The purpose of this report is to document the technical progress of the SEI Project, providing an updated summary of the current state estimation execution approach and key technical achievements. This report focuses on the technical areas of implementation achieved, with the identification of some of the key activities planned for the next phase in the project.
Report extract
The SEI Project aims to support distribution network operators in their processes for assessing the impact of proposed PV embedded generation systems in their networks. This is achieved by providing them with a better understanding of the operational conditions of their networks through the implementation of a State Estimation Algorithm (SEA). The SEA uses existing network and measurement data as well as existing static data characterising the structure and nature of the supplied customer base within the networks. These results are passed on to a semi-automated power-flow analysis based simulation tool in which the likely impact of the additional PV system is assessed.
Phase 3 of the SEI Project commenced in June 2018 and concluded at the end November 2018. Phase 3 was primarily focused on establishing a prototype for the semi-automated analysis tool and readying the real-time deployment (RTD) of the SEA for use in export limitation signalling in Phase 4. The project also continued to develop the performance and reliability of the SEA and dashboard front end. Importantly at least one feeder from each of the partner DNSPs has been successfully run with a time series of historical state estimation.