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Abstract The locality of voltage distribution, diversity of load/power characteristic and pulsation of active power determine that the voltage and reactive power regulation of the distribution network needs “multi-level coordination and step-by-step refinement” in the time domain and the spatial domain. A multi-time-space-scale reactive power optimization model for distribution network is established. In the spatial domain, the coordination of “global collaborative optimization”, “zonal self-regulation” and “global coordinated regulation” is carried out, and network dynamic reconstruction is integrated into the global collaborative optimization. Herein, the “feasible domain” is optimized; and dynamic partitioning and self-regulation is performed based on the modularity function and dynamic reactive reserve index to achieve “partition autonomy”; the partition autonomy control results return to the global level for system-wide detection and coordinated control to improve control accuracy. In the time domain, the global synergistic optimization is 1d cycle 1h granularity, the partition self-regulation is 5min granularity, and the model predictive control “predictive model”, “rolling optimization” and “feedback correction” is embedded in each layer to achieve the “partition layer by layer” optimization control of space-time coupling. Finally, the IEEE 33-node system is taken as an example for simulation analysis. The results show that the model built in this paper achieves granular control in both spatial and temporal domains, which shows significant engineering application value.
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Received: 26 December 2018
Published: 30 October 2019
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