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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TM73

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国家自然科学基金(91746118);湖南省自然科学基金(2019JJ40302)


Power generation rights trade and clean replacement optimization model of captive power plant participating in the wind power consumption
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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,考虑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。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;最后,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:

    Due to the fact of insufficient peaking capacity in power grid, the wind curtailment becomes prominent in recent years. However, the regulation potential from a large number of coal-fired self-supply power plants is not fully valued and utilized. Under the background of current market policy, a short time-scale trading mode of power generation rights is designed with the consideration of captive power plants participating in transactions and promoting wind power consumption. The unit price of the transaction uses the hour as the time scale, and the settlement uses the day as the time scale. In addtion, in the self-supplied power plant, the electric heating device is employed to absorb wind power and participate in the joint heating. Thus, the thermoelectric coupling constraints of the unit is decoupled, and the power output of the unit is reduced. Finally, The lowest cost is selected as the objective, and a clean alternative cogeneration dispatch model is constructed for wind power plants. 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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引用本文

李雪芹,吴文娴,张诚敏,等.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[J].电力科学与技术学报,2022,37(4):57-64.
Li Xueqin, Wu Wenxian, Zhang Chengmin, et al. Power generation rights trade and clean replacement optimization model of captive power plant participating in the wind power consumption[J]. Journal of Electric Power Science and Technology,2022,37(4):57-64.

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  • 在线发布日期: 2022-09-23
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