The operation of islanded microgrids by droop-controlled distributed generations, along with solar PVs and batteries, is critical to meet the different load demands throughout the year without compromising reliability and power quality. So, it is a primary concern for the operator of the islanded microgrid to satisfy the consumers’ demand and improve the network performance. The main issue related to operating an islanded microgrid at different load levels is maintaining the system frequency and node voltages within acceptable limits as well as reducing the network's power losses. The deviation of node voltages causes the deterioration of voltage stability, quantified by the deviation of the voltage stability index. Thus, the droop settings of dispatchable distributed generations at the best locations, along with the charging-discharging scheduling of batteries at the PV nodes, are optimised at different load levels of an annual load curve by honey badger optimisation algorithm based on minimisation of power losses, deviation of the system frequency and deviation of voltage stability index. The effectiveness of the methodology is tested by applying it on a 33-node radial islanded microgrid.

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Optimal Location and Droop Setting for Dispatchable Distributed Generations in Islanded Microgrid with PV and BESS

  • Sandeep Kumar Das,
  • Supriya Sarkar

摘要

The operation of islanded microgrids by droop-controlled distributed generations, along with solar PVs and batteries, is critical to meet the different load demands throughout the year without compromising reliability and power quality. So, it is a primary concern for the operator of the islanded microgrid to satisfy the consumers’ demand and improve the network performance. The main issue related to operating an islanded microgrid at different load levels is maintaining the system frequency and node voltages within acceptable limits as well as reducing the network's power losses. The deviation of node voltages causes the deterioration of voltage stability, quantified by the deviation of the voltage stability index. Thus, the droop settings of dispatchable distributed generations at the best locations, along with the charging-discharging scheduling of batteries at the PV nodes, are optimised at different load levels of an annual load curve by honey badger optimisation algorithm based on minimisation of power losses, deviation of the system frequency and deviation of voltage stability index. The effectiveness of the methodology is tested by applying it on a 33-node radial islanded microgrid.