含电池储能系统的电热联合系统风电接纳能力评估

朱建锋; 张新松; 姜柯柯; 陈沛; 李大祥

doi:10.19912/j.0254-0096.tynxb.2021-0487

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太阳能学报 ›› 2022, Vol. 43 ›› Issue (11) : 451-459. DOI: 10.19912/j.0254-0096.tynxb.2021-0487

含电池储能系统的电热联合系统风电接纳能力评估

朱建锋, 张新松, 姜柯柯, 陈沛, 李大祥

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ASSESSMENT OF WIND POWER ACCOMMODATION CAPABILITY IN ELECTRIC HEATING COMBINED SYSTEMS WITH BATTERY ENERGY STORAGE SYSTEMS

Zhu Jianfeng, Zhang Xinsong, Jiang Keke, Chen Pei, Li Daxiang

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摘要

为促进风电消纳,减少“弃风”,将电池储能系统（BESS）接入电热联合系统。为考虑风功率的不确定性,基于风功率预测误差的概率特性建立风功率场景概率模型。然后,建立包含BESS的电热联合系统风电接纳能力评估模型。模型具有系统运行成本最低和“弃风”电量最小2个不同维度优化目标,且目标优化之间可能存在冲突。为求解该模型,基于改进主要目标法将其转换为多个单目标优化问题,并采用GAMS中DICOPT求解器给出风电接纳能力评估模型的帕累托解集。基于帕累托解集,从接纳电量和接纳成本两方面对BESS接入后的电热联合系统风电接纳能力进行深入分析。最后进行仿真分析,验证了该文所提模型及求解算法的有效性。

Abstract

To promote wind power accommodation and decrease wind power curtailments, battery energy storage systems （BESS） are incorporated into the electric heating combined systems. A wind power scenario probabilistic model is established based on probability characteristics of the wind power prediction errors to describe random characteristics of the wind power. Next, a wind power accommodation capability evaluation model is formulated for the electric heating combined systems containing BESS. The evaluation model has two optimization objectives with different dimensions： one is to minimize the operation costs, the other is to minimize the curtailed wind energy. There may be conflicts between the objectives. To solve the evaluation model, it is transformed into multiple single-objective optimization problems by means of the improved main objective method. These single-objective optimization problems are solved by using DICOPT solver in GAMS, so that the Pareto solution set of the evaluation model can be obtained. Based on the Pareto solution set, wind power accommodation capability of the electric heating combined systems is analyzed in depth from two aspects of accommodating wind power and costs. Finally, a simulation example is given to verify the effectiveness of the proposed model and algorithm.

导出引用

朱建锋, 张新松, 姜柯柯, 陈沛, 李大祥. 含电池储能系统的电热联合系统风电接纳能力评估[J]. 太阳能学报. 2022, 43(11): 451-459 https://doi.org/10.19912/j.0254-0096.tynxb.2021-0487

Zhu Jianfeng, Zhang Xinsong, Jiang Keke, Chen Pei, Li Daxiang. ASSESSMENT OF WIND POWER ACCOMMODATION CAPABILITY IN ELECTRIC HEATING COMBINED SYSTEMS WITH BATTERY ENERGY STORAGE SYSTEMS[J]. Acta Energiae Solaris Sinica. 2022, 43(11): 451-459 https://doi.org/10.19912/j.0254-0096.tynxb.2021-0487

中图分类号： TM73

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