Battery Energy Storage System Sizing Using PSO Algorithm in DIgSILENT PowerFactory

Wei Hown Tee, Khaldon Ahmed Qaid, Chin Kim Gan, Pi Hua Tan

Abstract


The usage of battery energy storage system (BESS) can be a significant technology to improve the performance of power systems. Optimal sizing of BESS can reduce power losses, improve voltage profile and relieve peak demand in power systems. This paper aims to establish a simulation-based optimization in DIgSILENT Programming Language (DPL) script in DIgSILENT PowerFactory environment, which is more efficient for data exchange between operations. Problem for optimization of BESS sizing and placement are formulated in DPL script with analytic algorithm and particle swarm optimization (PSO) with loadflow simulation. The IEEE 9-bus system is the test case used to demonstrate and discuss the application of algorithms in DPL script. The placement of BESS is identified to be optimal with lowest power losses of 4.962 MW at bus 5 and the optimal BESS size of 47.168 MW with operation cost of 4852.65 $/h are determined. The output of the study concludes that optimal sizing of BESS can be applied in solving power system problems effectively with DPL operations. This paper serves as reference for researchers to study and implement optimization in DIgSILENT DPL script.


Keywords


DIgSILENT PowerFactory; analytic algorithm; particle swarm optimization; battery energy storage system

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References


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DOI (PDF): https://doi.org/10.20508/ijrer.v12i4.13470.g8591

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