@inproceedings{Sha2023,
Author = {Sharaf Alsharif, Marcel Sarstedt, Eric MSP Veith},
Title = {Comparison of Heuristic Optimization-Based Methods for Determining the Flexibility Potential at Vertical System Interconnections},

Year = {2023},
Booktitle = {2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE)},
Doi = {10.1109/ISGTEUROPE56780.2023.10408255},
Url = {https://ieeexplore.ieee.org/document/10408255},
type = {inproceedings},
Abstract = {The cooperation between Transmission System Operator (TSO) and Distribution System Operator (DSO) is necessary to coordinate system operator interactions to ensure a conflict-free operation of the overall system. One efficient and discrete way to communicate flexibility potential is through standardized aggregation of active and reactive power flexibility in lower grid hierarchies, represented by the Feasible Operation Region (FOR) at the interconnection point. The FOR can be determined using several methods, including data-driven as well as optimization-based approaches. Heuristics can be used to solve the problem, providing compatibility with black-box grid models and improved performance when compared to other optimization approaches. This paper compares two heuristics used in literature, namely the modified Particle Swarm Optimization and the evolutionary algorithm REvol, under a unified experimental setup to evaluate their ability to determine the area of the FOR and their performance in terms of computing time. The methods’ performance is also compared against a state-of-the-art data-driven method. The results demonstrate that both heuristics have competitive performance and outperform the state-of-the-art data-driven method. Handling network and device constraints within the objective function plays a significant role in the methods’ performance. The hyperparameters of Both algorithms can be re-tuned when increasing the number of nodes or feeders in the individual network}
}
@COMMENT{Bibtex file generated on }