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Robust Optimization of Integrated Energy System Considering Multiple Thermal Inertia and Wind Power Uncertainty

机译:考虑多个热惯性和风能不确定性的综合能源系统鲁棒优化

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Due to a large winter heat load demand and the long heating time in the ‘Three North’ area, the combined heat and power system can effectively improve the energy utilization efficiency. At the same time, the wind energy resources of this area are abundant, but the wind abandonment phenomenon is serious because of the uncertainty of wind output. The multiple thermal inertias of the heating system can improve wind power consumption under the condition of uncertain wind power output. In order to improve the absorbing ability of the system under the condition of uncertain wind power output, a comprehensive energy system robust optimization model considering the multiple thermal inertias of the thermal system and the uncertainty of wind power is proposed. Firstly, the thermal inertia model of heating pipe network and heat load side of the thermal system is established. Then a robust optimization strategy of integrated energy system considering multiple thermal inertia and wind power output uncertainty is proposed to minimize the operation cost and promote wind power consumption. Finally, the effectiveness of the proposed model and method is verified by a calculation example, and the effect of heating network and thermal load inertia on improving wind power consumption under the condition of uncertain wind power output is analyzed.
机译:由于冬季热负荷需求和“三北”区域的长加热时间,综合热电系统可以有效提高能量利用效率。与此同时,这个区域的风能资源丰富,但由于风输出的不确定性,风遗弃现象是严重的。加热系统的多个热惯性可以在不确定的风力输出条件下提高风力消耗。为了提高风力输出的不确定条件下系统的吸收能力,提出了一种考虑热系统多热惯性的综合能源系统鲁棒优化模型及风力电力的不确定性。首先,建立了热系统的热管网和热负荷侧的热惯性模型。然后,提出了一种考虑多个热惯性和风力输出不确定性的集成能量系统的稳健优化策略,以最大限度地减少操作成本并促进风力消耗。最后,通过计算示例验证了所提出的模型和方法的有效性,分析了加热网络和热负荷惯性对不确定风力输出条件下改善风力消耗的影响。

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