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

Guk-Hyun Moon, Rakkyung Ko and Sung-Kwan Joo
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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

Energies, 2020, vol. 13, issue 7, 1-12

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.

Keywords: smart grid; integrated generation and transmission planning; interval-stochastic programming; wind power; electric vehicle (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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