An Optimization Scheduling Model for Wind Power and Thermal Power with Energy Storage System considering Carbon Emission Trading

Huan-huan Li, Li-wei Ju, Qing-kun Tan, He Xin and Zhong-fu Tan

Mathematical Problems in Engineering, 2015, vol. 2015, 1-8

Abstract:

Wind power has the characteristics of randomness and intermittence, which influences power system safety and stable operation. To alleviate the effect of wind power grid connection and improve power system’s wind power consumptive capability, this paper took emission trading and energy storage system into consideration and built an optimization model for thermal-wind power system and energy storage systems collaborative scheduling. A simulation based on 10 thermal units and wind farms with 2800 MW installed capacity verified the correctness of the models put forward by this paper. According to the simulation results, the introduction of carbon emission trading can improve wind power consumptive capability and cut down the average coal consumption per unit of power. The introduction of energy storage system can smooth wind power output curve and suppress power fluctuations. The optimization effects achieve the best when both of carbon emission trading and energy storage system work at the same time.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:723127

DOI: 10.1155/2015/723127

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