Throughout the past few decades, the share of distributed generation in power systems has increased continuously. This increasing trend coupled with the continuous demand growth in the distribution systems started a shift towards heavier reactive power consumption. The latter paved the way for the development of advanced operational and planning algorithms for power distribution systems. Following these trends in the distribution systems, the distribution grids must be developed with greater reliability and flexibility, i.e. smart grids. Consequently, the implementation of smart technologies instead of traditional ones should be considered wherever feasible. This paper presents an approach for optimal placement, economic sizing, and operation point search of distribution static VAR compensator (D-SVC) using an exhaustive analytical search. The proposed algorithm introduces quite a few novelties, unique, superior, and repetitive results presented on a distribution test system IEEE 69.
Al AhmadA. and SirjaniR., Optimal placement and sizing of multi-type facts devices in power systems using metaheuristic optimisation techniques: An updated review, Ain Shams Engineering Journal11(3) (2020), 611–628, [Online]. Available: https://www.sciencedirect.com/science/article/pii/S2090447919301510.
2.
SirjaniR.MohamedA. and ShareefH., Optimal placement and sizing of shunt FACTS devices in power systems using heuristic optimization techniques: A comprehensive survey, Przeglad Elektrotechniczny88 (2012), 335–341.
3.
MahdadB. and SrairiK., Adaptive differential search algorithm for optimal location of distributed generation in the presence of SVC for power loss reduction in distribution system, Engineering Science and Technology, an International Journal19(3) (2016), 1266–1282, [Online]. Available: http://www.sciencedirect.com/science/article/pii/S2215098615302640.
4.
JazebiS.HosseinianS. and VahidiB., DSTATCOM allocation in distribution networks considering reconfiguration using differential evolution algorithm, Energy Conversion and Management52(7) (2011), 2777–2783, [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0196890411000306.
5.
TaherS.A. and AfsariS.A., Optimal location and sizing of DSTATCOM in distribution systems by immune algorithm, International Journal of Electrical Power & Energy Systems60 (2014), 34–44, [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0142061514000830.
6.
DeviS. and GeethanjaliM., Optimal location and sizing determination of distributed generation and DSTATCOM using particle swarm optimization algorithm, International Journal of Electrical Power & Energy Systems62 (2014), 562–570, [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0142061514002865.
7.
KanwarN.GuptaN.NiaziK. and SwarnkarA., Improved cat swarm optimization for simultaneous allocation of DSTATCOM and DGs in distribution systems, Journal of Renewable Energy2015 (2015), 1–10.
8.
YuvarajT.RaviK. and DevabalajiK., DSTATCOM allocation in distribution networks considering load variations using bat algorithm, Ain Shams Engineering Journal8(3) (2017), 391–403, [Online]. Available: http://www.sciencedirect.com/science/article/pii/S2090447915001318.
9.
ThangarajY.RaviK. and K.R.D., Optimal allocation of DG and DSTATCOM in radial distribution system using cuckoo search optimization algorithm, Modelling and Simulation in Engineering2017 (2017), 11.
10.
AryaA.KumarA. and ChananaS., Analysis of distribution system with D-STATCOM by gravitational search algorithm (GSA), Journal of The Institution of Engineers (India): Series B100 (2019).
11.
PottukkannanB.ThangarajY. and MuthukannanP., Optimal allocation of DSTATCOM in distribution network using whale optimization algorithm, Engineering, Technology and Applied Science Research8 (2018), 3445–3449.
12.
PrasadK.R.S.S.NeerajaT. and PavaniY., Optimal placement of DSTATCOM for power loss reduction and voltage profile improvement in radial distribution systems, International Journal of Advanced Science and Technology29(4) (2020), 840–847.
13.
MohamedS.A., Enhancement of power quality for load compensation using three different FACTS devices based on optimized technique, International Transactions on Electrical Energy Systems30(3) (2020), e12196, [Online]. Available: https://onlinelibrary.wiley.com/doi/abs/10.1002/2050-7038.12196.
14.
MohammedI., A comparative study on single phase TCR reactive power compensator, ELECTRIKA-Journal of Electrical Engineering (2015).
15.
MilanovicJ.V. and ZhangY., Global minimization of financial losses due to voltage sags with FACTS based devices, IEEE Transactions on Power Delivery25(1) (2010), 298–306.
16.
BhattacharyyaB., SVC & TCSC for minimum operational cost under different loading condition, 07 2018.
17.
CaiL.ErlichI. and StamtsisG., Optimal choice and allocation of FACTS devices in deregulated electricity market using genetic algorithms, 1 (2004), 201–207.
18.
EN 50160 - Voltage characteristics of electricity supplied by public electricity networks, CENELEC Std.
19.
RajicicD.AckovskiR. and TaleskiR., Voltage correction power flow, IEEE Transactions on Power Delivery9(2) (1994), 1056–1062.
20.
IEEE 519-1992. Recommended Practices and Requirements for Harmonic Control in Electrical Power, 519-1992, IEEE Std. 519-1992, 1993.
21.
GuptaA.R. and KumarA., Optimal placement of D-STATCOM using sensitivity approaches in mesh distribution system with time variant load models under load growth, Ain Shams Engineering Journal9(4) (2018), 783–799, [Online]. Available: https://www.sciencedirect.com/science/article/pii/S2090447916300855.
