OPTIMAL POWER FLOW OF CLUSTER-BASED DC MICROGRID SYSTEM FOR RURAL AREAS USING DIJKSTRAâS ALGORITHM APPROACH
Indonesia, as a vast archipelago, encounters substantial geographical challenges in ensuring reliable electricity access, primarily in 3T (frontier, outermost, and disadvantageous) areas. The utilization of renewable energy through DC Microgrid technology has the potential to enhance electricity...
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Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/87019 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Indonesia, as a vast archipelago, encounters substantial geographical challenges
in ensuring reliable electricity access, primarily in 3T (frontier, outermost, and
disadvantageous) areas. The utilization of renewable energy through DC
Microgrid technology has the potential to enhance electricity availability and
reliability in those areas. A cluster-based DC microgrid system, incorporating
photovoltaics (PV) and batteries, can operate independently and power sharing
between clusters. The optimal power flow (OPF) solutions ensure the most secure
and efficient operating point for power distribution. The proposed algorithm
minimizes distribution losses using Dijkstra’s Al-gorithm approach. This approach
calculates the weight for each path, identi-fying the shortest path in networks
representing cluster-based DC Microgrid systems. Each weight corresponds to the
power distribution loss between clusters. The analysis also incorporates varying
State of Charge (SoC) condi-tion of batteries in get optimal power flow. The optimal
power flow results are validated using MATLAB Simulink and experimental results
from previous studies. A multi-cluster scenario is implemented using a modified 9
IEEE bus system, considering different SoC conditions and demonstrating the
optimal power sharing strategy between clusters. The proposed algorithm is
implemented using MATLAB software and serves as a valuable tool for guiding the
planning and design of DC microgrid systems. Furthermore, the result show that
this approach enhances power reliability by addressing the challenge arising from
power source fluctuations and load variations. |
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