Assessing electric vehicles charging via packetized management systems
Wahid, Sohail (2019)
Diplomityö
2019
School of Engineering Science, Tuotantotalous
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Julkaisun pysyvä osoite on
http://urn.fi/URN:NBN:fi-fe201901071523
http://urn.fi/URN:NBN:fi-fe201901071523
Tiivistelmä
Popularity of Electric vehicles in the developed countries have increased in the effort to protect the environment by reducing the greenhouse gas emissions produced from transportation. Charging EVs will act as an additional load for the current energy infrastructure and its increased penetration and uncontrolled charging will lead to various problems including power losses and grid congestions in the network.
This research work follows a systematic approach to find solution for the problems related to the EV charging and grid congestion. This thesis is divided into three different parts. The first part explores the new concept of packetized energy by literature-based search, providing useful theoretical data for the checking the feasibility of packetized energy management in EV charging. The second part helps in comparing three different type of charging systems, which are uncontrolled, system-controlled and self-controlled charging. Pairwise comparison questionnaire was used to gather data from 11 academic experts and analyzed using the Analytical hierarchical process (AHP) through SuperDecisions software. In the third part of this work, two innovative solutions are proposed for EV’s charging using Duncker diagram.
Available literature related to “packetized energy” showed that the concept is relatively new but still it has the potential to manage electric network and EV’s charging. AHP analysis concluded that system-controlled charging is the most suitable for environment while uncontrolled charging will lead to grid congestion. The two proposed solutions; battery backup system and mobile-controlled reservation system will control excess load on the grid by helping users to choose optimal time for charging or supporting the grid to fulfil the extra demand from the storage batteries, leading to environment friendly and green EV charging.
This research work follows a systematic approach to find solution for the problems related to the EV charging and grid congestion. This thesis is divided into three different parts. The first part explores the new concept of packetized energy by literature-based search, providing useful theoretical data for the checking the feasibility of packetized energy management in EV charging. The second part helps in comparing three different type of charging systems, which are uncontrolled, system-controlled and self-controlled charging. Pairwise comparison questionnaire was used to gather data from 11 academic experts and analyzed using the Analytical hierarchical process (AHP) through SuperDecisions software. In the third part of this work, two innovative solutions are proposed for EV’s charging using Duncker diagram.
Available literature related to “packetized energy” showed that the concept is relatively new but still it has the potential to manage electric network and EV’s charging. AHP analysis concluded that system-controlled charging is the most suitable for environment while uncontrolled charging will lead to grid congestion. The two proposed solutions; battery backup system and mobile-controlled reservation system will control excess load on the grid by helping users to choose optimal time for charging or supporting the grid to fulfil the extra demand from the storage batteries, leading to environment friendly and green EV charging.