A novel planning‐attack‐reconfiguration method for enhancing resilience of distribution systems considering the whole process of resiliency

Abstract

Summary To enhance the resilience of distribution systems and fight against extreme disasters, a novel planning‐attack‐reconfiguration optimization method is proposed in this paper. Firstly, according to the processes of prevention, defence, and restoration for a resilient distribution system through disruption, the novel resilience evaluation indicators are presented, which include the node degree of distributed generation (DG) bus, survival rate, and recovery ability. Secondly, a novel planning‐attack‐reconfiguration optimization model is developed to improve the resilience of distribution systems. In DG planning stage, the multi‐objective planning model is formulated, which includes the minimization of the total cost of investment and operation, and the maximization of the node degree of DG buses for critical loads. In the attack stage, a clear worst case of N‐k contingencies on the basis of generalized nodes is presented to reduce the computational complexity. Then, the post‐disaster network reconfiguration model is formulated to maximize the restoration rate of critical loads (RRCL). Finally, the proposed method is illustrated by the case study on PG&E 69‐bus distribution system. The simulation results indicate that all the RRCL can reach about 90% in the four multipoint fault scenarios. Meanwhile, other evaluation indicators are greatly improved. It is shown that the resilience of distribution systems can be dramatically enhanced by the proposed method.

A Stochastic Planning Model for Improving Resilience of Distribution System Considering Master-Slave Distributed Generators and Network Reconfiguration

“…Also, microgrid formation and network reconfiguration are employed to enhance the operational resilience of distribution systems in the second stage. In [12], a planning-attackreconfiguration optimization model was proposed to enhance the resilience of distribution systems and fight against natural disasters. In [6], a tri-level optimal hardening model was presented to improve the resilience of distribution systems in the face of malicious attacks.…”

“…The newly installed DGs are restricted to a total number of two. The candidate positions for DG placement are 11, 21, 30, 50, and 61.Nodes 11,12,21, 49, 50, 61, and 64 are considered as demand-response-capable. Similar to the 33-bus system, the load control blocks are considered to be 100 kW, and the controlling options have five levels.…”

Resilience Quantification of Smart Distribution Networks—A Bird’s Eye View Perspective

“…One can recall all aspects of the model: contingency, fragility, restoration, and functionality; which are achieved in different ways. Works in [127,128,136,137,139] suggest using simulation-based frameworks to implement the quantification procedure, while [123,124,131,135,138] opt for complete analytical formulation. A good compromise is found in [122,125,126,132,133] with a hybrid analytical-simulation modeling, for example [133] where the functional model is experimental, and remaining contingency, fragility, and restoration models are posed as optimization problems.…”

“…This resulted in a total of 34 pre-selected papers, 10 of which were excluded from this survey as they were recognized after deep analysis to not entirely satisfy the two selection criteria. Thus, the final selection included 24 papers, 18 of them targeting distribution power network [122][123][124][125][126][127][128][129][130][131][132][133][134][135][136][137][138][139], and 6 for grid ICT network [140][141][142][143][144][145]. This set of works was evaluated based on proposed categorizations in Sections 3 and 4.…”

A critical reviewon definitions, indices, and uncertainty characterizationin resiliency‐orientedoperation ofpower systems

“…The term “ resilience ” as a new concept in the power system literature comes from “resilio” in Latin, and it has been firstly introduced for ecological systems by Holling in 1973 26,27 . According to Holling's definition in 1973, 26 resilience refers to the capability of a system to retain its operation after a disruption.…”