Integrid - Bridging the Gap

47 Table 4.15 - Results for HLUC01 KPIs KPI Result Description Percentage reduction in customer complaints (%) 100 % of reduction in voltage violations and branch overloads. Focused on the assessment of the quality of supply improvement i.e., fulfilment of voltage limits and reduction of branch overloads. Total active power loss cost reduction (€) 3.40 Comparison between the total cost for the active power losses obtained for MV network operating scenarios without optimization, with the cost of the losses taking optimization into consideration. Total execution time (m) 0.19 (predictive) 0.0078 (real-time) Measures the function total execution time for evaluating the scalability of the tool. Execution time is used for comparing operating scenarios of different dimensions and complexity of variables. Mean absolute estimation error (MW/ Mvar) 0.24MW 0.096Mvar Indicates the mean absolute deviation between estimated and forecast values for different times. Maximum absolute estimation error (MW/Mvar) 0.93MW 0.58Mvar Indicates the maximum absolute deviation between estimated and forecast values for different times. The forecasting service also had minimal errors: • Standard Mean Absolute Error: 0.054% for active power and 0.074% for reactive power (time span of 48 hours) • Standard Root-Mean Square Error: 0.078% for active power and 0.102% for reactive power (time span of 48 hours) These percentages refer to the maximum power consumption observed in historical data. Additionally, using the MPOPF tool for MV Grid Operational Planning also reduced the number of customer complaints (H01KD02ELub). Results from HLUC05 In Slovenia, a Traffic Light System (TLS) evaluates flexibility bids in the DSO electrical network which are offered by a commercial Virtual Power Plant (cVPP) for the manual Frequency Restoration Reserve (mFRR) market of the TSO. With the use of a Multi Period Optimal Power Flow (MPOPF) algorithm, the electrical network model and forecasts for generation and load demand of customer, TLS evaluates flexibility offers. Should network constraints be foreseen, TLS curtails flexibilities to avoid problems. TLS operates in two modes 1) in day-ahead it analyses flexibility bids before they are proposed to the mFRR market and 2) in intraday where TLS evaluates flexibilities to be activated by the TSO. The main question in this Use Case is, does the use of TLS prevent possible problems in distribution grid operation? Due to the dimensioning of the Slovenian network and the current volume of flexibilities, no problems were encountered during the demonstration period. In order to test TLS functionalities, flexibilities were scaled to a volume which resulted in network constraints. Table 4.16 shows results for important KPIs for HLUC05. From September 2019 until mid-October 2019, the demonstration was performed with the original flexibilities in the network. As it can be seen in the KPIs, during this period TLS did not have to curtail any flexibilities. Starting at the end of October 2019, demonstrations were performed with scaled flexibilities which caused problems in the DSO network. The three KPIs on the left describe the day-ahead mode and the three KPIs on the right are for intraday. It can be seen that with the exception of February, no curtailments had to be performed in intraday because all problems had already been solved by the flexibility curtailment performed in day-ahead. In February, tests with unplanned maintenance on cables were performed. In this case, the day-ahead evaluation cannot foresee these problems and the intraday-assessments have to encounter a solution. These demonstrations showed that TLS is able to support the DSO in safe grid operation and is also able to detect and solve network problems caused by flexibilities.