Within the OSMOSE project WP5 demonstration targets multiple grid services for the Italian grid based on coordinated RES, Demand Response and dynamic thermal rating (DTR).
The zonal Energy Management System (Z-EMS) is now deployed in Terna’s operational environment. The Dynamic Thermal Rating (DTR) installation is completed, as well as the related software installation on master nodes (by ENSIEL) and the data integration in Terna system (Terna, Enel Green Power, IBM). The upgrade of industrial loads, aggregators, RES plant and grid devices is close to completion.
Partners IBM, Enel Green Power (ENG), and RSE released in May 2021 the confidential deliverable D5.4: Implementation of EMS Solution. A brief synthesis of this implementation is provided below.
Deliverable 5.4 explains all relevant activities and technical information related to the development and implementation of the software solutions needed to carry out the first use case of WP5 demonstrator.
The aim of the new Zonal Energy Management System (Z-EMS) is to improve congestion management on the High Voltage grid and maximize Renewable energy sources (RES) production by coordinated use of Dynamic Thermal Rating (DTR) short term forecast, and Demand Side Response (DSR).
Z-EMS demonstrator is a dedicated system EMS that run in parallel with the classical TSO EMS procedures. The document provides technical details about every single software functionality, their input and output interdependencies, their integration within Terna’s system as well as the whole ICT infrastructure behind the demonstrator and the cybersecurity analysis related to the new infrastructure. The effective management of network congestion is achieved by a coordinated use of the following software:
The Hand of Data software (HoD)
The Hand of Data software (HoD), developed by ENG, is mainly responsible for data retrieving and transformation, Z-EMS activation and managing of its output. The HoD connects the Z-EMS to the data sources involved in demo: TERNA systems and other software components PREVEL and Wrapper DTR. Data are collected by the HoD and turned to a standard format compliant to the Z-EMS requirements. The data orchestration process is arranged through an effectively scheduling process handling the timing of the overall demo-execution. This process is implemented taking into account in particular the data protection and data integrity. Moreover, this component was designed as single point of contact for data exchanging between the software components (e.g. PREVEL) deployed in the TERNA Intranet Network and the two Master Node DTR servers where ENSIEL DTR algorithms and ENG wrapper are installed.
The Prevel software
The Prevel software, developed by RSE, is the forecast chain that provides some meteorological variables and the active and reactive loads for each node in the network with a time horizon of three hours ahead, calculated every quarter of an hour. The former are used by the DTR software, the latter by Z-EMS. In both cases, the raw meteorological data are provided by two regional numerical models (WRF and RAMS), driven by the initial and boundary conditions of two global models (IFS/ECMWF and GFS/NOAA). The forecast chain consists of two steps: first a short-term forecast (up to two days ahead) is performed by applying a Random Forest algorithm trained with a 2-month dataset, updated weekly; then a very short-term forecast is computed by means of an ARIMAX, whose exogenous input is the short-term forecast. As the predicted electrical quantity is the difference between generation and load at each node of the grid, the training set is composed of some calendar variables, some characteristic quantities for PV/wind generation (global irradiation, zenith angle, panel temperature, wind speed), and some typical ones for load forecasting (subjective temperature, relative humidity).
The Z-EMS software
The Z-EMS software, developed by IBM, manages congestions in the transmission grid (from 132 kV to 400 kV) of South Italy, with a 3 hours ahead time horizon. In order to solve congestions, Z-EMS can use the loadability curves from Dynamic Thermal Rating (DTR) and Demand Side Response (DSR) resources available in the demo. Z-EMS operations are divided in four cascading modules, running every quarter of hour. First module checks if power balance (between total load and generation) is verified within demo area. Second module detects congestions with 3 hours ahead time horizon. Last two modules use DTR and DSR for the congestion resolution. Third module uploads DTR outputs, the loadability curves, while the fourth module includes even DSR resources
The DTR algorithms
The two DTR algorithms, developed by Ensiel, are the sensor-based one and the weather-based one. Both of them are installed in two substations servers, called Master Nodes DTR, and communicate with weather sensors (Micca sensors and sensor nodes), mounted on the line pylons nearby. The business logic for allowing the proper execution of DTR sensor-based and weather-based software algorithms and managing both input and output files(e.g. loadability curve) has been developed by ENG: the software component called Wrapper DTR is installed in the substations servers as well.
After completion of the upgrade of the different industrial sites and RES plants participating, the Italian demonstrator will be ready to begin with the test phase.