The overall objectives of the project GiSTDS were to achieve –
a) the novel and innovative schemes for providing real-time services for the control of distributed energy resources and technical oriented mechanism for handling interactions between distribution systems and private entities. Furthermore, accurate forecasting for predicting renewable energy productions, net-load consumptions was investigated as vital requirement to obtain the prier objectives; and
b) to improve the skills and career opening opportunities of the experience researcher (ER).
Both the objectives successfully have been achieved. The project developed new and innovative grid-oriented algorithms for the forecasting uncertain parameters in a rolling manner, real-time control of distributed resources within a defined territory (i.e. distribution grid or communities such as microgrids and prosumers), pricing electricity for each transaction between entities in the local market and finally tracing the cleared power from the producers to the final consumers. For all abovementioned objective, technical constraints and operating limits of grid components and energy resources are modelled by regarding optimal power flow and power tracing equations. Considering technical constraints ensures that the grid is operating in feasible and secure conditions and challenges such as voltage volatility in the grid’s nodes and congestion in the lines are controlled. Furthermore, implementing rolling horizon forecasts with high accuracy in the real-time control of the grid and installed energy resources, improves the efficiency of installed DERs such as battery storage systems, photovoltaic systems. For instance, in a distribution system with the high penetration level of PVs and storage systems, efficient control results in benefits in terms of self-consumption, peak-load shaving in during the nights and decreasing transformers and lines’ over-loading during the mid-days. It should be mentioned that in GiSTDS, the accurate forecasts and effective controlling of resources are obtaining by utilizing accurate and synchronized grid monitoring data provided by real installation of GridEye devices, the host’s core production. Moreover, diverse career development activities and two-way transfer of knowledge have opened many opportunities as the next professional step for the ER. The accomplishment of these objectives is proven by publication on the topic, providing models for host’s costumers for real-time control resources in LKW (low voltage grid in Lichtenstein) and SCCER (low voltage grid in western Switzerland) projects.
