Application of intentional islanding algorithm for distributed energy resources in disaster management
Autor: | A. Jaya Laxmi, M. Ankush Kumar |
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Rok vydání: | 2016 |
Předmět: |
Engineering
Emergency management business.industry 020209 energy Electrical engineering 02 engineering and technology 010501 environmental sciences 01 natural sciences Renewable energy Power (physics) Distributed generation 0202 electrical engineering electronic engineering information engineering Islanding Algorithm design Electric power business Low voltage Algorithm 0105 earth and related environmental sciences |
Zdroj: | 2016 IEEE International Conference on Power System Technology (POWERCON). |
Popis: | Over a decade, the role of electrical power plays a major role in modern day life. Even a momentary power outage can create chaos, revenue loss, and loss of life. A temporary stoppage of power can be more disastrous when it comes to life-support systems in places like hospitals and nursing homes, or in co-ordination facilities such as in airports, train stations, and traffic control. Power outages occur due to many causes like natural disturbances, internal power surges, manmade disturbances, and line faults and many more. Among all, the power outages due to natural causes will remain from weeks to months. Distributed Energy Resources (DERs) will be a best solution for this situation to obtain alternate power in post disaster conditions [1]. DERs considered can be Renewable Energy Sources (RES), Diesel Generators and storage devices (batteries or fuel cells) etc., depending on the availability. On the other hand, as most of the DERs provide power in the form of Direct Current (DC), Low Voltage DC (LVDC) power for distribution system is getting popularity. In this paper, IEEE recommended distribution system for interconnecting DERs is designed. The standard of the system is IEEE Std 1547.6-2011. An algorithm is proposed for intentional islanding of loads in LVDC distribution system. This island can be a single or multiple sub-islands. |
Databáze: | OpenAIRE |
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