Optimization model for long-distance integrated transmission of wind farms and pumped-storage hydropower plants

Chengguo Su, Chuntian Cheng, Peilin Wang, Jianjian Shen and Xinyu Wu

Applied Energy, 2019, vol. 242, issue C, 285-293

Abstract: Long-distance and large-capacity wind power transmission from western and northern China to load centers through ultra-high voltage (UHV) transmission lines is an important and effective measure for large-scale wind power accommodation in China. This paper proposes a novel practical integrated transmission mode for a wind farm (WF) and a pumped-storage hydropower plant (PSHP). In order to cope with additional imbalance costs caused by deviations from the submitted day-ahead schedule and increase the total operational profit, an optimization model for the integrated transmission of a WF and a PSHP has been formulated. The forecast errors for wind power generation are modeled by a scenario analysis technique. Hydraulic constraints and the head effect on the performance of each pumped-storage hydropower unit (PSHU) in both generating and pumping modes have been considered. Through incorporating the nonlinearities, including constraints on the operation status of units and turbine performance curves, the model is converted into a mixed-integer linear programming (MILP) formulation using piecewise linear approximation techniques. Case studies demonstrate that the integrated transmission of the WF and PHSP can efficiently alleviate the negative effect of wind power fluctuations and significantly increase profit. Sensitivity analyses have been carried out to evaluate the effect of the penalty factor for energy imbalance and the electricity price mechanism in the receiving-end power grid on the overall performance of the WF-PSHP union.

Keywords: Integrated transmission; Wind farm; Pumped-storage hydropower plant; Wind power forecast errors; Mixed-integer linear programming (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (30)

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DOI: 10.1016/j.apenergy.2019.03.080

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