刘科研, 李昭, 贾东梨, 叶学顺. 基于有限状态机的新型配电网多流融合仿真引擎[J]. 高电压技术, 2024, 50(11): 4826-4836. DOI: 10.13336/j.1003-6520.hve.20230708
引用本文: 刘科研, 李昭, 贾东梨, 叶学顺. 基于有限状态机的新型配电网多流融合仿真引擎[J]. 高电压技术, 2024, 50(11): 4826-4836. DOI: 10.13336/j.1003-6520.hve.20230708
LIU Keyan, LI Zhao, JIA Dongli, YE Xueshun. Multi-flow Fusion Simulation Engine for New Distribution Network Based on Finite State Machine[J]. High Voltage Engineering, 2024, 50(11): 4826-4836. DOI: 10.13336/j.1003-6520.hve.20230708
Citation: LIU Keyan, LI Zhao, JIA Dongli, YE Xueshun. Multi-flow Fusion Simulation Engine for New Distribution Network Based on Finite State Machine[J]. High Voltage Engineering, 2024, 50(11): 4826-4836. DOI: 10.13336/j.1003-6520.hve.20230708

基于有限状态机的新型配电网多流融合仿真引擎

Multi-flow Fusion Simulation Engine for New Distribution Network Based on Finite State Machine

  • 摘要: 新型配电网具有多源化、数字化、信息化、柔性化及互动化的特点,其所涉及的信息系统和物理系统紧密耦合、复杂多变,对常规配电系统的规划、运行仿真分析提出了挑战。为解决上述问题,针对配电网能量流、信息流、业务流和控制流的融合特性,提出一种基于有限状态机的新型配电网多流融合仿真引擎,构建了基于实时快速仿真的融合仿真架构,设计了物理层、上位机、实时仿真层之间的状态互动控制方案,以及各层内部的状态控制转换策略,并以新型配电网故障重构应用场景为例,接入融合仿真引擎,优选最佳故障重构路径,并与传统优化模型进行了对比。算例仿真结果表明:所设计的方案能够有效结合新型配电网控制系统,通过通信和控制实现新型配电系统的故障定位与优化重构,为新型配电网的数模混合仿真、业务场景复现与优化运行提供技术支撑。

     

    Abstract: The new distribution network system has the characteristics of multi-source, digitalization, informatization, flexibility, and interactivity. The information and physical systems involved in it are closely coupled and complex, posing challenges to the planning and operation simulation analysis of conventional distribution systems. In order to solve the above problems, in view of the fusion characteristics of energy flow, information flow, service flow and control flow of distribution network, we propose a new distribution network multi-flow fusion simulation engine based on finite state machine, construct a fusion simulation architecture based on real-time rapid simulation, and design a state interaction control scheme between physical layer, host computer and real-time simulation layer, and a state control conversion strategy within each layer. Moreover, the new distribution network fault reconstruction application scenario is taken as an example, and a fusion simulation engine is connected to select the optimal fault reconstruction path, and compared with the traditional optimization model. The simulation results show that the designed scheme can effectively combine with the new distribution network control system, achieve fault localization and reconstruction of the new distribution system through communication and control, and provide technical supports for the digital analog mixed simulation, business scenario replication, and optimized operation of the new distribution network.

     

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