DESIGN OF OPTIMIZATION-BASED HOSTING CAPACITY MODEL IN DISTRIBUTION NETWORKS CONSIDERING MULTI-CONSTRAINTS USING A TWO-STAGE SCREENING APPROACH

• Main Author: Aulia Rizqi Leksono, Adhyatma
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/81348
• Institution: Institut Teknologi Bandung

The increasing penetration of distributed solar power into distribution networks is driven by the energy transition and promising future of solar energy. However, integrating these solar power plants can introduce challenges to the existing grid. This paper proposes a model to determine the maximum capacity of distributed solar power that can be integrated without exceeding operational limits or requiring network upgrades. The proposed method utilizes a two-stage multi- constraint optimization approach. The first stage identifies locational hosting capacity (LHC) values and worst-case scenarios. The results from stage one then become the reference for stage two, which optimizes within the LHC limit and simulates the worst-case scenario. The search method and PSO (Particle Swarm Optimization) parameter control were investigated, with the best solution achieved using the bisection search method and PSO-TVAC (Time-Varying Acceleration Coefficients). The model successfully identified the worst-case scenario: the 7th day at 9:10 AM, with the limiting factor being the 26th order voltage harmonic distortion. This approach leads to a time- and resource-efficient model for calculating the hosting capacity of distributed solar power plants by limiting the number of optimization simulations required.