Modeling Resilience in Electrical Distribution Networks (original) (raw)
Related papers
Chapter Modeling Resilience in Electrical Distribution Networks
2021
Electrical distribution networks deliver a fundamental service to citizens. However, they are still highly vulnerable to natural hazards as well as to cyberattacks; therefore, additional commitment and investments are needed to foster their resilience. Toward that, this paper presents and proposes the use of a complex simulation model, called reconfiguration simulator (RecSIM), enabling to evaluate the effectiveness of resilience enhancement strategies for electric distribution networks and the required resources to implement them. The focus is, in particular, on one specific attribute of resilience, namely, the readiness, i.e., the promptness and efficiency to recover the service functionality after a crisis event by managing and deploying the available resources rapidly and effectively. RecSIM allows estimating how and to what extent technological, topological, and management issues might improve electrical distribution networks’ functionality after the occurrence of accidental fa...
IET Generation, Transmission & Distribution, 2019
When a natural disaster occurs in a distribution network, a widespread power interruption may occur for a few days or weeks. This study presents a bi-level optimisation-based model for reconfiguration of the distribution network to improve the resilience of electricity distribution network against severe weather events such as storm and hurricane with the aim of minimising the cost of load outage. To achieve this, a model is first presented for evaluating the vulnerability of distribution network poles to estimate the damages imposed by the threat. Then, in the first level, according to the forecasting of possible failed lines and based on the predicted wind speed before the storm, a network reconfiguration strategy is employed to minimise the expected cost of load outage. In the second level, a new reconfiguration is carried out to restore the system loads and minimise the cost of load outage after the storm. The proposed model is then applied to a standard 33-bus radial distribution system using the GAMS software. The simulation results demonstrate the effectiveness of the proposed model in increasing network resilience and highlight the importance of network reconfiguration in the face of extreme natural disasters.
Resilience Assessment in Distribution Grids: A Complete Simulation Model
Energies
For several years, the increase of extreme meteorological events due to climate change, especially in unusual areas, has focused authorities and stakeholders attention on electric power systems’ resilience. In this context, the authors have developed a simulation model for managing the resilience of electricity distribution grids with respect to the main threats to which these infrastructures may be exposed (i.e., ice sleeves, heat waves, water bombs, floods, tree falls). The simulator identifies the more vulnerable network assets by means of probabilistic indexes, thus suggesting the best corrective actions to be implemented for resilience improvement. The fulfillment of grid constraints, i.e., loading limits for branches and voltage limits for buses, under actual operating conditions, is taken into account. Load scenarios extracted from available measurements are evaluated by means of load flow analyses in order to choose, among the best solutions identified, those compatible with...
Operational Resilience Metrics for a Complex Electrical Network
Lecture Notes in Computer Science, 2018
The Electrical Distribution Network is a Critical Infrastructure which plays a primary role in citizen life. Resilience is a relevant property to be achieved as it allows the network to withstand all types of perturbations affecting its functions and allowing to provide its service with continuity. Resilience comes out from a combination of a number of specific properties related to both intrinsic network technologies and to operator's management skills. This work reports on the results obtained by using a model for estimating Resilience applied to a real network (the electrical distribution network of the city of Roma) which accounts for most of the parameters influencing the effective resilience of the network. Results confirm that the model can appropriately handle a real network and provide valuable insights to electrical operators.
Resilience Assessment and Enhancement in Electric Distribution Networks
2019
Extreme weather events are getting more and more frequent and may lead to severe effects on electric distribution systems, in terms of damages to the infrastructure and failures in the energy supply to the customers. Thus, network operators call for tools able both to forecast contingencies on the basis of weather predictions and to suggest countermeasures to boost system resilience. The paper describes the method and a tool for resilience assessment and enhancement for distribution networks in case of extreme natural events and, in particular, wet snow storms. The tool operates in two stages: a risk-based module to detect critical lines (more prone to fail due to wet snow sleeves), and an OPF module which assures minimum anti-icing currents on previously identified critical lines. The simulations performed on a model of a real-world High Voltage (HV)/Medium Voltage (MV) grid in the Italian Alps demonstrate the effectiveness of the proposed approach. Keywords— distribution network, ...
Resiliency Assessment of Electric Power Distribution Systems
2017
This chapter discusses the resiliency aspect of electric power distribution systems considering the role of distributed generation. A recovery (restoration) tool is developed that can emulate the recovery path of the distribution system after a contingency situation, then engineering resiliency assessment framework is applied to (semi)-quantitatively measure the dimensions of resiliency. The proposed procedure is implemented on a test system to demonstrate the key factors affecting the resiliency of a distribution system, including distributed generation.
2019 29th Australasian Universities Power Engineering Conference (AUPEC), 2019
The increasing frequency of natural disasters and man-made attacks have increased power outages worldwide. Thus, a resilient infrastructure must be constructed to reduce power system damages which directly impacts on the social and economic lives of people. In this paper, a new framework called withstand, respond, adapt, and prevent (WRAP) is presented to evaluate and improve the resilience of distribution networks following a review on existing studies. This resilience enhancement may happen through microgrid and multi- microgrid development in planning or operation stages. Each element of the WRAP framework is responsible for the improvement of the power system resilience in terms of its own attributes and resilience evaluation index. Furthermore, the WRAP framework is defined on the basis of a flowchart with respect to conditional statements. The WRAP framework can be a helpful solution in measuring the resiliency of the power system in terms of robustness, rapidity, adaptability...
Operational Resilience Metrics for Complex Inter-Dependent Electrical Networks
Applied Sciences
The electrical distribution network (EDN) is a critical infrastructure that plays a primary role in a person’s life. Its resilience is a primary property to be achieved in order to withstand all types of perturbations affecting their functions, thus guaranteeing service continuity in adverse conditions. Resilience arises from a combination of a number of properties and actions related to both intrinsic system technologies and management skills. This work proposes a model enabling the estimation of the EDN operational resilience. The proposed model accounts for most of the parameters influencing the resilience of the network, such as network topology, technological properties of its active elements, the SCADA systems, automation procedures and management efficiency. Results confirm that the model can appropriately handle a real network with a large dimension and provide valuable insights to electrical operators.