考虑网损及经济性的综合源储优化及电池容量设计

闫瑾; 刘丁玮; 罗日成; 刘鹏; 冯健; 邓华宇; 钟焱

doi:10.16513/j.2096-2185.DE.2207401

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分布式能源 ›› 2022, Vol. 7 ›› Issue (4) : 1-9. DOI: 10.16513/j.2096-2185.DE.2207401

学术研究

考虑网损及经济性的综合源储优化及电池容量设计

闫瑾 ¹ ,
刘丁玮 ² ,
罗日成 ¹ ,
刘鹏 ¹ ,
冯健 ¹ ,
邓华宇 ¹ ,
钟焱 ¹

作者信息 +

Integrated Source-Storage Optimization and Battery Capacity Design Considering Network Loss and Economy

Jin YAN ¹ ,
Dingwei LIU ² ,
Richeng LUO ¹ ,
Peng LIU ¹ ,
Jian FENG ¹ ,
Huayu DENG ¹ ,
Yan ZHONG ¹

Author information +

文章历史 +

本文亮点

Wind power output is characterized by intermittensity and instability, and distributed wind power is offen difficult to meet load demand independently, and the wind curtailment rate is high. Therefore, wind power, small hydropower and energy storage batteries are connected to the distribution network at the same time to ensure the stability of the system and reduce the wind curtailment rate of the system. Firstly, the access positions of wind power and small hydropower are calculated with the goal of minimizing the network loss, and verified by PSASP software. Then, the voltage offsets of access nodes are measured by Matlab software. Secondly, the access position of vanadium redox battery (VRB) is obtained with the goal of minimizing the network loss. Then, the multi-objective function is constructed by considering the total cost and air abandon volume. The optimized function is obtained by using the improved hybrid based particle swarm optimization algorithm. Finally, the IEEE 36-node system and the actual wind and hydropower farm data in a certain area are used to verify the effectiveness of the proposed method. The simulation results show that the proposed method can reduce the wind curtailment rate of wind power, maintain the stability of the system, meet the demand of users, and meet the economic requirements.

导出引用

闫瑾, 刘丁玮, 罗日成, 等. 考虑网损及经济性的综合源储优化及电池容量设计[J]. 分布式能源. 2022, 7(4): 1-9 https://doi.org/10.16513/j.2096-2185.DE.2207401

Jin YAN, Dingwei LIU, Richeng LUO, et al. Integrated Source-Storage Optimization and Battery Capacity Design Considering Network Loss and Economy[J]. Distributed Energy Resources. 2022, 7(4): 1-9 https://doi.org/10.16513/j.2096-2185.DE.2207401

中图分类号： TK02

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