参与风电消纳的自备电厂发电权交易和清洁替代优化模型
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1.湖南省清洁能源与智能电网协同创新中心长沙理工大学;2.国网湖南省电力有限公司供电服务中心计量中心

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国家自然科学基金项目(面上项目,重点项目,重大项目);湖南省自然科技基金项目


Participating in wind power consumption in captive power plant generation rights trading and clean replacement optimization model
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1.Hunan Province Collaborative Innovation Center of Clean Energy and Smart Grid Changsha University of Science and Technology;2.State Grid Hunan Electric Power Company Limited Power Supply Service Center Metrology Center

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    摘要:

    近年来电网调峰容量不足、弃风问题日益凸显,而大量燃煤自备电厂的调控潜能没有得到利用和重视。以现有市场政策为背景,针对热电联产自备电厂参与交易、促进风电消纳,设计自备电厂参与短时间尺度发电权交易模式,即在中长期电量交易基础上,发电权交易量、交易单价以小时为时间尺度,结算以天为时间尺度;在自备电厂内部,利用电加热装置消纳风电参与联合供热,解耦机组热电耦合约束,降低机组电出力;以自备电厂运行成本最低为目标,构建风电厂清洁替代热电联产自备电厂调度模型。仿真结果表明,该方法有效提升风电消纳水平,降低自备电厂运行成本,减少燃煤消耗,实现电能清洁替代。

    Abstract:

    In recent years, the problem of insufficient power grid peaking capacity and wind curtailment has become increasingly prominent, and the regulatory potential of a large number of coal-fired self-supply power plants has not been utilized and valued. With the current market policy as the background, for cogeneration power plants to participate in transactions and promote wind power consumption, the design of captive power plants to participate in short-time scale power generation rights trading mode The unit price of the transaction is based on the hour as the time scale, and the settlement is based on the day as the time scale; in the self-supplied power plant, the electric heating device is used to absorb wind power to participate in the joint heating, decouple the thermoelectric coupling constraints of the unit, and reduce the power output of the unit; operate by the self-provided power plant The lowest cost is the goal, and a dispatch model for a clean alternative cogeneration plant for wind power plants will be constructed. Simulation results show that this method effectively improves the level of wind power consumption, reduces the operating cost of captive power plants, reduces coal consumption, and realizes clean replacement of electric energy.

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  • 收稿日期:2020-11-20
  • 最后修改日期:2020-12-16
  • 录用日期:2020-12-21
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