Abstract
The distribution of electricity has become a challenge as there are losses associated with its distribution and transmission. In reducing such losses employment of Distributed Generation units in the transmission network can benefit greatly. Thus, the concern is on the optimal placement of Distributed Generation units that can provide maximum benefits and optimize several conflicting attributes. In this paper, the emphasis is laid on determining an optimal location for the placement of a Distributed Generation unit under conflicting attributes such as losses, real and reactive power, and voltages at different buses. For this purpose, the Technique for Order of Preference by Similarity to best Solution a Multi-Criteria Decision-Making technique, and Fuzzy TOPSIS technique have been employed for determining the optimal placement of 10 MW Distributed Generation unit at the IEEE 20 Bus System. The results obtained can significantly benefit in reducing losses and greatly help in economical perspective as well.
Highlights
The conventional power plants are outdated as power generation is centralized, which supplies massive electricity from high-capacity long transmission lines
The data or information we have for the criteria does not need to be deterministic usually they are imprecise have we have extended the TOPSIS method to incorporate the vagueness in terms of fuzzy data
Implications The current proposal is based on the determination of the best location for the placement of a DG unit in the IEEE 20 bus system
Summary
The consumption of power defined as ‘the amount of electrical energy consumed per unit of time’, has rapidly increased demand in all sectors around the world. The DG unit can be located at any node in the distribution network, but for loss reduction and voltage stability, the DG unit's optimum location plays a significant role For this purpose, various optimization tools that exist in literature like the mathematical programming technique and multi-criteria decision-making tools like Artificial Bee Colony method, Genetic Algorithm, Differential Evaluation, and many more have been successfully employed by the researchers to study find the optimal location of DG, maximize the revenues generation (Gupta et al, 2021) with the use of renewable energy, minimize the loses or maximize the voltage for the power systems. In the work by Muthukumar and Jayalalitha (2016), an attempt has been made to lessen losses in distribution systems It enables an augmentation in voltage profile by understanding the optimal size and location of DG units and shunt capacitors using the hybrid Harmony Search Algorithm method. They have been used to optimize the distribution network factors
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