M. Damodar Reddy’s scientific contributions

This paper gives the performance of Unified Power Quality Conditioner (UPQC) in radial distribution systems. The main emphasis in this paper is to evaluate the performance of UPQC in steady state operating conditions. The two most important components of UPQC are series and shunt compensators. In normal practice, the series compensator injects series voltage to mitigate sag and swell in the supply voltage. In the proposed approach, the series compensator injects the series voltage in normal operating conditions. The series and shunt compensators take part in providing compensation to the distribution network. UPQC allocation in a large distribution network is solved by Particle Swarm Optimization (PSO) method. The optimization is carried out with the aim of minimization of network power loss. The UPQC is placed at each bus in the distribution network. The series compensator voltage is determined by using PSO method. Hence, the reactive power provided by the shunt compensator is determined. In order to include the effect of series and shunt compensator, a forward-backward sweep load flow algorithm comprising of UPQC is used. Two test systems are used to evaluate the performance of the proposed approach. The results of the proposed approach are compared with the approaches available in the literature.

This paper acquaints us with the problem of Unified Power Quality Conditioner (UPQC) placement in radial distribution systems. The objective of UPQC placement is to reduce the real power losses and improve the voltage profile. The problem is formulated as a nonlinear single objective problem. The voltage compensation is done by injecting active and reactive power with the aid of series compensator of UPQC. The shunt compensator provides the required load reactive power along with the series compensator. The optimal placement of UPQC is unraveled using the latest optimization method known as Ant Lion Optimization (ALO) method. The proposed method is tested using standard distribution systems.