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Hosting Capacity Analysis and Managed Charging Solutions for Electric Vehicle Grid Integration
It is important for the DISCOMs to ascertain the location and time of charging in order to manage demand response. Electric Vehicles as additional load potentially run the risk of overloading local transformers especially during peak hours of the day. This paper includes a sample HV/LV N/W case study for E-mobility specific Studies in a Software Tool “NEPLAN” covering the typical Outputs of Load Profiling, Hosting Capacity Analysis (HCA) by Connection Point Power / Aggregated Power, Load Flow Time Simulation; and Sensitivity of Bottleneck Equipment wrt to Max ∆V. Charging of fleets would also require special attention from utilities for Depot and cluster charging since they would have strong geographically concentrated load with a distinctive charging profile depending upon the nature and use of an EV Fleet. All this increased load if unmanaged would have an impact on the distribution network leading to irregular load patterns. Additionally, since majority of EV charging is expected to be done at home, during nights the EV loads may also alter the daily load pattern for the DISCOMs. It also highlights the latest trend of Charging Management Systems focused on providing cheaper charging tariffs and the use of smart or managed charging solutions. Managed Charging could be divided into two major categories: Passive Managed Charging solutions that rely on customer behavior to affect charging patterns; Active Managed Charging that relies upon a bi-directional flow of information through multiple communications technologies. However, there is lack of industry protocols for the managed charging.
Hosting Capacity Analysis and Managed Charging Solutions for Electric Vehicle Grid Integration
It is important for the DISCOMs to ascertain the location and time of charging in order to manage demand response. Electric Vehicles as additional load potentially run the risk of overloading local transformers especially during peak hours of the day. This paper includes a sample HV/LV N/W case study for E-mobility specific Studies in a Software Tool “NEPLAN” covering the typical Outputs of Load Profiling, Hosting Capacity Analysis (HCA) by Connection Point Power / Aggregated Power, Load Flow Time Simulation; and Sensitivity of Bottleneck Equipment wrt to Max ∆V. Charging of fleets would also require special attention from utilities for Depot and cluster charging since they would have strong geographically concentrated load with a distinctive charging profile depending upon the nature and use of an EV Fleet. All this increased load if unmanaged would have an impact on the distribution network leading to irregular load patterns. Additionally, since majority of EV charging is expected to be done at home, during nights the EV loads may also alter the daily load pattern for the DISCOMs. It also highlights the latest trend of Charging Management Systems focused on providing cheaper charging tariffs and the use of smart or managed charging solutions. Managed Charging could be divided into two major categories: Passive Managed Charging solutions that rely on customer behavior to affect charging patterns; Active Managed Charging that relies upon a bi-directional flow of information through multiple communications technologies. However, there is lack of industry protocols for the managed charging.
Hosting Capacity Analysis and Managed Charging Solutions for Electric Vehicle Grid Integration
Lect. Notes Electrical Eng.
Pillai, Reji Kumar (editor) / Singh, B. P. (editor) / Murugesan, N. (editor) / Sharma, Shivani (author)
2022-05-28
7 pages
Article/Chapter (Book)
Electronic Resource
English
E-mobility , Neplan , Hosting capacity analysis , Load flow time simulation , Charging management systems Engineering , Power Electronics, Electrical Machines and Networks , Measurement Science and Instrumentation , Energy Policy, Economics and Management , Cyber-physical systems, IoT , Professional Computing , Circuits and Systems , Energy
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