Stochastic Wind Curtailment Scheduling for Mitigation of Short-Term Variations in a Power System with High Wind Power and Electric Vehicle

• Published in: Applied sciences Vol. 8; no. 9; p. 1684
• Main Authors: Lee, Jaehee, Lee, Jinyeong, Wi, Young-Min, Joo, Sung-Kwan
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.09.2018
• Subjects: electric vehicle; Electric vehicles; Electrical engineering; Electricity distribution; Energy; Expected values; Generators; Linear programming; Optimization; power system uncertainty; Random variables; Reserve requirements; Scheduling; Short term; Test systems; Wind farms; Wind power; wind power curtailment; New York; United States > US
• ISSN: 2076-3417; 2076-3417
• DOI: 10.3390/app8091684

Occasionally, wind curtailments may be required to avoid an oversupply when wind power, together with the minimum conventional generation, exceed load. By curtailing wind power, the forecast uncertainty and short-term variations in wind power can be mitigated so that a lower spinning reserve is sufficient to maintain the operational security of a power system. Additionally, the electric vehicle (EV) charging load can relieve the oversupply of wind power generation and avoid uneconomical wind power curtailments. This paper presents a stochastic generation scheduling method to ensure the operation security against wind power variation as well as against forecast uncertainty considering the stochastic EV charging load. In the paper, the short-term variations of wind power that are mitigated by the wind curtailment are investigated, and incorporated into a generation scheduling problem as the mixed-integer program (MIP) forms. Numerical results are also presented in order to demonstrate the effectiveness of the proposed method.