Abstract

Capacitor Allocation (CA) and Network Reconfiguration (NR) are the traditional methods extensively applied by the researchers for power loss reduction and node voltage improvement in radial Distribution Network (DN) for the past four decades. In recent years, simultaneous optimization of CA and NR is considered to maximize the power loss reduction in a proficient manner in comparison to individual optimization of CA and NR. To solve the objective functions, this work proposes an application of Autonomous Group Particle Swarm Optimization (AGPSO) by optimal allocation and sizing of capacitors with and without NR, under four different cases, subject to satisfying operating constraints. In addition, to ascertain the impact of real power injection on further power loss reduction, this work considers placement and sizing of Distributed Generation (DG) units from single to three optimal nodes in capacitive compensated optimal DN. This proposed methodology is demonstrated using standard IEEE 33 and 69 bus test system and the results obtained by each test case have been compared with other optimization techniques. A significant amount of power loss gets minimized after optimal DG allocation in reactive power compensated optimal DN.

Highlights

  • Most of the Distribution Network (DN) are constructed as radial circuits which have only one main source of power supply and the power supply will reach the consumers through feeders

  • By comparing the results obtained under case D, it is perceptible that Autonomous Group Particle Swarm Optimization (AGPSO) minimizes the power loss better than SASHOA[29], BTLBO [30], Discrete Dolphin Echolocation (DDE) [30] and the minimum and the maximum power loss reduction difference is 2.56% and 22.0887%, respectively

  • (4) Around 60% of real power loss reduction is achieved by using capacitors with Network Reconfiguration (NR) and a maximum additional power loss reduction of around 35% is achieved by injecting around 88% of the total real power demand at three optimal nodes (33-Bus) (5) The maximum bus voltage enhancement recorded for the cases E and F is 1.0054 p.u. (6) Since the difference in power loss reduction between scenarios 1 and 2 under cases B to D is very small, it is desirable to limit the reactive power compensation up to three nodes only

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Summary

Srinivasan

To cite this article: G. Srinivasan (2021) Optimization of distributed generation units in reactive power compensated reconfigured distribution network, Automatika, 62:2, 249-263, DOI: 10.1080/00051144.2021.1929741 To link to this article: https://doi.org/10.1080/00051144.2021.1929741 Full Terms & Conditions of access and use can be found at https://www.tandfonline.com/action/journalInformation?journalCode=taut20 AUTOMATIKA 2021, VOL. 62, NO. 2, 249–263 https://doi.org/10.1080/00051144.2021.1929741 Department of Electrical & Electronics Engineering, Sasurie College of Engineering, Tirupur, India

Introduction
Objective function and power flow
Arrangement of parameters to solve CA with
IEEE 33 bus system results and discussions
IEEE 69 bus system results and discussions
Conclusions
Findings
Disclosure statement
Full Text
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