Browse > Article
http://dx.doi.org/10.5855/ENERGY.2019.28.3.042

A Study on the Integration Costs in Korean Electric System in Accordance with Increasing Solar and Wind Power Generation  

Kim, Doo Chun (Seoul National University of Science and Technology)
Kim, Kwang Jin (Korea Power Exchange)
Park, Jung Gu (Seoul National University of Science and Technology)
Publication Information
Journal of Energy Engineering / v.28, no.3, 2019 , pp. 42-54 More about this Journal
Abstract
The solar and wind power is spreading as a means to $CO_2$ reduction, but it has the characteristics of the volatility depending on the weather changes. This article aims to estimate the additional integration costs in Korea electric system in response to such volatility of increasing solar and wind power generation, using Korea electric power trading analyzer(KEPTA). The analysis utilizes the statistics of "8th Basic Plan for Long-term Electricity Supply and Demand" and "Renewable Energy Plan 3020". As the results, integration costs will be estimated 13.94Won/kWh~32.55Won/kWh, consisting of 8.94Won/kWh as back-up costs, 1.03Won/kWh~4.45Won/kWh as balancing costs, and 3.97Won/kWh~19.16Won/kWh as grid-costs. These results suggest that when the integration costs are secured, Korea electric system will be expected in the stable situation. This article leaves the further studies with taking the technological development of solar and wind power generation, the introduction of energy storage system, and wholesale price of electricity into consideration.
Keywords
Solar and Wind Power Generation; Korean Electric System; Integration Costs;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Holttinen, Hannele, et al., 2011, Impacts of large amounts of wind power on design and operation of power systems, results of IEA collaboration, Wind Energy, Vol. 14, No. 2, pp. 179-192.   DOI
2 Jeon, W. Y., and Mo, J. Y., 2017, The Economic Cost of Wind Uncertainty : The case of Jeju Island New & Renewable, Energy Vol. 13, No. 2, pp. 21-29
3 Kim, E. H., Park, Y. G., & Roh, J. H., 2019, Competitiveness of open-cycle gas turbine and its potential in the future Korean electricity market with high renewable energy mix, Energy Policy, 129(March), pp. 1056-1069   DOI
4 Lee, H. S, et al., 2017, Study of social cost by expanding renewable energy, MOTIE, pp. 34-42
5 Matthew, W, et al., 2015, Projected Costs of Generating Electricity, IEA, pp 154-196.
6 Ahn, I. H, et al., 2014. An Empirical Analysis of the System Marginal Price Volatility in the Korean Electricity Wholesale Market Korea Energy Economic Review, Vol. 13(2) pp. 103-129.
7 Bae, C. Y., 2018, A Study on the ICT-based Benefit Improvement of the Chung-ju Multipurpose Dam for Climate Change, Korean Soc Environ Eng, Vol. 40(8), pp. 303-313.   DOI
8 Milligan, Michael, et al., 2010, Operating reserves and wind power integration: An international comparison, NREL, pp 8-14
9 Nayar, C. V., et al., 1993, Novel wind/diesel/battery hybrid energy system, Solar energy, Vol. 51.1 pp. 65-78.   DOI
10 Notton, G, et al., 2018, Intermittent and stochastic character of renewable energy sources: Consequences, cost of intermittence and benefit of forecasting, Renewable and Sustainable Energy Reviews 87, pp. 96-1051   DOI
11 Pietzcker, R. C., et al. 2017, System integration of wind and solar power in integrated assessment models: A cross-model evaluation of new approaches., Energy Economics, Vol. 64 pp. 583-599.   DOI
12 Simshauser P., 2009, The hidden Costs of wind generation in a thermal power system: what cost?, Australian Economic Review, Vol. 44, No. 3, pp. 269-292   DOI
13 Sinn, H. W., 2017, Buffering volatility: A study on the limits of Germany's energy revolution, European Economic Review, 99, pp. 130-150   DOI
14 Mount, Timothy, et al., 2010, The Hidden System Costs of Wind Generation in a Deregulated Electricity Market Energy Journal, Vol. 33. pp. 1-10
15 Ueckerdt, F., et al., 2013, System LCOE: What are the Costs of variable renewables?, Energy, Vol. 63, pp. 61-75   DOI
16 Ueckerdt, F., et al., 2015. Representing power sector variability and the integration of variable renewables in long-term energy-economy models using residual load duration curves, Energy, Vol. 90, pp. 1799-1814.   DOI
17 Warren, K., & Jay, A., 2012. The cost of wind power variability. Energy Policy, Vol. 51, pp. 233-243.   DOI
18 Belanger Camille., et al., 2002, Adding wind energy to hydropower, Energy Policy, Vol. 30(14) pp. 1279-1284.   DOI
19 Bakun, A., and C. S. Nelson, 1991, The seasonal cycle of wind-stress curl in subtropical eastern boundary current regions. Phys. Oceanogr, 21, pp. 1815-834   DOI
20 Brown, T. W., et al., 2018, Response to 'Bur-den of proof: A comprehensive review of the feasibility of 100% renewable-electricity systems., Renewable and Sustainable Energy Reviews, 92, pp. 834-847   DOI
21 Bruninx, K., et al., 2016, Determining the impact of renewable energy on balancing costs, back up Costs, Grid Costs and subsidies, KU Leuven, pp. 1-74
22 Chandler, H. 2011, Harnessing Variable Renewables - A Guide to the Balancing Challenge, IEA, pp. 81-90, 189-202
23 Csereklyei, Z., Qu, S., & Ancev, T., 2019, The effect of wind and solar power generation on wholesale electricity prices in Australia. Energy Policy, Vol. 131, pp. 358-369.   DOI
24 Heard B., et al., 2017, Burden of proof: a comprehensive review of the feasibility of 100% renewable-electricity systems. Renewable Sustainable Energy Reviews, Vol. 76, pp. 1122-33.   DOI
25 Hirth, L. 2013. The market value of variable renewables. The effect of solar wind power variability on their relative price, Energy Economics, Vol. 38, pp. 218-236.   DOI
26 Hirth, L., Ueckerdt, F., & Edenhofer, O., 2015, Integration Costs revisited - An economic framework for wind and solar variability. Renewable Energy, Vol. 74, pp. 925-939   DOI