Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Load Shedding and Restoration for Intentional Island with Renewable Distributed Generation
Author:
Affiliation:

1.School of Electrical Engineering and Automations, Wuhan University, Wuhan 430072, China;2.China Southern Power Grid Research Institute, China Southern Power Grid Company, Guangzhou 510663, China

Fund Project:

This work was supported in part by the National Key R&D Program of China (No. 2017YFB0902900), the National Natural Science Foundation of China (No. 51707136), and the Natural Science Foundation of Hubei Province (No. 2018CFA080).

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    Abstract:

    Due to the high penetration of renewable distributed generation (RDG), many issues have become conspicuous during the intentional island operation such as the power mismatch of load shedding during the transition process and the power imbalance during the restoration process. In this paper, a phase measurement unit (PMU) based online load shedding strategy and a conservation voltage reduction (CVR) based multi-period restoration strategy are proposed for the intentional island with RDG. The proposed load shedding strategy, which is driven by the blackout event, consists of the load shedding optimization and correction table. Before the occurrence of the large-scale blackout, the load shedding optimization is solved periodically to obtain the optimal load shedding plan, which meets the dynamic and steady constraints. When the blackout occurs, the correction table updated in real time based on the PMU data is used to modify the load shedding plan to eliminate the power mismatch caused by the fluctuation of RDG. After the system transits to the intentional island seamlessly, multi-period restoration plans are generated to optimize the restoration performance while maintaining power balance until the main grid is repaired. Besides, CVR technology is implemented to restore more loads by regulating load demand. The proposed load shedding optimization and restoration optimization are linearized to mixed-integer quadratic constraint programming (MIQCP) models. The effectiveness of the proposed strategies is verified with the modified IEEE 33-node system on the real-time digital simulation (RTDS) platform.

    图1 光催化装置Fig.1 Photocatalytic device
    图2 不同氧化电压下N掺杂TiO2光催化剂表面的FESEM图Fig.2 FESEM images of N-doped TiO2 photocatalyst surface under different oxidation voltages
    图3 光催化剂的XRD谱图Fig.3 XRD spectrum of the photocatalyst
    图4 TiO2光催化剂的UV-vis谱图Fig.4 UV-vis spectrum of TiO2 photocatalyst
    图5 光催化剂用量对造纸废水色度和CODCr去除率的影响Fig.5 The effect of the amount of catalyst on the chromaticity and CODCr removal rate of papermaking wastewater
    图6 光照时间对造纸废水色度和CODCr去除率的影响Fig.6 The effect of light time on the chromaticity and CODCr removal rate of papermaking wastewater
    图1 Framework of proposed load shedding strategy and restoration strategy.Fig.1
    图2 Process of governor adjustment and change of frequency.Fig.2
    图3 Modified IEEE 33-node system.Fig.3
    图4 System frequencies during transition process with LS1 and LS3.Fig.4
    图5 System frequencies during transition process with LS1 and LS4.Fig.5
    图6 Multipliers of load demand and PV output.Fig.6
    图7 Node voltages with RS1 and RS2 during each period.Fig.7
    图8 Total power demands with RS1 and RS3 and actual range of DG output.Fig.8
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History
  • Received:September 30,2019
  • Online: May 19,2021