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主动配电网二阶段安全优化调度研究

Research on Two-Stage Optimal Dispatching of Active Distribution Network
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摘要 为应对大规模新能源的接入,以IEEE 33节点配电网模型为基础,添加了可调度负荷和无功调压设备,基于二阶锥支路潮流模型,构建了主动配电网日前-日内调度模型。日前阶段以综合运行成本为优化目标,对配电网各设备未来24 h的出力情况进行调度。日内滚动优化调度阶段,则将储能设备、电动汽车以及电容器组的日前调度结果作为约束条件,以电压稳定性、网损和新能源利用率为优化目标。可调度负荷接入后,日前调度的新能源消纳率提高了4.41%,购电成本从472.03元降至446.90元。与日前调度结果相比,日内调度中新能源消纳率降低0.53%,各节点电压偏移最大值从0.060 0降至0.025 3。实验结果表明,提出的二阶段调度模型电压偏移较低,同时新能源利用率较高。 In order to cope with large-scale new energy access,a two-stage optimization scheduling model of an active distribution network is constructed.Based on the IEEE 33-node distribution network model,a day-to-day scheduling model of an active distribution network is constructed by adding dispatchable loads such as electric vehicles and energy storage devices,and reactive power regulating devices such as capacitor banks,static reactive power compensation,and on-load voltage regulating transformers.In the pre-day stage,the output of each equipment in the distribution network in the next 24 hours is scheduled with the optimization goal of comprehensive operation cost.In the intra-day rolling optimization scheduling stage,day-ahead scheduling results of energy storage equipment,electric vehicles,and capacitor banks are taken as constraint conditions,and voltage stability,network loss,and new energy utilization are taken as optimization objectives.The rolling optimization cycle is 4 hours.After dispatching load access,the new energy consumption rate of day-ahead dispatching increased by 4.41%,and the power purchase cost decreased from 472.03 yuan to 446.90 yuan.Compared with the day-ahead scheduling,the absorption rate of new energy in day-ahead scheduling is reduced by 0.53%,and the maximum voltage offset of each node is reduced from 0.0600 to 0.0253.Experimental results show that the proposed two-stage scheduling model has a lower voltage offset and higher new energy utilization.
作者 贾莹 刘汉立 赵书琪 李洋 韩鹏飞 陈飙 JIA Ying;LIU Hanli;ZHAO Shuqi;LI Yang;HAN Pengfei;CHEN Biao(School of Electrical and Information Engineering,Northeast Petroleum University,Daqing 163318,China;Power No.1 Company,Petro China Electric Energy Limited Company,Daqing 163453,China;Purifier Branch,Daqing Oilfield Water Company,Daqing 163453,China;Information and Communication Center,PetroChina Power Supply Company,Daqing 163453,China)
出处 《吉林大学学报(信息科学版)》 CAS 2023年第4期709-716,共8页 Journal of Jilin University(Information Science Edition)
基金 东北石油大学引导性创新基金资助项目(15071202201)。
关键词 二阶段模型 主动配电网 优化调度 二阶锥模型 two-stage model active distribution network optimal dispatching second-order cone model
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