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Performance and stability assessment of future grid scenarios for the Australian NEM
handle: 10722/218955
Shifting towards higher penetration of diverse renewable energy sources (RESs) in power systems is motivated mainly by reducing carbon emissions. In the long term of several decades, which we refer to in terms of the future grid (FG), balancing between supply and demand will become more challenging. Also, displacing conventional generators with RESs, especially inverter-based and intermittent RESs, could have significant effects on performance and stability of FGs. So far, FG feasibility studies have mostly considered simple balancing, but largely neglected network related issues such as line overload and stability. The main contribution of this paper is to present a simulation platform for performance and stability assessment of FG scenarios. As a case study, preliminary results on the balancing and stability of the Australian National Electricity Market in 2020 are illustrated with the increased penetration of wind and solar generation in the grid. Simulation results illustrate the importance of power system stability assessment for FG feasibility studies. Keywords—Balancing, electricity market, future grids, power system stability, renewable energy sources
- University of Hong Kong China (People's Republic of)
- University of Hong Kong (香港大學) China (People's Republic of)
- University of Sydney Australia
- University of Hong Kong (香港大學) China (People's Republic of)
- University of Hong Kong China (People's Republic of)
Electricity market, Future grids, Power system stability, Balancing, Renewable energy sources
Electricity market, Future grids, Power system stability, Balancing, Renewable energy sources
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).14 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
