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Resilience-oriented Planning And Operational Strategies Of Active Distribution Network

Posted on:2023-01-10Degree:DoctorType:Dissertation
Institution:UniversityCandidate:Jasur AbdubannaevFull Text:PDF
GTID:1522306902471174Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
Residential and economic infrastructure in every state depends on the use of power energy.Electricity is considered to be an integral part of our daily lives today.We cannot imagine how life would be without power energy,as it is used in nearly every area of our lives.Electricity is essential to our daily lives and is used by various critical infrastructures,including the health care system,transportation,water supply,gas supply,etc.A number of these factors and more contribute to the current world’s growing reliance on secure and reliable energy sources,as well as its increased consumption of them.For many years,researchers have well explored and applied the power energy system methods that provide a reliable and secure supply of energy to consumers.It is frequent nowadays to have power outages regardless of the hard work of scientists and employees.From small areas to large areas,there are a number of potential causes for power outages.A number of natural hazards,cyber-attacks,and human errors have led to multiple power outages and severe economic losses for the state.In order to prevent power outages,the power system is designed to deal with such events in the early stages and to be operated automatically and manually.It is also important to consider that,due to economic reasons and the low probability of such events taking place,there are certain events in which the power system will not be able to stand.Different enhancing methods have been explored in this research work for improving the resilience of active distribution networks.A combination of aging components,an increase in demand for electricity,and natural disasters increase the probability of outages in the power system.Since the global climate has deteriorated in the past decade,the quantity of natural hazards is increasing,and the impact of the natural hazards is increasing as well.The next natural disasters are expected to be even more devastating.Thus,protecting the power system from uncomfortable harm and resuming power supply quickly following outages is one of the main objectives of scientific researchers.The criterion of resilience is widely used in terms of understanding more clearly and determining the object of the work.While many successful and ongoing studies have been conducted on this topic,it remains relevant to introduce new measures to improve the distribution network’s resilience.There is no escaping the fact that,in order to predict and prevent single and cascade failures,provide a response and recovery plans,and plan for future infrastructure investment,it is vital to have a full understanding of the ways in which interdependencies across key infrastructure have an impact on their behavior.Our electric system urgently needs a diversified array of power distribution technologies for the electric system to become more efficient,even as power energy is becoming an important part of our developed society.A more promising approach would be to reduce the dependence on fossil fuels by utilizing renewable energy sources and integrating a battery storage system into the distribution network.Monitoring and controlling energy generation,use,and flow are made easier through this technology.The goal of this research is to increase the resilience of active distribution networks as well as apply effective methods for quickly re-establishing normal conditions following extreme events.This study examines the potential impact of microgrids,electric vehicles,battery banking,and renewable energy sources to enhance distribution networks.Further,investigating complex applications of different methods and determining effectiveness is the focus of this research.
Keywords/Search Tags:Resilience, Microgrid, Electrical Vehicles, Battery Banking, Renewable energy sources
PDF Full Text Request
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