GRIDMAP-Based modeling and MIPSO-driven optimization for the placement and relocation of reclosers, sectionalizers, fuses, remote-controlled switches, and manual switches in distribution grids

Mohammadian Mehr, Mehdi; Farzin, Hossein

doi:10.24200/sci.2025.66489.10513

GRIDMAP-Based modeling and MIPSO-driven optimization for the placement and relocation of reclosers, sectionalizers, fuses, remote-controlled switches, and manual switches in distribution grids

Articles in Press

Document Type : Research Article

Authors

Mehdi Mohammadian Mehr

Hossein Farzin

Faculty of Engineering, Department of Electrical Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran.

10.24200/sci.2025.66489.10513

Abstract

This paper introduces a framework for the optimal allocation of protection and control devices including reclosers, sectionalizers, fuses, remote-controlled switches, and manual switches in power distribution systems. Central to this study is the development of the GRIDMAP model, a scalable, matrix-based representation of the distribution network topology. GRIDMAP enables detailed modeling of complex grid structures, supports both permanent and temporary fault analysis, and integrates real-world operational constraints such as device relocation and load growth. Building upon this modeling foundation, a Modified Particle Swarm Optimization (MIPSO) algorithm is implemented to solve the allocation problem. The algorithm leverages GRIDMAP’s structure to evaluate candidate locations efficiently, apply relocation strategies for existing devices, and minimize both installation and customer interruption costs. The MIPSO model outperforms ACO and ICA in cost and speed, shows stable results over 10 runs, and sensitivity analysis highlights the trade-off between equipment quality, total cost, and computation time. Notably, the model allows the relocation of existing equipment within the optimization process, and can be extended to other metaheuristic algorithms with ease. The proposed method is validated through four distinct scenarios on a modified IEEE 69-bus distribution system. Overall, GRIDMAP proves to be a robust and adaptable tool for advanced distribution grid planning and reliability enhancement.

Keywords

Optimal Switch Allocation

Protection and Control Devices

Mixed-Integer Particle Swarm Optimization (MIPSO)

Device Relocation

Distribution Grid Planning

Graph-based Representation and Integrated Distribution Modeling for Analysis and Planning (GRIDMAP)

Subjects