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The intra-day scheduling computational method of source-network-load-storage coordination based on graph database and graph computation
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1.China southern power grid co., ltd. Yunnan electric power dispatching control center;2.School of Electrical Engineering, Beijing Jiaotong University;3.College of Electrical Automation and Information Engineering, Tianjin University

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Supported by the China Southern Power Grid Co., Ltd. Yunnan Electric Power Dispatching Control Center, Project (YNKJXM20222463)

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    Abstract:

    The new power system needs the cooperative optimization scheduling of "integration of source-network-load-storage". At present, the scheduling automation system uses relational database to query and store data based on multiple associated tables, which is diffi-cult to meet the requirement of fast computation. It proposes a graph-based calculation method for day-day scheduling of load-network-load-storage in this paper. Firstly, the graph database is used to integrate the spatiotemporal data of source network. Second-ly, considering thermal power units, adjustable load, energy storage and other resources, it constructs the optimization model of in-tra-day scheduling of source-network-load-storage collaboration. Thirdly, based on the safety check results, the system operating state is corrected until all operating constraints are met. A quick calculation method of power flow based on graph calculation is proposed to check system security quickly. Finally, Through the analysis of improved IEEE118 nodes and IEEE1354 examples, it is verified that the proposed source network co-optimization can im-prove the computing efficiency.

    Reference
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    Source-Network-Load-Storage Coordination Based on GraphWANG Zhenyi1,GAO Daochun1,MO Xi1,GE Benxing1,LU Xuegang1,QIE Jingbiao2,XIE Hua2,ZAHNG Pei2,3(1. China southern power grid co., ltd. Yunnan electric power dispatching control center, Yunnan, Kunming 650000, China;
    2. School of Electrical Engineering, Beijing Jiaotong University, Beijing 100084, China;
    3. College of Electrical Automation and Information Engineering, Tianjin University, Tianjin 300072, China;)Abstract: The new power system needs the cooperative optimization scheduling of "integration of source, network, load and storage". At present, the scheduling automation system adopts the relational database. When querying multiple relationships such as power supply, power grid, energy storage, and load, It is difficult to meet the requirement of fast computation because of the need to associate several associated tables. It proposes a graph-based calculation method for day-day scheduling of load-storage coordination in source network in this paper. Firstly, the graph database is used to integrate the spatiotemporal data of source network. Secondly, considering thermal power units, adjustable load, energy storage and other resources, it constructs the optimization model of intra-day scheduling of source-network-load-storage collaboration. Finally, the paper presents a fast power flow calculation method based on graph calculation to check whether the optimization results meet the security of scheduling operation. With corresponding operational constraints , the model re-calculates the results? that do not meet the operation requirements. Through the analysis of IEEE118 nodes and IEEE1354 examples, it is verified that the proposed source network co-optimization can im-prove the computing efficiency.Keywords: graph-theoretical algorithm; spatiotemporal data fusion; source-network-load-storage coordination; intra-day scheduling
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History
  • Received:March 11,2024
  • Revised:May 09,2024
  • Adopted:May 11,2024
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