@conference{Sha2025,
Author = {Sharaf Alsharif, Danila Valko, Eric MSP Veith},
Title = {Dynamic Optimization-based Method for Determining the Flexibility Potential at Vertical System Interconnections},

Year = {2025},
Month = {},
Booktitle = {CIRED 2025, 28th Conference and Exhibition on Electricity Distribution},
type = {conference},
Abstract = {The integration of distributed energy resources (DERs) is reshaping distribution grids and changing their role in the power
system which requires more efficient coordination between grid operators. The available power flexibility in a distribution grid
can be aggregated as active and reactive power flexibility region at the interconnection point between transmission system
and the distribution system. The Feasible Operation Region (FOR) represents the available flexibility on the P − Q plane at
this interconnection point. Existing methods for approximating the FOR include different random sampling approaches, which
generate valid power flow points but become computationally inefficient for large distribution grids. Other approaches are
optimization-based which solve a series of optimization problems to approximate the FOR boundary, however, such approaches
face challenges as DERs increase due to non-convexity of the problem. This paper proposes a novel heuristic-based dynamic
sampling strategy using the REvol evolutionary algorithm to walk along the FOR boundary efficiently. This method begins by
finding an initial boundary point and dynamically adapts its search direction using domain knowledge and population reuse
to improve overall performance. Preliminary results on benchmark grids show promise, and the proposed dynamic method is
expected to outperform random sampling as the complexity of the grid increases.}
}
@COMMENT{Bibtex file generated on }