article · Mathematics
Electricity distribution networks face operational challenges in maintaining secure voltage levels across varied daily loading cycles. Repurposing photovoltaic solar farm inverters to operate as static synchronous compensators, termed PVSTATCOM devices, provides ancillary grid support both during the day and at night. This study introduces the artificial rabbits' optimization algorithm, a method modelled on the natural survival behaviours of rabbits, to optimize PVSTATCOM placement and operation. Tested across three daily scenarios on a standard IEEE 33-node network, the algorithm aims to minimise daily energy losses and voltage deviations. The technique achieved a 54.36 percent reduction in energy losses and a 43.29 percent improvement in voltage profiles, keeping all nodal voltages above the 95 percent minimum limit during the day. It also met all operational constraints without violation, outperforming differential evolution and golden search optimization.
Maintaining grid stability becomes difficult as power demand fluctuates. Using existing solar farm inverters around the clock to provide voltage control helps electricity suppliers maintain power quality and reduce wasted energy. The proposed optimization algorithm gives system operators an effective method to schedule and locate these assets, protecting grid reliability without necessitating separate, costly compensation machinery.
The method could be used by electricity utilities and grid operators to plan the integration of solar inverter assets for ancillary service provision. The research is currently early-stage and simulation-based, having been demonstrated exclusively on a benchmark IEEE 33-node network model. Moving towards real-world adoption would require integration into commercial distribution management software and testing on physical distribution feeders.
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Attaining highly secure and safe operation of the grid with acceptable voltage levels has become a difficult issue for electricity companies that must adopt remedial actions. The usage of a PV solar farm inverter as a static synchronous compensator (or PVSTATCOM device) throughout the night has recently been proposed as a way to enhance the system performance. In this article, the novel artificial rabbits’ optimization algorithm (AROA) is developed for minimizing both the daily energy losses and the daily voltage profile considering different 24 h loadings. The novel AROA is inspired from the natural surviving strategies of rabbits. The novel AROA is tested on a typical IEEE 33-node distribution network including three scenarios. Different scenarios are implemented considering PV/STATCOM allocations throughout the day. The effectiveness of the proposed AROA is demonstrated in comparison to differential evolution (DE) algorithm and golden search optimization (GSO). The PVSTATCOM is adequately allocated based on the proposed AROA, where the energy losses are greatly reduced with 54.36% and the voltage deviations are greatly improved with 43.29%. Moreover, the proposed AROA provides no violations in all constraints while DE fails to achieve these limits. Therefore, the proposed AROA shows greater dependability than DE and GSO. Moreover, the voltage profiles at all distribution nodes all over the daytime hours are more than the minimum limit of 95%.
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DOI: 10.3390/math11020339
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