Charge Scheduling Benchmark Problem Suite (CSBP-2)

Version 1.0.0 (8.82 KB) by Furkan
Charge Scheduling Benchmark Problems (CSBP-2)
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Updated 13 Aug 2025

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This submission presents a new Charge Scheduling (CS) problem package with high real-world applicability. The first version of the previously presented CSBP problem package was redesigned in this study based on a realistic driver behavior model and existing infrastructure conditions. Considering real-world conditions, the first version of CSBP was redesigned to fully consider the high penetration of electric vehicles and the existing distribution network capacity. The presented CSBP-2 package was developed considering the operating conditions of charging stations in residential areas (IEC Standard Level-1/2). This is primarily due to the prioritization of grid concerns at Level-1/2 charging stations and the adjustable vehicle charging power. High penetration of electric vehicles is considered the integration of a large number of vehicles into the grid. This requires modeling the existing problem with a large number of independent variables. Therefore, solving the problem becomes much more challenging. The new CSBP-2 package addresses this shortcoming by considering the high penetration of electric vehicles. Furthermore, peaks created by electric vehicles in the grid will cause unstable grid operation. In the first version of CSBP, secondary peaks were likely to occur in problem areas where consumers outnumbered prosumers. To overcome this issue, a new constraint was modeled in the new CSBP-2 package for the problem type where consumption is high.

Cite As

Üstünsoy, F., Kahraman, H. T., Sayan, H. H., & Sönmez, Y. (2025). Evolutionary Population Management for the Design of Metaheuristic Search Algorithms: Three Improved Algorithms, Real-Time Charge Scheduling Problems, Optimal Solutions and Stability Analysis. Knowledge-Based Systems, 114221.

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Created with R2025a
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1.0.0