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Multi-Timescale Coordinated Operation of An Integrated Energy System Considering Multiple Uncertainties

机译:考虑多种不确定性的集成能源系统的多时间刻度协调运行

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Combined heat and power (CHP) plants as well as wind farms are important units in an integrated energy system (IES), for their high efficiency of generation and low carbon emissions. However, CHP plants and wind farms are facing low profits due to uncertainties of electricity prices and renewable power generation as well as penalty of real-time power imbalance. In this paper, a multi-timescale coordinated operation framework is proposed to dispatch the CHP plant and wind farm in a deregulated day-ahead heat market and a real-time balancing electricity market. In the framework, the portfolio operation strategy that operates the portfolio jointly in the market is applied to increase the real-time operation profits. Multiple uncertainties of heat load, wind power generation, day-ahead electricity price, up- and down-regulation prices are taken into account for the optimal operation. A stochastic optimization method is applied to solve the proposed coordinated operation problem. The simulation results verify that the proposed method can achieve a profitable operation in the markets and a highly robust operation against the multiple uncertainties.
机译:热电联产(CHP)的植物以及风电场处于集成能量系统(IES)的重要单元,其生成高和低二氧化碳排放量的效率。然而,热电联产和风力发电场都面临着因电价和可再生能源发电的不确定性,低利润以及实时功率不平衡的处罚。在本文中,多时间尺度协调运作框架,提出了调度热电联产电厂和风力发电场在放松管制日前热市场和实时平衡电力市场。在该框架中,是共同经营的产品组合在市场中的投资操作策略应用在增加实时操作的利润。热负荷,风力发电,提前一天的电价的多重不确定性,上调和下调价格考虑的最佳操作。随机优化方法应用于解决所提出的协调运行问题。仿真结果表明,该方法可以实现在市场对多重不确定性盈利的操作和高度可靠的操作。

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