Optimal placement of battery energy storage system for voltage profile improvement and power loss reduction

This dissertation investigates the optimal placement of Battery Energy Storage Systems (BESS) in a modified 16-bus Witzenberg radial distribution network incorporating renewable energy sources, particularly photovoltaic (PV) systems. As the distribution networks increasingly integrate intermittent renewable energy sources, the strategic deployment of BESS becomes crucial for maintaining system stability and efficiency. This dissertation aims to investigate the most effective location for BESS placement to minimize total system costs associated with active power losses and voltage profile deviations. The methodology employs a dual-software approach, utilizing MATLAB for optimization algorithms and DigSilent PowerFactory for load flow analyses. Initial assessments establish a baseline scenario without BESS, followed by the application of Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) to identify optimal BESS locations. The study conducts comprehensive simulations with BESS at various buses, including algorithm to identify optimal location and other strategic positions within the network. Performance evaluation incorporates a percentage voltage deviation index (PVDI) to quantify improvements in voltage deviations. The research also compares the effectiveness of PSO and GA in minimizing the objective function, providing insights into their applicability for BESS placement optimization. Results demonstrate significant improvements in voltage profiles and reductions in active power losses through strategic BESS placement. Two key results include: • BESS placement at the optimal location (bus 13) led to a substantial reduction in active power losses from 8 MW to 3.3 MW, representing a significant 58.75% decrease. • The overall percentage voltage deviation index (PVDI) was reduced from 11.98% to 5.24% with optimal BESS placement, indicating a 56.26% improvement in voltage stability across the network. These results highlight the potential of BESS in enhancing the performance of distribution networks with high renewable energy penetration. The dissertation results demonstrates that strategic BESS placement can simultaneously address both research aims: reducing active power losses and improving voltage deviations profile.

Grantor dc:publisher.institution

Department of Electrical Engineering

Year dc:date.issued

2025

Author dc:creator

• Skunana, Nkululeko Skunana

Advisors dc:contributor.advisor

• Folly, Komla
• Awodele, Kehinde

• Battery Energy Storage Systems
• Photovoltaic Systems
• Particle Swarm Optimization (PSO)
• Genetic (GA) Algorithm
• Voltage Profile Deviation
• Power losses

Language dc:language.iso

en

Handle dc:identifier.uri

http://hdl.handle.net/11427/42699

OAI identifier oai:identifier

oai:open.uct.ac.za:11427/42699