基于混合整数二阶锥的分布式光伏配电网智能负荷转供模型研究  

Research on Intelligent Load Transfer Model for Distributed Photovoltaic Distribution Network Based on MISOCP

作　　者：曹文书 马迪 徐旭东 刘志强 李坤 CAO Wenshu;MA Di;XU Xudong;LIU Zhiqiang;LI kun(State Grid Bozhou Electric Power Supply Company,Bozhou Anhui 236000,China)

机构地区：[1]国网安徽省电力有限公司亳州供电公司,安徽亳州236000

出　　处：《自动化与仪器仪表》2024年第12期85-88,93,共5页Automation & Instrumentation

摘　　要：近年来分布式发电技术普遍应用在当前可持续发电中,而大规模的分布式发电设备接入电网后存在能量损耗较高的缺陷。为了解决上述问题,研究采用混合整数二阶锥规划算法进行寻优,旨在降低负荷转供过程的能量损耗。由实验结果可得,研究提出的改进模型对电压突变的状况有明显的改善,优化后的节点电压差由0.19 kV降低到了0.13 kV。此外,模型优化后平均能量损耗占比也有所改善,优化前模型能量损耗占比为0.033%,优化后的能量损耗占比降低到了0.019%。实验证明,研究提出的模型实现了负荷的快速转供,且在负荷转供过程中做到了低损耗、高效率的转供。研究提出的智能负荷转供模型为分布式光伏配电网的发展奠定了基础,同时也为推动绿色能源转型提供了有力支持。In recent years,distributed power generation technology has been widely applied in current sustainable power generation,but large-scale distributed power generation equipment has the drawback of high energy loss when connected to the grid.To solve the above problems,a mixed integer second-order cone programming algorithm is adopted for optimization,aiming to reduce energy loss in the process of load transfer.From the experimental results,it can be seen that the improved model proposed in the study has significantly improved the situation of voltage fluctuations,and the optimized node voltage difference has been reduced from 0.19 kV to 0.13 kV.In addition,the average energy loss proportion has also improved after model optimization.Before optimization,the energy loss proportion of the model was 0.033%,and after optimization,the energy loss proportion decreased to 0.019%.Experimental results have shown that the proposed model achieves fast load transfer and achieves low loss and high efficiency during the load transfer process.The intelligent load transfer model proposed in the study has laid the foundation for the development of distributed photovoltaic distribution networks,and also provides strong support for promoting the transformation of green energy.

关 键 词：MISOCP算法 光伏配电网 分布式电源 负荷转供 

分 类 号：TP732[自动化与计算机技术—检测技术与自动化装置] TP29[自动化与计算机技术—控制科学与工程]