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Integration of Smart Grid Resources into Generation and Transmission Planning Using an Interval-Stochastic Model

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  • Guk-Hyun Moon

    (Management Research Institute, Korea Electric Power Corporation, Seoul 06732, Korea)

  • Rakkyung Ko

    (School of Electrical Engineering, Korea University, Seoul 02841, Korea)

  • Sung-Kwan Joo

    (School of Electrical Engineering, Korea University, Seoul 02841, Korea)

Abstract

In the power industry, the deployment of smart grid resources in power systems has become an issue of major interest. The deployment of smart grid resources represents an additional uncertainty in the integrated generation and transmission planning that raises uncertainties in investment-related decision making. This paper presents a new power system planning method for the integration of electric vehicles (EVs) and wind power generators into power systems. An interval-stochastic programming method is used to account for the heterogeneous uncertainties attributable to natural variability and lack of knowledge. The numerical results compare the multiple integration scenarios and verifies the effectiveness of the proposed method in terms of cost distribution and regret cost.

Suggested Citation

  • Guk-Hyun Moon & Rakkyung Ko & Sung-Kwan Joo, 2020. "Integration of Smart Grid Resources into Generation and Transmission Planning Using an Interval-Stochastic Model," Energies, MDPI, vol. 13(7), pages 1-12, April.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:7:p:1843-:d:344130
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    References listed on IDEAS

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    1. Abdul Sattar & Muhammad Farooq & Muhammad Amjad & Muhammad A. Saeed & Saad Nawaz & M.A. Mujtaba & Saqib Anwar & Ahmed M. El-Sherbeeny & Manzoore Elahi M. Soudagar & Enio P. Bandarra Filho & Qasim Ali , 2020. "Performance Evaluation of a Direct Absorption Collector for Solar Thermal Energy Conversion," Energies, MDPI, vol. 13(18), pages 1-16, September.

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