Version 1
: Received: 15 December 2023 / Approved: 15 December 2023 / Online: 18 December 2023 (06:24:19 CET)
How to cite:
C, S.B.; A, U.; R S, G. Optimal Planning of PV Sources and D-STATCOM Devices with Network Reconfiguration Employing Modified Ant Lion Optimizer. Preprints2023, 2023121227. https://doi.org/10.20944/preprints202312.1227.v1
C, S.B.; A, U.; R S, G. Optimal Planning of PV Sources and D-STATCOM Devices with Network Reconfiguration Employing Modified Ant Lion Optimizer. Preprints 2023, 2023121227. https://doi.org/10.20944/preprints202312.1227.v1
C, S.B.; A, U.; R S, G. Optimal Planning of PV Sources and D-STATCOM Devices with Network Reconfiguration Employing Modified Ant Lion Optimizer. Preprints2023, 2023121227. https://doi.org/10.20944/preprints202312.1227.v1
APA Style
C, S.B., A, U., & R S, G. (2023). Optimal Planning of PV Sources and D-STATCOM Devices with Network Reconfiguration Employing Modified Ant Lion Optimizer. Preprints. https://doi.org/10.20944/preprints202312.1227.v1
Chicago/Turabian Style
C, S.B., Usha A and Geetha R S. 2023 "Optimal Planning of PV Sources and D-STATCOM Devices with Network Reconfiguration Employing Modified Ant Lion Optimizer" Preprints. https://doi.org/10.20944/preprints202312.1227.v1
Abstract
This research emphasizes a meta-heuristic Modified Ant Lion Optimizer (MALO) optimization approach for simultaneous utilization of DSTATCOM devices and distributed Photovoltaic (PV) sources with network reconfiguration in a radial power distribution scheme. In a radial power distribution network with network reconfiguration majority of the research is based on Constant Power model analysis. However, it is noticed that load models have a substantial impact on the distributed PV sources and the D-STATCOM device's optimal size and position. The effect of the Constant Power (CP) and Polynomial (ZIP) with load growth load models for the simultaneous insertion of distributed PV sources and DSTATCOM devices with network reconfiguration examined in this research work for power system planning. The penetration levels of distributed PV sources considered for the investigation are 25%, 50%, 75%, and 100%. The principal objective of this research is to reduce network total power losses, enhance the voltage magnitude profile at all buses, and reduce the overall operating cost while adhering to equality and inequality constraints. The proposed algorithm verified on 118-node test systems. The investigation is carried out for planning network upgradation to a High Voltage Distribution System(HVDS) on 317 nodes in the rural Bangalore Electricity Supply Company Limited(BESCOM) radial distribution scheme. Simulated results obtained by this method are validated with the BAT algorithm and available techniques in the literature.
Keywords
distributed generators (DG); Distributed Static Compensators (D-STATCOM); network reconfiguration; load models; MALO algorithm; BAT algorithm
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
