A self-regulating optimization algorithm for locating and sizing a local power generation source for a radial structured distribution system in deregulated environment

Abstract

The Indian power sector is a large and complex network. Maintaining that complex network with the present regulatory format is very difficult for the government as well as transco and discom companies in terms of cost, efficiency, and reliability. That is why the government encourages deregulation in the power sector. One of the deregulation concepts is the integration of local sources into the distribution network. While integrating local sources into the system, several challenges come up, like voltage fluctuations and losses, safety and stability, protection coordination, and mitigation strategies. From those problems, one of the problems is deciding ‘the right place with the right size’ for the local source in RSDS. This work proposes a modified pathfinder optimization algorithm that has a fast convergence rate and the best balance between exploration and mining ability compared to other methods and previous PFOs. Applying MPFO to the IEEE-12 and IEEE-33 test systems to find the optimal place and size of the local source with the help of VSI and LSF. Compare other traditional methods.