The performance platform for smarter energy systems. Our goal is to develop and operationalize a secure platform where TSO’s and DSO’s operate, maintain and plan together the energy systems of 2030 and beyond. The project approaches technical, economic and environmental challenges, and comprises an innovative toolbox of open source solutions.

Planning Module

This  tool  will  produce  flexible,  adaptive  network investment strategies that take advantage of demand side flexibility for the provision of network support (i.e., procured by the DSO in ancillary services markets) as a means to maximise network capacity, also considering  environmental  (e.g.,  increased  losses)  and  economic  impacts  (e.g., network  support  for customers to partake in the markets).

This tool will develop optimized strategies for the transmission network to be adaptively upgraded in consideration of the new sources of uncertainty and flexibility that may emerge in different areas of the network, e.g., distributed RES, storage and MES at the demand side.

This tool will assess the benefits from the installation of TSO/DSO shared technologies (e.g. storage devices) to be managed in a coordinated way to simultaneously provide flexibility to both distribution and transmission networks, thus contributing to postpone investments in as sets replacement/reinforcement.

Operation Module

This tool will characterize and model the life of important network asset components, such as power transformers, exploring techniques that include the characterization of the reliability using fault history and the characterization of the mean time to repair based  on  the  history  of  maintenance  actions,  while  also  taking  into  account  patterns  for  component behaviour and condition collected from sensors and utilization rates.

This tool will incorporate an innovative approach to translate the results obtained from the previous tool into a set of harmonised, easily measurable and comparable life indicators for different types of assets, which will allow  determining  the  remaining  useful  life  and  the  underlying  sensitivities  against  different  operation conditions.

This tool will define common approaches to  evaluate  the assets  under  different  perspectives  (operation,  maintenance,  cost,  impact)  resulting  in asset  priority  lists.  Smart strategies  for  asset  management  based  on  the  previous  asset  evaluation  and common life indicators will also be developed. Finally, the outputs of this tool will be embedded in the grid planning and operation tools available in the toolbox to allow optimized decisions taking into account not only CAPEX but also OPEX costs.

Asset Management Module

This tool will support the DSO on the procurement of ancillary services (for voltage control and congestion management) to mitigate renewables uncertainty and ensure that the network capacity is never exceeded during the real-time operation stage. The outputs of the TSO/DSO coordination mechanisms that will run in  parallel  with  the  market  simulator will  define  constraints  for  this  tool to  avoid  that  TSOs and  DSOs procure conflicting ancillary services in the markets.

This  tool optimizes the activation of flexibility, provided by both DSO assets (e.g. stationary storage and OLTC) and procured by the DSO in the ancillary services market, using the day ahead operation planning tool. The goal is to maintain the distribution network operating in a safe mode when forecasting errors occur, while minimizing OPEX and reducing environmental impacts

Even   in   the   future   energy   systems,   where communication  technologies  are  expected  to  be  much  more  developed and  communication-enabled devices  prominent, communication  failures  may  still  occur,  preventing  an  accurate  definition  of  the network  operating  state  due  to  missing  data. The  coverage  of  distribution  networks  is  a particular challenge  due  to their scale. This  tool  will  allow  estimating  the  operating  state  of  the  network  with minimal available information (by estimating the net load in each node of the grid) and thus enable us age all the tools developed for networks operation even when there is lack of data.

The performance platform for
smarter energy systems.