Abstract
This paper proposed a tactic to find a optimal location of Distributed Generation (DG) and its capacity through Particle Swarm Optimization Technique (PSO). The site and size of DG are determined to achieve the highest benefit at the lowest cost and with the aim that distribution system should be efficient and stable. Cost–Benefit analysis is carried out considering investment cost, operating cost, and maintenance cost. Benefits are quantified on the concept of Present Value Factor (PVF). PVF is based on the inflation rate and interest rate. This factor is used to determine benefit likely to accrue to power distribution network at the current market price of electricity. The developed technique is tested on IEEE 34-bus radial distribution system. Results demonstrate that the PSO based algorithms are capable to decide optimum size and bus number for DG, to minimizing the loss and improves the voltage stability and economic benefits.
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Ramavat, S.R., Jaiswal, S.P., Goel, N., Shrivastava, V. (2019). Optimal Location and Sizing of DG in Distribution System and Its Cost–Benefit Analysis. In: Malik, H., Srivastava, S., Sood, Y., Ahmad, A. (eds) Applications of Artificial Intelligence Techniques in Engineering. Advances in Intelligent Systems and Computing, vol 698. Springer, Singapore. https://doi.org/10.1007/978-981-13-1819-1_11
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