Roadmap 1
More intelligence in distributed control
Rationale for Support
The penetration of RES in the energy mix of Europe is growing fast and its intermittent nature calls for smart solutions utilising supportive enabling technologies that can safeguard the quality, reliability and resilience of the interconnected grid that is emerging. This is a growing need due to the transformation that is taking place on the distribution grid, going more active and moving away from the past unidirectional flow of energy from generating sta- tions to load centres far away.
The rollout of intelligence on the distribution network gen- erates the required data for building distributed control in support of the wider system. This is a much more respon- sive to the needs of the interconnected grid and avoids de- lays in taking corrective action, making the system more reliable and resilient.
Status
Currently the intelligence provided on the distribution sys- tem is limited to the following services:
- Forecasting tools for providing an estimate of the anticipated energy the following day but not ade- quate for long term planning or operational de- pendence for the day reserves of the system.
- Smart inverters providing voltage support and qual- ity of supply at point of common coupling of the RES systems meeting the connection and opera- tional requirements of the operators.
Targets, Type of Activity and TRL
This roadmap aims to add intelligence to the PV systems to be responsive to system needs through the following targets:
Planned activities for developing the required in- telligence in complete PV systems with peripheral equipment are the following:
- Action 1: Technical and software development for improving PV system forecasting capabilities in combination with storage moving TRL from 6 to 8 by 2025.
- Action 2: Technical development of inverter in- telligence for providing frequency control mov- ing TRL from 6 to 8 by 2025
- Action 3: Technical development of inverter ca- pabilities for providing the grid forming capabili- ties moving TRL from 5 to 8 by 2027.
KPIs
Possible KPIs that can be utilised for capturing progress in the above identified R&I fields are:
KPI | Target Value |
---|---|
Forecasting tools for PV systems to be widely available as an open access through cloud or oth- erwise, a service that can be accessible by all | By 2025: day ahead accuracy of 95 % for |
Forecasting tools for PV systems to be widely available as an open access through cloud or otherwise, a service with storage of 8 % of energy generated within the planned day | By 2025: day ahead accuracy of 99 % for |
Smart inverters to be supportive to system fre- quency control | By 2027: at least 5 % of the generated en- ergy and 50 % of ground-based PV plant inverters to be equipped with grid forming functionality. |
Grid forming capabilities of smart inverters to be operational | By 2030: at least 90 % to facilitate build- ing energy management systems for im- proved security of supply to all connected users. |