Abstract
Installation of Distributed Generator (DG) is a well accepted method to improve power system operation from the point of reducing congestion and improving voltage profiles. For best results, Distributed Generators should be placed at strategic locations to exploit maximum benefits out of them. The (N-1) contingency criterion has been taken into account in this work. Most congested lines of the grids are ranked by congestion Index and considered to study the impact of DG penetration on congestion. The present paper proposes contribution factors of Distributed Generators for the placement of DG to keep the line flow within the capacity of each transmission line of the network. The results obtained from IEEE 30-bus test system indicate that the proposed methods are capable of identifying desirable DG location and its maximum allowable size. The influence of DG on bus voltage profile has also been demonstrated in this paper.
Highlights
In the last decade, the electricity supply industry has undergone global restructuring, which has significantly changed the electric energy system scenario
Placement of new generating stations goes under the hand of private entities and under the policy of Transmission Open Access (TOA), Independent Power Producers (IPP) may be interested to install Distributed Resources (DR’s) close to loads as competitive alternatives since DR’s can ease the risks of market price hike
Optimal value of the Distributed Generator (DG) capacity can be obtained to enhance the system performance by improving voltage profiles of the various buses and reducing the system losses The method proposed in this paper has a benefit over most of the earlier works cited in this literature, in the sense that union of three factors are considered as an the input for ANN clustering; the approach could be used in the field of new expansion of the networks meeting huge customer demand and estimates desirable zones for the placement of DG by dividing whole power system into different congestion zones reducing real and reactive power losses and improving voltage profiles
Summary
The electricity supply industry has undergone global restructuring, which has significantly changed the electric energy system scenario. Power Contribution Factor and Voltage Sensitivity Index have been determined and an ANN clustering technique has been implemented to select the load buses for DG allocation with respect to overloaded lines in the system. Optimal value of the DG capacity can be obtained to enhance the system performance by improving voltage profiles of the various buses and reducing the system losses The method proposed in this paper has a benefit over most of the earlier works cited in this literature, in the sense that union of three factors are considered as an the input for ANN clustering; the approach could be used in the field of new expansion of the networks meeting huge customer demand and estimates desirable zones for the placement of DG by dividing whole power system into different congestion zones reducing real and reactive power losses and improving voltage profiles
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