张轶炫, 田志曈, 杨博超, 刘谋海, 马叶钦, 鲁海亮. 考虑动态增容受限的光伏反向过载台区滚动优化策略研究[J]. 高电压技术, 2024, 50(12): 5563-5573. DOI: 10.13336/j.1003-6520.hve.20240669
引用本文: 张轶炫, 田志曈, 杨博超, 刘谋海, 马叶钦, 鲁海亮. 考虑动态增容受限的光伏反向过载台区滚动优化策略研究[J]. 高电压技术, 2024, 50(12): 5563-5573. DOI: 10.13336/j.1003-6520.hve.20240669
ZHANG Yixuan, TIAN Zhitong, YANG Bochao, LIU Mouhai, MA Yeqin, LU Hailiang. Research on Rolling Optimization Strategy Considering the Dynamic Capacity Increase Limitation of Photovoltaic Reverse Overload Distribution Areas[J]. High Voltage Engineering, 2024, 50(12): 5563-5573. DOI: 10.13336/j.1003-6520.hve.20240669
Citation: ZHANG Yixuan, TIAN Zhitong, YANG Bochao, LIU Mouhai, MA Yeqin, LU Hailiang. Research on Rolling Optimization Strategy Considering the Dynamic Capacity Increase Limitation of Photovoltaic Reverse Overload Distribution Areas[J]. High Voltage Engineering, 2024, 50(12): 5563-5573. DOI: 10.13336/j.1003-6520.hve.20240669

考虑动态增容受限的光伏反向过载台区滚动优化策略研究

Research on Rolling Optimization Strategy Considering the Dynamic Capacity Increase Limitation of Photovoltaic Reverse Overload Distribution Areas

  • 摘要: 随着双碳目标的提出,我国整县光伏大力发展。之前的低压配电网设计并未预料到大量的分布式光伏的接入,导致大量配电台区出现反向功率,甚至反向过载的问题。配置储能可以实现台区动态增容从而对过载有效治理,然而储能投资成本高,配置容量往往有限,无法彻底解决台区反向过载问题。因此,从过载对变压器寿命影响出发,提出动态增容受限下反向过载优化治理策略,并与现有的储能最大功率出力以及恒定功率均匀出力策略进行对比。其次,提出考虑反向功率严重时段整体特性的滚动时间窗选取方法,并制定合适的定变窗结合滚动调度策略。最后,利用加入混沌映射与精英反向学习的改进粒子群算法对本文所建立的反向过载优化治理模型进行求解,并对实际台区进行分析,验证了本文过载治理和滚动优化策略有效性。

     

    Abstract: With the promotion of the dual-carbon goals, photovoltaic development across entire counties in China has surged. Previous designs of the low-voltage distribution network did not anticipate the integration of a large number of distributed energy sources, leading to problems of power inversion and even reverse overload. However, the energy storage investment cost is high, the configuration capacity is often limited, and the problem of reverse overload in the area cannot be completely solved. Consequently, we investigate the influence mechanism of overload on transformer life, propose an optimization strategy for managing reverse overload under capacity enhancement limitation, and compare the proposed strategy with the existing strategies of maximum power output and constant power uniform output in energy storage. Secondly, a rolling time window selection method considering the overall characteristics of the reverse power severe period is proposed, and a suitable fixed-variable window combined rolling scheduling strategy is formulated. Finally, an improved particle swarm optimization algorithm with chaotic mapping and elite reverse learning is used to solve the overload optimization governance model. The data in actual area are analyzed to verify the effectiveness of the overload control and rolling optimization strategy in this paper.

     

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