CUI Yong, XU Yaojie, Liu Jianhang, TU Qi, WANG Weihong, GU Jun. Self-Recovery Scheme and Compensation Mechanism of Distribution Network with "Source-Load-Storage" Multi Heterogeneous Distributed Resources[J]. Modern Electric Power. DOI: 10.19725/j.cnki.1007-2322.2022.0398
Citation: CUI Yong, XU Yaojie, Liu Jianhang, TU Qi, WANG Weihong, GU Jun. Self-Recovery Scheme and Compensation Mechanism of Distribution Network with "Source-Load-Storage" Multi Heterogeneous Distributed Resources[J]. Modern Electric Power. DOI: 10.19725/j.cnki.1007-2322.2022.0398

Self-Recovery Scheme and Compensation Mechanism of Distribution Network with "Source-Load-Storage" Multi Heterogeneous Distributed Resources

  • To cope with the blackout risk of the new power system, it is an inevitable requirement to explore the potential and value of distributed resources participating in distribution network recovery from the multiple links of "source, load and storage", and work out a safe and fast recovery plan. For that reason, considering the different flexibility requirements of the black-start restoration process under multiple time scales, a self-restoration scheme of distribution network considering the participation of multiple heterogeneous distributed resources was proposed. Firstly, for the power distribution system with multiple types of distributed resources, an optimization model of the start-up sequence of distributed resources was constructed with the goal of maximizing available power generation and active load recovery. Secondly, a comprehensive path evaluation was constructed based on node importance and path recovery time to optimize the recovery path of the unit to be started, and then the outage load was put into operation step by step to reduce the outage loss. Thirdly, considering the black-start capacity and utilization of distributed resources in the recovery process, a black-start incentive mechanism including capacity compensation fee and utilization compensation fee was proposed to effectively promote the fair and reasonable distribution of service fees. Finally, taking the improved IEEE33 node system as an example, the analysis of multiple power outage scenarios shows that the proposed method can effectively allocate restoration resources and improve the speed and stability of power distribution system restoration.
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