# Sizing and Allocation of Distributed Energy Resources for Loss Reduction using Heuristic Algorithms

**Authors:** Ali Parsa Sirat, Hossein Mehdipourpicha, Niloofar Zendehdel, Hamid Mozafari  
**arXiv:** [1911.07443](https://arxiv.org/abs/1911.07443)  
**Date:** 2019-11-18  
**Summary page:** https://www.summarizepaper.com/en/paper/1911.07443v2/

## Key points

- Loss minimization in distribution networks is crucial due to the increasing trend towards distributed generation (DG)
- Voltage instability in DNs poses a significant risk, potentially leading to system-wide blackouts
- DG presents an opportunity to enhance DN capabilities and introduce new possibilities for traditional networks
- The study focuses on determining the optimal location of DGs to minimize losses in distribution networks
- Genetic algorithm (GA), harmony search algorithm (HSA), and an improved version of HSA are applied to identify suitable placement of DGs
- Simulations on an IEEE 33 bus network were conducted to compare performance of different algorithms in minimizing losses
- Research highlights how heuristic algorithms can effectively optimize allocation and sizing of distributed energy resources for loss reduction

## Summary

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Loss minimization in distribution networks (DN) is crucial due to the increasing trend towards distributed generation (DG), which necessitates the most efficient operating scenario for economic viability. Voltage instability in DNs poses a significant risk, as it can potentially lead to system-wide blackouts. The declining level of voltage stability also hinders distribution companies from serving increased loads. However, DG presents an opportunity to enhance DN capabilities and introduce new possibilities for traditional networks. In this study by Ali Parsa Sirat, Hossein Mehdipourpicha, Niloofar Zendehdel, and Hamid Mozafari, the focus is on determining the optimal location of DGs to minimize losses in distribution networks. To achieve this objective, genetic algorithm (GA), harmony search algorithm (HSA), and an improved version of HSA are applied. These heuristic algorithms are utilized to identify the most suitable placement of DGs within the network. The researchers conducted simulations on an IEEE 33 bus network to compare the performance of different algorithms in minimizing losses. By analyzing the simulation results, they were able to determine the best algorithm for achieving minimum losses in the distribution network. This research provides valuable insights into how heuristic algorithms can be effectively used to optimize the allocation and sizing of distributed energy resources for loss reduction in distribution networks.