Harmony Search Algorithmic Rule for Optimum Allocation and Size of Distributed Generation

  • Yarraguntla Naveen
  • Pydisetty Maheswara Rao
  • B. Srinivasa Rao
Keywords: Distributed Generation(DG), Improved Multi Objective Harmony Search algorithmic program (IMOHS), Genetic Algorithm(GA), Particle Swarm Optimization(PSO)


Various benefits earned by desegregation Distributed Generation (DG) in distribution systems. Such advantages are often achieved and increased if DGs area unit optimally sized and placed within the systems. The current work presents distribution generation (DG) allocation strategy with objective of up node voltage and minimizes power loss of radial distribution systems victimization improved multi objective harmony search algorithmic program (IMOHS).IMOHS algorithmic program uses sensitivity analysis for distinctive the optimum locations of distribution generation units, the successively reduces the real power loss and improves the voltage profile in distribution system. The target is to scale back active power losses to minimum, whereas to attain voltage profiles within the network in needed and determined limit. Within the gift work the optimum decigram placement and size drawback is developed as a multi-objective improvement drawback to attain the above mentioned situation. 

An IEEE 33-node and IEEE 69-node radial distribution check systems are wont to show the effectiveness of the Improved multi objective Harmony Search rule (IMOHS). The results obtained from the IMOHS methodology shows that vital loss reduction is feasible mistreatment multiple optimum sized decigram units. It’s shown that the IMOHS methodology provides higher ends up in comparisons thereto obtained mistreatment alternative optimization ways like GA and PSO.


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How to Cite
Yarraguntla Naveen, Pydisetty Maheswara Rao, & B. Srinivasa Rao. (2019). Harmony Search Algorithmic Rule for Optimum Allocation and Size of Distributed Generation. International Journal of Engineering and Management Research, 9(5), 146-153. https://doi.org/10.31033/ijemr.9.5.21