Periodic Reporting for period 2 - ADMS (SmartGrid Active Distribution Management System to accommodate Renewable Energy Sources and Low Carbon Emissions)
Reporting period: 2017-10-01 to 2018-09-30
A critical challenge for Smart Grid ecosystems is to optimise the Return On Investment (ROI) for Power Utilities. ADMS is addressing this with product solutions to help DSOs to achieve their carbon reduction targets by enabling them to actively manage their networks in a disruptively innovative, but coherently distributed way, right down to low-voltages (LV) in support of lower carbon footprint technologies and new energy generation business models from green RES.
Project research identified that the challenges that DSOs face in managing their grids include (a) Capacity Demand Measurement, (b) Regulatory Compliance, (c) Fault Monitoring / Detection, (d) Renewable Energy Management and (e) Network Power Quality. The ADMS solution is addressing these by providing the DSO’s with the following benefits: (1) Improved network stability, capacity and increasing RES penetration integration with reduced grid inertia (2) Cost effective tools, fast and a complete Active Distribution Management Solution, (3) Innovative cost competitive solutions and (4) A mass deployable cost-effective solution right to the grid edge.
ADMS provides these benefits by using a smart machine-learning Network Management System (NMS), that seamlessly monitors real-time data to the Grid Edge for LV/MV distribution systems, with (a) Smart LV/MV Power Quality Monitoring (PQM) that includes grid-edge processing of dynamic local event detection algorithms, (b) Low-cost micro Phaser Measurement Units (mPMU)s, in a high-accuracy Distributed Sensor Network (DSN). The NMS is a network modelling and predictive behaviour platform, that uses the real-time readings from the mPMUs and PQM units, together with Articial Neural Networks (ANN) technology, to provide real and predictive analysis of grid behaviour, for all points of the network with a minimal number of measurement nodes deployed. Thus providing a fully integrated ADMS solution for Network Stability and Predictability.
ADMS will be a commercial operational product solution on the market within a year, and will be sold collaboratively to DSOs and System Integrators, by Altea BV, GridHound UG and MAC Ltd, to provide an unique service that. “Nobody else can take you from a passive grid to smart grid in one contract”. This is more than any individual Partner could provide, and is to the mutual advantage of all Partners. The ADMS will support Europe’s 2,400 DSOs in the active management and maximisation of RES in their grids, enabling more RES on existing distribution networks by improving network stability while safeguarding regulatory compliance.
The initial ADMS Market Analysis involved speaking with DSOs, investigating potential competitors and future collaborators, and prioritising high-potential future users of the commercial ADMS. This set the baseline for the project, to guide its productisation, operational pilot evaluation and subsequent market deployment across Europe. Based on this, much of the first year of the project was focused on productising and integrating the various ADMS components into a coherent solution to provide the reliable operational service required for the Innovation Demonstration Pilots in the second half of the project.
The year 2 work focused on the operation and evaluation of the ADMS operational pilot sites at 4 varied Operators’ sites across Europe – ESB Networks (Ireland), e-distribuzione (Italy), RWTH Campus Smartgrid (Germany) and Bayernwerk Netz (Germany). The feedback, experience and results of these directed the dissemination and finalised the business planning to begin the post-project commercial deployment and launch in the coming year. A database of potential DSO customers was developed, resulting in over 80 contacts and 10 follow-on commercial pilots.
ADMS seamlessly integrates mass deployable, low-cost LV/MV Power Quality Monitoring (PQM) units with grid-edge processing of DSO-defined dynamic local event-detection algorithms and using patented Flexible Magnetic Planer sensors, low cost micro Phasor Measurement Units (mPMU), and innovative patented data-driven Artificial-Neural-Networks (ANN) based NMS. These have been productised and tested by RWTH and UNIBO to meet the IEC61850 substation automation standard and mPMU enhanced with a patented TFT-WLS algorithm to meet the IEEE C37.118-1 standard.
The project completed pilot field trials that involved the deployment of the NMS and DSN of mPMUs and PQM units on networks, to monitor their dynamic behaviour using the ADMS platform. The results demonstrated, validated and indicated the readiness to commercially deploy an operational ADMS that:
a) Provides synchronized high-accuracy real-time monitoring to improve a grid’s performance and head-off faults, by augmenting the DSO’s existing grid management system.
b) Intelligently and continuously actively interacts with the DSO’s network operators, to manage and better understand the behaviour and operation of their distribution network from MV to its LV grid edge.
c) Is a high performance, fully integrated, scalable and low-cost mass-deployable interactive solution, that is in demand by DSOs globally, as indicated by 10 follow-on commercial pilots.