Abstract
It has been noted that a number of metaheuristics are applied with success to power system optimal reactive power dispatch (ORPD) challenges. These algorithms’ convergence rates are also determined to be low, and the results they provide are deemed to be inadequate. It suggests that there is insufficient investigation and exploitation in the algorithm. Therefore, an appropriate approach is needed to improve the algorithm’s search performance. The enhanced butterfly optimization algorithm (EBOA) is used in this work to address the power system’s ORPD problems. IEEE 30 bus network is chosen as a base network to test and validate the performance of the methods. On this systems, all three goals—Power Loss Minimization, TVD Minimization, and L-Index Minimization—are taken into account. The outcomes of EBOA have been equated with those of the novel BOA and additional modern heuristics. Additionally, statistical analysis is performed to evaluate the algorithm’s resilience.
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Abbreviations
- i::
-
generating unit
- t::
-
time duration
- ORPD::
-
Optimal reactive power dispatch
- EBOA::
-
Enhanced butterfly optimization algorithm
- TLBO::
-
Teaching learning based optimization
- CSO::
-
Chicken swarm optimization
- EPSO::
-
Evaluated particle swarm optimization
- PLoss::
-
Active Power Loss
- TVD::
-
Total voltage deviation
- gk::
-
Conductance of kth line
- L-Index::
-
Voltage Stability Enhancement
- VPQ::
-
Voltage of load bus
- VPV::
-
Voltage of generating bus
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Acknowledgement
The Research Council of Norway (RCN) provided funding for this work under Grant number. 326673 (SysOpt project).
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Sachan, S., Mishra, S., Øyvang, T., Bordin, C. (2025). Comparison of Optimal Reactive Power Dispatch Methods in IEEE 30 Bus System. In: Jørgensen, B.N., Ma, Z.G., Wijaya, F.D., Irnawan, R., Sarjiya, S. (eds) Energy Informatics. EI.A 2024. Lecture Notes in Computer Science, vol 15272. Springer, Cham. https://doi.org/10.1007/978-3-031-74741-0_18
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