Novel Optimization-Based FACTS Devices for Improving the Power Quality in Electrical Distribution Systems

M Chiranjivi, Katragadda Swarnasri

Abstract


This manuscript represents the DSTATCOM and distributed generation (DG) into real-time imbalance distributed network such that profile of network has been enhanced and loss of line and imbalance of voltages like swells and sag have been lowered. By utilizing random placing of DSTATCOM and DG into the network, it causes maximal line losses and higher voltage that might result in weak-bus & to choose MBO (Monarch butterfly-optimization) weak bus has been determined. Moreover, the bus at which MBO has been minimal is chosen to be weak-bus. Furthermore, this projected model IEEE 57 & 33 bus real imbalanced distribution network has been considered as a fundamental case and analysis of load flow has been carried out by utilizing software called MATLAB. Once the injection of DSTATCOM and DG has been done by appropriate planning, then the profile of voltage has been enhanced and imbalance of voltage and losses of line have been lowered. The projected system feasibility has been assured with single DGs that consists of array fed solar PV as input of DC for DSTATCOM. Furthermore, DSTATCOM based on DG has been injected into weak-bus & to choose weak-bus PVR (positive voltage-ratio) has been defined. Bus, at which PVR has been minimal, has been chosen to be weak-bus.


Keywords


Power distribution network ;Distribution network operators; Power Quality; Positive Voltage Ratio

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References


. Ackermann.T.Anderson.G, Soder.L, “Distributed generation- A definition”, Electric Power Systems Research, 2001, Vol. 57, pp. 195-201.

. Sultana. S, Roy.P.K, “Multi-objective quasi oppositional teaching learning based optimization for optimal location of distributed generator in radial distribution systems”, International Journal of Electrical Power and Energy Systems, 2014, Vol. 63, pp.534-545.

. Injeti S, K.Kumar,” A novel approach to identify optimal access point and capacity of multiple DGs in a small, medium and large scale radial distribution systems”, International Journal of Electrical Power and Energy Systems, 2013, Vol .45, pp. 142-151.

. G. Madhusudhana Rao, V Anwesha Kumar, B V Shankar Ram, “Damping control of DPFC for improving the transient stability using Fuzzy logic controller”, IJECIERD, Vol. 6, Issue 5, 2016, pp.1-8

. Sigh P Bishnoi SK, Meena NK, “Moth Serach Optimizatio for optimal Integration of DERs for Annual Energy Loss minimization in distribution systems”, IEEE International Conference on Power Electronics(IICPE), 2018,pp.1-6.

. Singh P, Bishnoi SK, Meena NK, “Moth Search Optimization for optimal DERS Integration in Conjunction to OLTC Tap Operation in Distribution Systems”, IEEE Systems Journal, 2019,pp. 1-9.

. B.Stott and JL Mainho, “Linear Programming for Power System network security applications”, IEEE Transactions on Power Apparatus Systems, 1979, Vol. 98, pp. 837-848.

. Kim K, Jung L, Lee S and Moon U, “Security Constrained Economic dispatch using Interior point method”, Proceeding of IEEE International Conference on power System Technology, 2006,pp. 1-5.

. Sun DI, Ashley B, Brewer B, Hughes A and Tinney WF, “Optimal Power flow by Newton Approach”, IEEE Transactions on Power Apparatus Systems(PAS), 1984, Vol. 87, pp. 2864-2875.

. Lai LL and Ma JT, “Improved genetic algorithms for optimal power flow under both normal and contingent operation states”, International Journal of Electrical Power Energy Systems, 1997, Vol.19,pp. 287-292.

. Devaraj D, and Yegnanarayana BS, “Genetic Algorithm basedOptimal Power flow for security enhancement”, IEEE Electrical Power Generation, Transmission and Distribution, 2005, Vol.152, pp. 899-905.

. Dorigo M “Optimization, learning and natural algorithms”, PhD Dissertation Department of Electronics, Politechnic, Milan, Italy, 1992.

. G Madhusudhana Rao, “TCSC Designed Optimal Power flow using Genetic Algorithm”, International Journal of Engineering Science and Technology, 2010, Vol.2(9), pp. 4342-4349.

. Onwubolu, Godfrey C, Babu BV “ Ant colony Optimization –New Optimization Techniques in Engineering”,Springer 2004,pp.101-117.

. Gandomkar M, and Tolabi HB, “Investigation of Simulated annealing, Ant Coloy and Genetic Algorithms for Distribution Generation”, Proceedings 9th WSEAS International Conference On Instrumental Measurements Circuits Systems, 2010,pp. 48-52.

. Dorigo M, Maniezzo V and Colorni A, “ the ant system Optimization by a colony of cooperating agents”, IEEE Transaction Systems, Man, Cybernetics Part –B,1996, Vol.26, pp. 29-41.

. Venkateswara rao K and Agarwal PK, “Distribution Systems Voltage Profilr Improvement with Series FACTS devices using Line Flow based equations”, National Power Systems Coference, 2010.

. Venkat Ponnam, K Babu, Dr Swarnasri K, “Novel Technique for optimal placement and sizing of DG in 3-Phase unbalanced radial secondary Dstribution system”, International Journal Innovative Technology and Exploring Engineering, 2020, Vol.09, pp. 1756-1760.




DOI (PDF): https://doi.org/10.20508/ijrer.v12i1.12598.g8388

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