Simultaneous Integration of Renewable Power Generation and Battery Energy Storage in Distribution Networks
Simultaneous Integration of Renewable Power Generation and Battery Energy Storage in Distribution Networks
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DOI：
10.1109/icps48983.2019.9067684
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发表时间：
2019-12
期刊：
影响因子：
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通讯作者：
Pushpendra Singh;S. K. Bishnoi;N. K. Meena;Jin Yang
中科院分区：
文献类型：
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作者：
Pushpendra Singh;S. K. Bishnoi;N. K. Meena;Jin Yang
本文提出了一种双层优化结构，用于并行部署风力发电，即风力涡轮机（WT）与电池储能系统（BESS）在配电网中。综合考虑反向潮流、年网损、节点电压偏差、换流损耗和BESS的有效利用等因素，设计了目标函数。由于巨大的安装和运行费用的能量存储，多个WT和一个BESS的最佳适应同时确定，旨在最小化网络功率损耗。一种改进的或修正的飞蛾搜索优化（CMSO）已被认可，以解决这个问题的一个中等基准辐射状配电网。考虑到它独特的探索和开发真实的生活问题的能力。不同的测试用例进行了研究，以证明设计的框架有前途的能力。仿真结果比较表明，所提出的优化框架显着减少了年能量损失和从主电网带来的能量，同时提高了系统的DG承载能力。
This article presents a bi-level optimization structure for concurrently deployment of wind base power production,i.e. Wind Turbine (WT ) with Battery Energy Storage System (BESS) in power distribution networks. An objective function has been devised by considering reverse power flow into main power grid, annual energy loss, node voltage deviation, conversion loss and effective utilization of BESS. Due to huge installation and operational charges of energy storage, the optimal accommodation of multiple WTs and one BESS is simultaneously determined aiming to minimize network power loss. A modified or Corrected Moth Search Optimization (CMSO) has been endorse to solve this problem for a medium benchmark radial distribution network. Considering its unique capabilities of exploration and exploitation for real life problems. Different test cases are investigated to demonstrate the promising abilities of devised framework. The comparison of obtain results from simulation demonstrates that suggested optimization framework significantly reduced the annual energy loss and energy brought from the main power grid, while improving DG hosting capacity of the system.