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

机译：考虑碳排放权交易的储能系统风电和火电优化调度模型

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摘要

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.
机译：风电具有随机性和间歇性的特点，影响着电力系统的安全和稳定运行。为了减轻风电并网的影响，提高电力系统的风电消费能力，本文考虑了排放交易和储能系统，建立了热风电系统与储能系统协同调度的优化模型。基于10个热力装置和2800 MW装机容量的风电场进行的仿真验证了本文提出的模型的正确性。根据模拟结果，引入碳排放交易可以提高风电的消费能力，并降低单位功率的平均煤炭消耗。引入储能系统可以平滑风电输出曲线，抑制风电波动。当碳排放交易和储能系统同时工作时，优化效果达到最佳。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第23期|723127.1-723127.8|共8页
  • 作者

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

  • 作者单位

    North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China;

    North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China;

    North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China;

    North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China;

    North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China;

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