Unit Commitment Model Considering Flexible Scheduling of Demand Response for High Wind Integration

Beibei Wang, Xiaocong Liu, Feng Zhu, Xiaoqing Hu, Wenlu Ji, Shengchun Yang, Ke Wang and Shuhai Feng
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Beibei Wang: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Xiaocong Liu: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Feng Zhu: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Xiaoqing Hu: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Wenlu Ji: Nanjing Power Supply Company, No. 1 Aoti Street, Nanjing 210019, China
Shengchun Yang: China Electric Power Research Institute, Nanjing 210096, China
Ke Wang: China Electric Power Research Institute, Nanjing 210096, China
Shuhai Feng: China Electric Power Research Institute, Nanjing 210096, China

Energies, 2015, vol. 8, issue 12, 1-22

Abstract: In this paper, a two-stage stochastic unit commitment (UC) model considering flexible scheduling of demand response (DR) is proposed. In the proposed UC model, the DR resources can be scheduled: (1) in the first stage, as resources on a day-ahead basis to integrate the predicted wind fluctuation with lower uncertainty; (2) in the second stage, as resources on an intra-day basis to compensate for the deviation among multiple wind power scenarios considering the coupling relationship of DR on available time and capacity. Simulation results on the Pennsylvania-New Jersey-Maryland (PJM) 5-bus system and IEEE 118-bus system indicate that the proposed model can maximize the DR value with lower cost. Moreover, different types of DR resources may vary in the contract costs (capacity costs), the responsive costs (energy costs), the time of advance notice, and the minimum on-site hours. The responsive cost is considered as the most important factor affecting DR scheduling. In addition, the first-stage DR is dispatched more frequently when transmission constraints congestion occurs.

Keywords: demand response; stochastic programming; wind power integration; unit commitment; uncertainty (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: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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