Operational Resilience Metrics for Complex Inter-Dependent Electrical Networks (original) (raw)
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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.
Modeling Resilience in Electrical Distribution Networks
Management of Critical Infrastructure [Working Title]
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 faults, accounting for interdependency issues and reconfiguration possibilities. The viability of implementing RecSIM on a real and large urban network is showcased in the paper with reference to the study case of the electrical distribution network (EDN) of Rome city.
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...
An Operational Resilience Metric for Modern Power Distribution Systems
2020 IEEE 20th International Conference on Software Quality, Reliability and Security Companion (QRS-C), 2020
The electrical power system is the backbone of our nations critical infrastructure. It has been designed to withstand single component failures based on a set of reliability metrics which have proven acceptable during normal operating conditions. However, in recent years there has been an increasing frequency of extreme weather events. Many have resulted in widespread long-term power outages, proving reliability metrics do not provide adequate energy security. As a result, researchers have focused their efforts resilience metrics to ensure efficient operation of power systems during extreme events. A resilient system has the ability to resist, adapt, and recover from disruptions. Therefore, resilience has demonstrated itself as a promising concept for currently faced challenges in power distribution systems. In this work, we propose an operational resilience metric for modern power distribution systems. The metric is based on the aggregation of system assets adaptive capacity in real and reactive power. This metric gives information to the magnitude and duration of a disturbance the system can withstand. We demonstrate resilience metric in a case study under normal operation and during a power contingency on a microgrid. In the future, this information can be used by operators to make more informed decisions based on system resilience in an effort to prevent power outages.
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, ...
Resilience of Electricity Distribution Networks
2018
This work contributes to the need for developing a systematic approach to evaluate and improve the resilience of electricity distribution networks (DNs) to cyber-physical failure events. We introduce a failure model that captures the joint impact of physical failures that result in the transmission network as voltage disturbances and cyberattacks to DN components that cause supply-demand disturbances at multiple nodes. The model is used to formulate a bilevel mixedinteger problem that captures the sequential interaction between an attacker (leader) and the DN operator (follower). The attacker (resp. operator) aims to maximize (resp. minimize) the post-contingency loss resulting from the cyber-physical failure events. We solve this problem by applying the Benders Decomposition algorithm to an equivalent min-cardinality disruption problem. Our solution approach relies on a reformulation of the “coupling constraints” which model the effects of the attacker’s discrete actions on the set...
Renewable Energy Focus
Electrical Distribution Systems (EDS) are extensively penetrated with Distributed Energy Resources (DERs) to cater the energy demands with the general perception that it enhances the system's resilience. However, integration of DERs may adversely affect the grid operation and affect the system resilience due to various factors like their intermittent availability, dynamics of weather conditions, non-linearity, complexity, number of malicious threats, and improved reliability requirements of consumers. This paper proposes a methodology to evaluate the planning and operational resilience of power distribution systems under extreme events and determines the withstand capability of the electrical network. The proposed framework is developed by effectively employing the complex network theory. Correlated networks for undesirable configurations are developed from the time-series data of active power monitored at nodes of the electrical network. For these correlated networks, compute the network parameters such as clustering coefficient, assortative coefficient, average degree,
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...
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.
A Framework for Resiliency Assessment of Power Communication Networks
Scientia Iranica, 2014
Modern societies are strongly dependent on the continuous and e cient operation of electric power systems as a critical infrastructure. Besides, information and communication systems play a crucial role in the resiliency enhancement of the power system. As power communication systems are vulnerable against physical and cyber attack, these systems themselves can be an internal source of threat for power grids. Therefore, there is a need to identify and study the threats and weaknesses of power communication systems using a comprehensive framework. This framework helps power communication network planners evaluate all challenges and their numerous e ects on the system, as a very important step towards designing such systems. In the present paper, we propose such a framework by introducing the concept of the`resiliency matrix'. In this regard, the resiliency of two alternative network plans, both of which are the solutions of a multi objective optimal design problem, is evaluated and compared using the proposed framework. The results reveal that the de ned framework is capable of enhancing network resiliency and, thus, can be used as a complementary step towards designing optimal and robust power communication networks.