Electricity distribution grids resilience enhancement by network reconfiguration

Abstract

Electric power systems try to maximize resilience by various enhancement strategies as preventive and corrective actions against extreme weather events. This paper presents an operational network reconfiguration strategy during a high wind event to strengthen the resiliency of distribution networks. In the proposed resilience enhancement strategy, a bi-level optimization problem is formulated with two conflicting objectives (i) maximizing grid resilience and (ii) realize the primary objective by a minimum number of out-of-service lines (OSLs) switching operations. Furthermore, the algorithm considers the priority of loads, which is an important characteristic of modern distribution grids.The optimization problem is solved by the bi-level genetic algorithm (BiGA). The IEEE 33-bus network is utilized to demonstrate the application of the developed algorithm. The simulation results show a significant improvement in the resiliency of the tested network and reveal that switching operations can be used effectively to increase the resiliency of distribution networks against natural disasters. Furthermore, sensitivity analysis is performed to show the effectiveness of the proposed approach for finding the global optimal point. The proposed network reconfiguration strategy helps to prepare for severe weather conditions.

Resilient energy management incorporating energy storage system and network reconfiguration: A framework of cyber‐physical system

“…In the NR, the operators use tie lines as an efficient measure to improve power system performance. The line switching should minimise the load curtailment while maintaining the radial network structure [27]. In this paper, a virtual network similar to the main system in connections and structure terms is assumed for NR.…”

“…It should be noted that tie lines are used as support lines to provide critical loads in critical situations; they have high resis-tance and are not vulnerable to natural disasters [25,27]. This means under any fault type, the resilience of DS is improved because, in the first stage, tie lines are connected instead of the vulnerable lines.…”

Resiliency Improvement of Distribution Network Considering the Charge/Discharge Management of Electric Vehicles in Parking Lots through a Bilevel Optimization Approach

“…e amounts of restored active and reactive loads in each bus are determined by applying load shedding in (2) to (7). According to ( 6) and (7), it is assumed that the power factor is known and constant for all buses. e active and reactive power generations of dispatchable DGs are limited in ( 8) and ( 9).…”

“…A comprehensive literature review including the methods for improving the power system resiliency during severe events has been conducted in [6]. A bilevel model has been proposed in [7] during a high wind event solved by the bilevel genetic algorithm to improve the distribution network resiliency using an operational network reconfiguration strategy. A three-stage self-healing algorithm has been proposed in [8] to enhance distribution network resiliency by maximizing the restored EVPLs via network reconfiguration without intentional islanding with multiple line faults.…”

Strategies for Improving the Resiliency of Distribution Networks in Electric Power Systems during Typhoon and Water-Logging Disasters

“…To address these challenges, most existing studies focus on microgrid reconstruction to enhance the resiliency of the distribution network and its ability to cope with the impact of extreme weather events [5][6][7][8][9]. For instance, study [8] proposed a strategy of running network reconstruction during strong wind events to maximize the network's resiliency while minimizing line-switching operations.…”