Active Distribution Network Planning and Operation Optimisation Based on Digital Twin Technology

A large number of distributed power supply access to the distribution network, will significantly change the structure and operation of the power system at the medium and low voltage level, so that the form and characteristics of the distribution network has undergone a more far-reaching transformation, the distribution network is gradually evolving into a flexible active distribution network with a strong regulatory capacity and low operating losses. These changes have led to the fact that analysis methods and simulation tools for traditional distribution networks are not directly applicable to active distribution networks. Therefore, this paper considers a comprehensive and systematic integration of digital twin technology with active distribution network planning and operation optimisation technology based on digital twin core technologies such as multi-timescale holographic digital simulation and real-time interaction of massive quantitative data, and puts forward key technologies such as modelling simulation, data interaction, planning optimisation and operation optimisation for active distribution networks, to form a set of digital twins covering the whole life cycle of active distribution networks. solution. Further, we propose a demonstration and validation scheme and application system for the key technologies of digital twin for active distribution grids to break through the difficulties in visualisation and landing of digital twin technology, and design multiple demonstration and validation scenarios to reflect the effectiveness and superiority of the digital twin solution. Finally, a set of active distribution network digital twin auxiliary decision support platform is constructed to complete the integration of key technologies such as planning and operation optimisation based on digital twins, so as to improve the economic operation and renewable energy consumption capacity of active distribution networks.