GEiMS · GridEye State Estimation of Medium Voltage Distribution Systems

GridEye State Estimation of Medium Voltage Distribution Systems

In GEiMS we developed a framework of State Estimation (SE) at Medium Voltage (MV) Distribution Systems (DS) of electricity. SE is a method for monitoring a power system operating and asset behaviors, in order to perform remedial actions in case of criticalities or plan for network upgrades. SE is performed by collecting synchronized measurements from various points in a grid and extracting a model (estimate) of the overall system status in as much detail (electrical variables values) as possible. The SE is expected to be executed in a Decentralized manner (DSE). The DSE framework will be integrated into GridEye Network Supervision, a fully operational monitoring and control ICT platform. GridEye Base Module (GBM) and the GridEye Network Supervision have been developed by DEPsys, a critically acclaimed Swiss technology company in the energy market field. DEPsys served as the Host Institution (HI) of this project. SE at DS is important for society for a multitude of reasons. First of all, Renewable Energy Sources (RES) have been widely promoted and, thus, installed at DS. Despite their generally positive impact, most RES are characterized by volatility, which causes wear of infrastructure owned by the network operator to handle such volatility and power quality issues. Secondly, although Distributed Generation (DG) postpones investments in system reinforcement, it may not be a guaranteed outcome, while it is also unclear for how long and/or for which parts of a DS without specifically monitoring the effects of such deployments. Thirdly, employing SE at DS will increase system reliability, since it will improve handling of faults by locating them and responding to them more efficiently. Fourthly, DS reconfiguration will also be greatly favored thanks to SE at this level. The SE will facilitate the DS operator in monitoring the conditions which dictate the need to reconfigure a MV system. Lastly, if SE is active on a given DS, standards that limit the greater penetration of DG (stricter criteria calculated offline and prior to the installation of such units), may be applied in a softer manner. For example, voltage deviations averaged over specific time intervals may be contained through the online control of the DG units that cause them. The main objectives associated with the desired characteristics of the framework are as following: O1. Accurate calculation of MV phasors on distribution transformers (T/Fs) with low voltage (LV) side measurements by GBM devices. O2. Realistic assessment of DSO metering infrastructure and aims of its use. O3. Decentralized SE method for DS. O4. Guidelines for the implementation of the SE method for DS. O5. MV DS characteristics in the SE methodology. O6. Performance of the proposed DSE of a DS on an actual system.

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