Projects: Projects for Investigator UKERC Home UKERC Energy Data Centre Projects Choose Investigator All Projects involving NIA_NGET0020
Reference Number	NIA_NGET0020
Title	Modelling of Embedded Generation within Distribution Networks and Assessing the Impact
Status	Completed
Energy Categories	Renewable Energy Sources(Solar Energy) 10%; Renewable Energy Sources(Wind Energy) 30%; Other Power and Storage Technologies(Electricity transmission and distribution) 60%;
Research Types	Applied Research and Development 100%
Science and Technology Fields	ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 100%
UKERC Cross Cutting Characterisation	Not Cross-cutting 100%
Principal Investigator	Project Contact No email address given National Grid Electricity Transmission
Award Type	Network Innovation Allowance
Funding Source	Ofgem
Start Date	01 August 2012
End Date	01 August 2014
Duration	24 months
Total Grant Value	£42,000
Industrial Sectors	Power
Region	London
Programme	Network Innovation Allowance
Investigators	Principal Investigator	Project Contact , National Grid Electricity Transmission (100.000%)
Web Site	http://www.smarternetworks.org/project/NIA_NGET0020
Objectives	A literature review on various assumptions and methodologies adopted for modelling embedded generation in distribution networks for power system planning in the GB system (e.g. P2/6 Standard). Investigation of different methodologies and their effectiveness in modelling the impacts of embedded generators on load profiles at distribution and transmission level. Investigation of contribution factors responsible for large, small and medium mismatches. Development of alternative modelling methodologies, using the identified key contribution factors to minimise the mismatches between the modelled and measured results. Testing and validation of the developed modelling methodologies on a wide range of GSPs A report documenting the key findings. This project is successful if we improve the understanding of the impact of embedded generation on the demand seen at the transmission level.
Abstract	The transition to a low carbon economy will see a substantial rise of renewables in our energy mix. By 2030, around 48 GW of wind is expected to be installed on the GB system, of which, up to 40% is expected to be connected at distribution systems, ranging from LV, HV to EHV. This will fundamentally change the demand patterns seen at the Grid Supply Points (GSP) connecting to the transmission system. Currently there are no reliable tools to accurately determine the impact of DGs on the demand patterns at the transmission level, particularly, considering the effects of DG concentration, location and penetrations across the three voltages. This project will develop methodologies to identify the collective effect of DGs on the national transmission system, so as to reduce load forecasting errors, which will in turn reduce the level of operational reserve. This will ultimately lead to much improved balancing efficiency and carbon efficiency. Furthermore with the increased visibility on embedded generation, which this research is expected to deliver, a more accurate representation of the demand can be used in planning the system. Research The method proposed includes: Literature review on various assumptions and methodologies for modelling embedded generation in distribution networks and Investigation of different methodologies and their effectiveness Investigation of the contribution factors for large, small and medium mismatches Development of alternative modelling methodologies aiming at minimising the mismatches between modelled and actual EG contribution + Interim report Documenting Key Findings Test and validate the developed modelling methodologies on a wide range of GSPs, further enhance the alternative modelling and develop a set of rules for the GB systems + Final ReportNote : Project Documents may be available via the ENA Smarter Networks Portal using the Website link above
Publications	(none)
Final Report	(none)
Added to Database	14/09/18