Power Research

K. Dhananjaya babu ¹, A. Lakshmi Devi ²

Affiliations
1 Research Scholar, Dept. of EEE, Sri Venkateswara University, Tirupati-517502, IN
2 Professor, Dept. of EEE, Sri Venkateswara University, Tirupati-517502, IN

Abstract

This paper presents Distribution Generation (DG) placement in distribution systemsbased on cost objective function for a planning period of 10 years. The benefit of DG when connected to the grid mainly depends on the location and size of the same. The real loss index and voltage index were calculated and given as inputs to fuzzy inference system to generate DG location index. The high index values are prioritised in giving for DG locations. Water flow-like algorithm (WFA) is computed for finding the optimal size of DG which will maximise the objective function resulting in the saving for the system. In this paper, interest and inflation rates were taken into consideration to estimate the present cost value of the system. The result analyses are compared for constant load and increasing loadscenarios. It is observed that the invested price on DG is recovered within the planning period. The proposed approach is tested on an IEEE 33-bus system and the results obtained were presented.

Keywords

Distributed Generation; fuzzy logic approach; ieee 33-bus system; increasing load scenario, cost analysis of dg, water flow-like algorithm

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A. Hema Sekhar ¹, A. Lakshmi Devi ²

Affiliations
1 Research Scholar, Dept.of EEE, S.V.University College of Engineering, Tirupati-517503, IN
2 Professor & HOD, Dept.of EEE, S.V.University College of Engineering, Tirupati-517503, IN

Abstract

For the efficient transmission of power from power plants to consumer loads, the power losses are reduced and voltage profiles are improved in modern power system. In order to reduce such losses and improve voltage levels , a recently evolved FACTS technology is used. In this paper, Thyristor Controlled Series Capacitor (TCSC) is selected to enhance the load ability in the transmission line. This paper presents a new approach on modeling of the device by changing the firing angle of the power electronic device of the FACTS device. This is done by using Hybrid GA-PSO and DA-PSO which is participated to finalize the best location of the TCSC device and optimal firing angle of the TCSC. The location of the device is optimized by either GA or DA and the optimized firing angle is done with PSO algorithm. Because of the two different Optimizing techniques are used to solve single objective function. This type of optimization is called Hybrid optimization. The proposed hybrid optimization method is an effective method for finding the optimal location of TCSC device and also for enhancing the voltage profiles of the line and reducing the power system losses. This hybrid GA-PSO and DA-PSO is tested on IEEE 57 test system and simulation results are presented.

Keywords

Power system, transmission system, TCSC, hybrid optimization (GA-PSO, DA-PSO)

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