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Minimum Bending Distance based Evaluation Method for Subareal Independent Power Supply Capability of Smart Distribution Network

When a smart distribution network (SDN) splits, local subareal supply areas can still operate autonomously in the form of a microgrid, which is one of the important features that distinguishes traditional distribution network and the SDN with high permeability distributed generations (DGs). Therefore, it is urgent to carry out evaluation and analysis on the subareal independent power supply capacity (SIPSC) of a SDN. This study proposes a minimum bending distance (MBD)-based evaluation method to achieve a quantitative assessment of SIPSC of multiple subareas in a SDN. It converts the evaluation of SIPSC into the calculation of the MBD between two samples. Accordingly, it can scientifically and reasonably evaluate the SIPSC by using the spatial distance metrics and sequential pattern recognition. Firstly, the evaluation index system is constructed by analyzing the influencing factors of SIPSC, including the capacities and control modes of the DGs and energy storage systems (ESSs). The corresponding weights are assigned to the indicators by improved analytic hierarchy process (IAHP). The MBD-based algorithm is then used to measure the similarity between the standard sample and the unevaluated sample. Finally, the scoring function (SF) is established to quantitative evaluation results. The proposed method quantifies the SIPSC under the condition of certain safety criteria while considering characteristics of DG and distributed ESS units. The reliability and applicability of the method are verified by representative simulation cases.