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DOI:10.35833/MPCE.2019.000418
Scenario-based Unit Commitment Optimization for Power System with Large-scale Wind Power Participating in Primary Frequency Regulation
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Author: Lili Hao1,Jing Ji1,Dongliang Xie2,Haohao Wang2,Wei Li2,Philip Asaah1

Author Affiliation: 1.School of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211816, China;2.State Grid Electric Power Research Institute, Nanjing 211106, China

Foundation:
This work was supported by the Six Talent Peaks Project in Jiangsu Province (No. XNY-020) and the State Key Laboratory of Smart Grid Protection and Control.
Abstract: Continuous increase of wind power penetration brings high randomness to power system, and also leads to serious shortage of primary frequency regulation (PFR) reserve for power system whose reserve capacity is typically provided by conventional units. Considering large-scale wind power participating in PFR, this paper proposes a unit commitment optimization model with respect to coordination of steady state and transient state. In addition to traditional operation costs, losses of wind farm de-loaded operation, environmental benefits and transient frequency safety costs in high-risk stochastic scenarios are also considered in the model. Besides, the model makes full use of interruptible loads on demand side as one of the PFR reserve sources. A selection method for high-risk scenarios is also proposed to improve the calculation efficiency. Finally, this paper proposes an inner-outer iterative optimization method for the model solution. The method is validated by the New England 10-machine system, and the results show that the optimization model can guarantee both the safety of transient frequency and the economy of system operation.

Keywords:
Unit commitment optimization ; primary frequency regulation (PFR) ; wind power ; transient frequency safety ; high-risk stochastic scenario ; inner-outer iterative optimization
Received:June 21, 2019               Online Time:2020/12/03
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