| 引用本文: | 刘敦楠,张悦,刘明光,董治新,王文,加鹤萍.考虑储能备用的电动汽车负荷连续追踪弃风曲线优化模型[J].电力自动化设备,2022,42(10): |
| LIU Dunnan,ZHANG Yue,LIU Mingguang,DONG Zhixin,WANG Wen,JIA Heping.Optimization model of wind curtailment curve continuous tracking by electric vehicle load considering energy storage reserve[J].Electric Power Automation Equipment,2022,42(10): |
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| 摘要: |
| 在大力推动高比例可再生能源并网的背景下，风电的强随机波动特征导致的大量弃风问题给电力系统的经济可靠运行带来了挑战，而电动汽车、储能等作为需求侧的灵活性资源参与曲线追踪交易为弃风问题带来了解决方案。首先，分析了电动汽车消纳风电的可行性；然后，对电动汽车聚合负荷消纳风电的交易模式进行了梳理，聚焦连续曲线追踪交易，在充分考虑电动汽车聚合的物理经济约束下建立了混合整数线性规划模型以求解聚合调用方案。由于电动汽车的移动储能能力与追踪效果有限，引入储能系统进行联合优化，采用逐步搜索法在降低聚合成本的同时，得到储能的最优容量与功率配置以及同时优化物理弃风电量与经济成本的聚合方案。算例分析结果表明：考虑储能备用的聚合方法能够提高风电曲线的追踪精度，减小聚合成本，验证了所建模型在连续曲线追踪中的可行性与适用性，可为曲线追踪交易市场的完善与新型电力系统的建设提供借鉴。 |
| 关键词: 电动汽车 负荷聚合 连续曲线追踪 风电消纳 储能备用 灵活性资源 |
| DOI：10.16081/j.epae.202207005 |
| 分类号:U469.72;TM614 |
| 基金项目:国家自然科学基金资助项目(72171082) |
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| Optimization model of wind curtailment curve continuous tracking by electric vehicle load considering energy storage reserve |
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LIU Dunnan1, ZHANG Yue1, LIU Mingguang1, DONG Zhixin1, WANG Wen2, JIA Heping1
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1.School of Economic and Management, North China Electric Power University, Beijing 102206, China;2.State Grid Electric Vehicle Service Company, Beijing 100053, China
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| Abstract: |
| In the context of vigorously promoting the grid-connection of high proportion of renewable energy, a large number of wind curtailment caused by the strong random fluctuation characteristics of wind power brings challenges to the economic and reliable operation of power system. The participation of demand-side flexible resources such as electric vehicles, energy storage, and so on, in the curve tracking transaction can bring solutions to the wind curtailment problem. Firstly, the feasibility of wind power consuming by electric vehicles is analyzed. Then, the transaction modes of electric vehicle aggregation load consuming wind power are sorted out, and focusing on the continuous curve tracking transaction, the mixed integer linear programming model is established to solve the aggregation and dispatching scheme under the physical and economic constraints of electric vehicle aggregation. Due to the limited mobile energy storage capacity and tracking effect of electric vehicles, the energy storage system is introduced for joint optimization, and the step-by-step search method is adopted to reduce aggregation cost, and at the same time, the optimal capacity and power configuration of energy storage are obtained, and the aggregation scheme of optimizing the physical wind curtailment quantity and economic cost is obtained simultaneously. The example analysis results show that the aggregation method considering energy storage reserve can improve the tracking accuracy of wind power curve and reduce the aggregation cost, which verifies the feasibility and applicability of the proposed model in continuous curve tracking, and provides reference for the improvement of curve tracking transaction market and the construction of new type power system. |
| Key words: electric vehicles load aggregation continuous curve tracking wind power consumption energy storage reserve flexible resources |
