Techniques for Electric Power Systems with High Penetrations of Renewable Non-Thermal Generation
Lead Research Organisation:
University of Strathclyde
Department Name: Electronic and Electrical Engineering
Abstract
The recent EU Directive on renewable energy commits the UK to binding targets for renewable energy. By 2020 the UK must find 15% of its primary energy from renewable sources: these being basic energy forms including naturally available fuels or renewable energy sources, but not derived energy forms like electricity or hydrogen which are assessed in terms of their primary energy input. The maximum contributions that are likely to be met for renewable transport fuel and heat by 2020 are widely agreed to be 10%. This leaves renewable energy electricity generation to make up the balance; but because of the limited efficiency of electricity generation from primary energy sources (fuels) this means that the proportion of renewable electricity in the generation mix must be much higher to meet the primary energy target. It has been calculated by the UK Energy Research Centre (UKERC), that more than 40% of the UK's annual electricity generation would need to come from renewable energy sources like wind, photovoltaics (PV), biomass fuelled generation and the emerging new marine energy sources of wave power and tidal stream. In the longer term the Severn Barrage could make a substantial contribution, but this could not be operational in time for 2020. What is clear is that the penetration of renewable sources like wind will need to increase dramatically over the years to 2020. Because the main renewable sources of wind power, marine energy and PV produce power that varies in time reflecting the time changing availability of the natural resource, they cannot be treated like conventional thermal generation sources (coal, gas, oil and nuclear) which together are controlled to match demand. The 40% or more penetration anticipated is far higher than can be absorbed without significant change to the electricity supply system and its operation, and is correctly perceived by the electricity utilities as certainly challenging and potentially disruptive. If 40% of electricity is to come from such time varying renewable sources, at times of low system load and high renewable energy generation, the instantaneous penetration will be far higher. If the reliability and quality of the supply is not to be jeopardised, a radical change in the way power systems are designed and operated is unavoidable. An aging asset base means the industry is now engaged in planning a major tranche of new generation plant and upgrading the transmission and distribution infrastructure. This provides a major opportunity to design for incorporation of non-thermal distributed generation, making use of new technologies such responsive demand to facilitate this transition. The proposed Platform grant research will be focused on developing new methods for designing and operating power systems that can successfully absorb such high levels of non-thermal, renewable generation, and on the way the market mechanisms that underpin investment might need to change.The research work will be undertaken closely with the electricity supply industry; this is essential if confidence is to be created around these new ways of working in time for implementation to facilitate meeting the 2020 target.
Organisations
Publications
Catterson V
(2011)
Embedded Intelligence for Electrical Network Operation and Control
in IEEE Intelligent Systems
David Hill (Author)
(2010)
Application of statistical wind models for system impacts
David Infield (Author)
(2012)
Collective Control of a Cluster of Stall Regulated Wind Turbines
David Infield (Author)
(2010)
Application of statistical wind models for system impacts
David Infield (Author)
(2011)
Estimating the cost of offshore maintenance and the benefit from condition monitoring
David Infield (Author)
(2010)
Spatio-temporal correlations of available wind power and impact on transmission power flows
David Infield (Author)
(2012)
Accessing offshore wind turbines for maintenance
David Infield (Author)
(2012)
Vector auto-regression applied to UK wind speed data
David Infield (Author)
(2013)
Wind turbine operation anomaly detection using copula statistics
David Infield (Author)
(2013)
Improved spatial modelling of wind fields
Description | Temporal and spatial variations in wind speed are complex, but can be modelled effectively, and are important for assessing the impact of wind power on the power system. Condition monitoring of wind turbines is essential if the cost of operations and maintenance for offshore wind farms is to be reduced. |
Exploitation Route | The analysis and tools developed by project continue to be developed and applied by researchers at Strathclyde and elsewhere. |
Sectors | Aerospace Defence and Marine Energy Environment |
Description | This was a Platform grant and covered a wind range of research relevant to renewable energy generation. The new models of wind fields developed have been widely applied by other researchers, in particular to issues like dynamic rating of transmission lines, that is of considerable commercial interest. Research led directly to a report for the Scottish Government on Energy Storage of Electricity. Work on condition monitoring has grown into a considerable research activity supported by EDF, Scottish Power Renewables, SSE and others. |
First Year Of Impact | 2012 |
Sector | Energy,Environment |
Impact Types | Economic Policy & public services |