A major goal for the ISO/IEC15118 standard for controlling the charging process for electric vehicles is the simplicity and reliability of use. Severe threats for a simple use are implementations of the standard which are not interoperable to each other. A traditional approach to reduce this threat is the setup of testivals between all implementations to explicit test interoperability. However this approach is complex and expensive as it requires extensive test and the coordination between all implementers. The project eNterop takes a different approach to enable a broad acceptance of the ISO/IEC 15118 and IEC 61851 specification on the market and to facilitate a large number of implementations. It defines conformance tests which can be fully automated. This is a quite new approach for machine to machine interface specifications which not only cover communication but also power interfaces. With that implementers can independently test their protocols including the power flow control and increase the likelihood of interoperable implementations without expensive testivals. This paper presents the approach of conformance tests for combined communication and power interfaces
Security of supply is one of the main drivers of power system planning and operation. The upcoming integration of renewable generation, mainly in the low and medium voltage grid, will lead to the development of new system designs and new components. In addition to lowering the CO2 emissions in the transportation sector, electric vehicles (EV) will take part in system balancing in terms of directly influencing the charging and the discharging process to integrate renewable generation. Sufficient data from both the EV users and the infrastructure are necessary in order to forecast the time dependent potential that can be provided to the market. This paper considers a fleet management tool that generates the basic data for estimating the ancillary services potential of EVs in the German power system. Models, investigation methodology, computation results and results of a sensitivity analysis are shown and discussed in this paper, as well
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.