluctuation and optimize the FR power of the ESS. It also effectively circumvents the complex parameter design process of virtual inertia control. The simulation model is established in Matlab/Simulink to verify the effectiveness of the control strategy.
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    An Economic Optimization Method for Demand-side Energy-storage Accident Backup Assisted Deep Peaking of Thermal Power Units*
    Wen Wei, Ze Ye, Yali Wang, Shuangfeng Dai, Lei Chen, Xiaolong Liu
    Chinese Journal of Electrical Engineering    2022, 8 (2): 62-74.   DOI: 10.23919/CJEE.2022.000015
    Abstract299)      PDF      
    With the large-scale penetration of new energy such as wind power, its anti-modulation peak characteristics have increased challenges in power systems. Therefore, an economic optimization method for depth peak regulation and the depth of the emergency of the Energy storage (ES) accident on the demand side is proposed. First, a quantitative model of unplanned disconnection risk caused by weather state, load level, and fault type is constructed to obtain the spare and available ES capacity. Therefore, a deep peak regulation (DPR) economic optimization model is established to minimize the fuel injection cost of thermal power units, including ES accident standby, unit damage, and fuel demand. The particle swarm optimization algorithm is used to simulate the modified IEEE 30-node system. Based on the results, the DPR of ES accident standby can reduce the wind abandonment rate by 1.1% and the total peak adjustment cost by 33.5% under class-A weather. In class-C weather, the wind abandonment ratio can be reduced by 4.19%, reducing the cost of the total adjustment peak by 31.4%. The multiple purposes of improving the power grid modulation, wind power, and the standby utilization of ES accidents can be achieved.
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