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Multi-Source Sequential Coordinated Power-Supply Recovery Method for Resilient Distribution Networks Considering Dynamic Networked Microgrids and Network Reconfiguration
WANG Zhiran, YANG Qiming, HUANG Yuxiong, LI Gengfeng, TANG Yida, LI Minghao, BIE Zhaohong
Electric Power Construction ›› 2025, Vol. 46 ›› Issue (9) : 13-26.
PDF(2333 KB)
PDF(2333 KB)
Multi-Source Sequential Coordinated Power-Supply Recovery Method for Resilient Distribution Networks Considering Dynamic Networked Microgrids and Network Reconfiguration
[Objective] After multiple line failures, a distribution network can maintain load supply by forming multiple microgrids. The initial formation and subsequent dynamic interconnection of microgrids require consideration of frequency-voltage control and sequential coordinated output of various types of resources. Hence, this paper proposes a multi-source sequential coordinated power-supply recovery method for post-disaster distribution networks, incorporating droop-control-based dynamic networked microgrid technology and network reconfiguration methods. [Methods] First, a pre-disaster electric vehicle dispatch model is established, considering the impact of impending extreme events on user travel intentions. Subsequently, a sequential power-supply recovery model is established that comprehensively considers the output of distributed resources, reverse charging of electric vehicles, repair crew dispatch, and flexible load management with the integration of frequency-voltage control constraints. Finally, multiple sets of examples are designed to validate the proposed method. [Results] The dynamic networked microgrid technology incorporating droop control can reduce the load-shedding ratio during faults to 30% of that without considering dynamic interconnections. [Conclusions] This effectively lowers the amount of load shedding while ensuring the safety of load restoration, providing an important reference for power-supply recovery of distribution networks under extreme events.
power supply recovery / dynamic networked microgrids / network reconfiguration / electric vehicle / droop control
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The large-scale power outages caused by extreme disaster events in the distribution power grid will bring risks and challenges to the safe operation of distribution networks. The micro-grid(MGs) connected to distribution networks has the characteristics of decentralization, flexibility, etc., and has the advantage of supplying electric power continuously after the failure, which can enhance the operational resilience of the distribution networks. First, a load power supply recovery model which aims at maximizing resilience is established with integration of MGs. This model achieves the optimal recovery of key load and other types of load power supply in distribution networks. Then for the nonlinear characteristics of the proposed mathematical model, the piecewise linearization method is used to linearize the power flow constraints. Hence, the load recovery model for the distribution network is transformed into a mixed integer linear programming problem. Taking the IEEE-33 node system as the tested system, the simulation result verifies the effectiveness and feasibility of the proposed approach in this article.
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