Reconfiguration of the Radial Distribution for Multiple DGs by Using an Improved PSO

M'dioud, Meriem; Bannari, Rachid; Elkafazi, Ismail

doi:10.1007/978-981-16-3637-0_18

Cited by 2 publications

(1 citation statement)

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“…The base power and voltage for this system are 100 MVA and 12.66kV, and Table 1 shows the total real and reactive power for the three load levels. The IEEE 33-bus RDN line data (line resistance and reactance) and the bus data (active and reactive loads) used in this study are shown in Appendix A and were taken from [36]. The electric power feeder from a generation/transmission network is designated bus number 1 in this system.…”

Section: System Modellingmentioning

confidence: 99%

Development of DSTATCOM Optimal Sizing and Location Technique Based on IA-GA for Power Loss Reduction and Voltage Profile Enhancement in an RDN

Kallon¹,

Nyakoe

Muriithi

2021

IJEER

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The efficiency of electrical distribution systems is being more affected by the increase in voltage drops and power losses. These issues of voltage drop and power loss can be significantly minimized by the incorporation of a Distribution Static Compensator (DSTATCOM) in the distribution network. However, inappropriate positioning and sizing of DSTATCOM can undermine its efficiency. Despite the contributions of many researchers to the optimal placement of DSTATCOM and other compensators in distribution networks, the problems of voltage drop, power losses, and power quality persist, necessitating the need for additional research in this area. In this paper, an innovative technique based on hybridized Immune and Genetic Algorithm (IA-GA) for optimal DSTATCOM placement and sizing for three distinct load levels is proposed. Simulation and analysis of the proposed algorithm were carried out using IEEE-33 bus radial distribution network (RDN) in MATLAB. The simulation results demonstrate a substantial decrease in power loss and a significant improvement in the voltage profile. Evaluation of the proposed method against existing techniques reveals that the proposed technique outperforms IA and PSO in terms of decreasing power loss and enhancement of voltage profiles. A cost-benefit analysis was performed, and it was discovered that the proposed technique yields improved annual cost savings.

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Section: System Modellingmentioning

confidence: 99%