Development of an Optimized Curtailment Scheme through Real-Time Simulation

Jeong-Hwan Kim, Iseul Nam, Sungwoo Kang and Seungmin Jung
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Jeong-Hwan Kim: Department of Electrical Engineering, Hanbat National University, Daejeon 305-719, Korea
Iseul Nam: Department of Electrical Engineering, Hanbat National University, Daejeon 305-719, Korea
Sungwoo Kang: School of Electrical Engineering, Korea University, Seoul 136-713, Korea
Seungmin Jung: Department of Electrical Engineering, Hanbat National University, Daejeon 305-719, Korea

Energies, 2022, vol. 15, issue 3, 1-16

Abstract: When a lot of surplus power occurs in wind power system, an output limit is implemented to directly or indirectly curtail the output to maintain a balance between the supply and demand of the power system. The curtailment process of a large-scale wind farm causes loss of power and mechanical loads. Resultantly, imbalanced curtailments often occur, resulting in unilateral burdens for the owners of wind farms. Considering the curtailment issue, the study for minimizing system loss of power plants is required in terms of operational efficiency. This paper proposes an algorithm to achieve flexible control during the actual power curtailment process in a wind farm, considering the wake effect. Here, the Monte Carlo method was adopted to calculate the curtailment weight in wind farms by using power loss terms. In addition, an equivalent model of a real wind farm was implemented and simulated through real simulation computer-aided design (RSCAD) software. This paper verified the effectiveness of the proposed method by applying the curtailment communication signal to a real-time digital simulator (RTDS). The results showed a reduction in the computational loading of individual wind turbine curtailment values with the decline of the total effective power loss.

Keywords: wind power control; curtailment; delta control; wind farm management system; wake effect (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: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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