Sammendrag
Due to the absence of well documented experiences from implementations of Local Energy Communities (LECs), it is very difficult to infer implications of increased LEC
integrations for the distribution network as well as for the wider society. To conduct quantifiable assessment of different control architectures, LEC types and market
frameworks in the FINE project, a flexible and comprehensive LEC modelling, and simulation approach is being established.
Modelling LECs and the environment they operate in can involve the co-modelling of different domains such as power system, control, market, and communication. In addition, one can imagine different levels of autonomy in terms of the Energy Management System (EMS) which can be community level (LEC EMS) or down to component level such as Battery EMS. The modelling approaches which focus on marketbased activation of flexibility and EMS decision making are likely to face uncertain aspects such as customer behaviour. In this report, the different LEC modelling approaches in the reviewed literature are presented together with a selected modelling approach outlined for the FINE project.
integrations for the distribution network as well as for the wider society. To conduct quantifiable assessment of different control architectures, LEC types and market
frameworks in the FINE project, a flexible and comprehensive LEC modelling, and simulation approach is being established.
Modelling LECs and the environment they operate in can involve the co-modelling of different domains such as power system, control, market, and communication. In addition, one can imagine different levels of autonomy in terms of the Energy Management System (EMS) which can be community level (LEC EMS) or down to component level such as Battery EMS. The modelling approaches which focus on marketbased activation of flexibility and EMS decision making are likely to face uncertain aspects such as customer behaviour. In this report, the different LEC modelling approaches in the reviewed literature are presented together with a selected modelling approach outlined for the FINE project.