Implement the Particle Swarm Optimization Algorithm with Optimum Location of Capacitor Sizing to Control the Reactive Power on Interconnected Bus System

M  Suneetha; R  Srinivasa Rao  and B  Subramanyam

doi:10.17485/ijst/2016/v9i45/106152

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2016/v9i45/106152

Year: 2016, Volume: 9, Issue: 45, Pages: 1-9

Original Article

Implement the Particle Swarm Optimization Algorithm with Optimum Location of Capacitor Sizing to Control the Reactive Power on Interconnected Bus System

M. Suneetha^1*, R. Srinivasa Rao² and B. Subramanyam³

¹Department of Electrical and Electronics Engineering, Narayana Engineering College, NH-5, Muthukur Road, A.K. Nagar, Near Apollo Hospital, Nellore, Andhra Pradesh –524004, India; [email protected] ²Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University College of Engineering, Pitapuram Road, Kakinada, Andhra Pradesh – 533003 , India; [email protected] ³Sri Venkateswara University College of Engineering, Sri Padmavati Mahila Visvavidyalayam, Tirupati, Andhra Pradesh –517502, India; [email protected]

*Author for correspondence
M. Suneetha Department of Electrical and Electronics Engineering, Narayana Engineering College, NH-5, Muthukur Road, A.K. Nagar, Near Apollo Hospital, Nellore, Andhra Pradesh –524004, India; [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

This paper presents an efficient and reliable Particle Swarm Optimization (PSO) algorithm for solving Reactive power optimization including voltage deviation in Power System. Voltage deviation is the capability of a power system to maintain up to standard voltages at all buses in the system under standard conditions and under being subjected to a disturbance. Reactive power optimization is a complex combinatorial programming problem that reduces power loses and improves voltage profiles in a power system. To overcome this shortcoming, a multi objective PSO is proposed and applied in reactive power optimization on IEEE-30 bus, Here the RPO problem has been formulated as a constrained multi-objective optimization problem by combining of two objective functions (real power loss and voltage profile improvement) linearly shows that the PSO more effectively solve the reactive power optimization problem in power system.

Keywords: Graphical User Interface Tool, Multiobjective Particle Swarm Optimization, Reactive Power – Pso –Ieee 30 Bus –Sizing of Capacitor, Reactive Power Optimization, Voltage Deviation and Loss Minimization