Abstract
Recently, because of the many environmental problems worldwide, Korea is moving to increase its renewable energy output due to the Renewable 3020 Policy. Renewable energy output can change depending on environmental factors. It is for this reason that institutions should consider the instability of renewables when linked to the electric system. This paper describes the methodology of renewable energy capacity calculation based on probabilistic transient stability assessment. Probabilistic transient stability assessment consists of four algorithms: first, to create probabilistic scenarios based on the effective capacity history of renewable energy; second, to evaluate probabilistic transient stability based on transient stability index, interpolation-based transient stability index estimation, reduction-based transient stability index calculation, etc.; third, to implement multiple scenarios to calculate renewable energy capacity using probabilistic evaluation index; and finally, to create a probabilistic transient stability assessment simulator based on Python. This paper calculated renewable energy capacity based on large-scale power system to validate consistency of the proposed paper.
Highlights
Because of climate change and worsening environmental problems around the world, countries are urged by the international community to reduce their carbon emissions under the UN Climate Change Conference Paris 2015
Reducing the national carbon footprint means abolishing coal and thermal power plants, which were primarily responsible for carbon emissions, and using renewable energy resources [1]
When the volatility increases with alignment of a power system with renewable energy, this limits application of deterministic method
Summary
Because of climate change and worsening environmental problems around the world, countries are urged by the international community to reduce their carbon emissions under the UN Climate Change Conference Paris 2015. Jeju last year increased by 67.4% compared to the previous year to 77 Such curtailment led to a power limitation of 2.2 million kWh (worth 4 billion), which was directly linked. The curtailment in Jeju last year increased by 67.4% compared to the previous year to 77 Such curtailment led to a power limitation of 2.2 million kWh (worth 4 billion), which was directly linked to losses losses for wind power generators. This means means that that even even if if new and renewable energy to is actively actively carried carried out, out, there there is a lack of foundation for efficient use of it.
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