Dianli jianshe (Jun 2025)
Adaptive Optimal Dispatching of Flexible Interconnected Distribution System Based on Dynamic Weight
Abstract
[Objective] As a flexible and controllable power regulation device, the flexibly interconnected soft open point can improve the power flow and increase the economy and voltage quality of distribution systems. [Methods] To mitigate the impact of unplanned load fluctuations on distribution systems, this study proposes adaptive optimal dispatching of a flexible interconnected distribution system based on dynamic weight. A two-stage adaptive optimization scheduling framework is established based on the system operation requirements across different time-scales and response speeds of various adjustment devices. This framework is adopted to facilitate collaborative optimization involving energy storage, soft open points, and distributed generation. Furthermore, considering the competition between the scheduling plan based on economic decision-making and that based on voltage fluctuation decision-making in the system operation process, a method for determining the weight coefficients based on the day-ahead optimization results during the intra-day stage is proposed. This method calculates the weight coefficients for multiple objectives of various nodes at different times by considering both the temporal and spatial dimensions. [Results] The effectiveness of the proposed optimal scheduling strategy is verified by the IEEE 33 system. The results show that the proposed strategy can reduce the distribution network operational cost and improve the voltage quality. [Conclusions] Compared with the single-time-scale optimal scheduling strategy, the proposed multi-time-scale optimal scheduling scheme has a better effect of suppressing source-load fluctuation, and the operation cost and voltage fluctuation are smaller, which effectively improves the economy and voltage quality of the distribution network operation. Meanwhile, compared with the traditional multi-objective optimization solving method, the proposed dynamic weight coefficient determination method can track the system structure and operational demand and realize the synergistic optimization of the system economy and voltage deviation.
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