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Optimal integration of D-STATCOM in distribution grids for annual operating costs reduction via the discrete version sine-cosine algorithm

This paper deals with the problem of the optimal placement and sizing of distribution static compensators (D-STATCOM) in electrical distribution networks to reduce the total annual operative costs associated with the total costs of energy losses added with the investment costs in D-STATCOM. The meta...

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Bibliographic Details
Published in:Results in engineering 2022-12, Vol.16, p.100768, Article 100768
Main Authors: Montoya, Oscar Danilo, Molina-Cabrera, Alexander, Giral-Ramírez, Diego Armando, Rivas-Trujillo, Edwin, Alarcón-Villamil, Jorge Alexander
Format: Article
Language:English
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Summary:This paper deals with the problem of the optimal placement and sizing of distribution static compensators (D-STATCOM) in electrical distribution networks to reduce the total annual operative costs associated with the total costs of energy losses added with the investment costs in D-STATCOM. The metaheuristic sine-cosine optimization algorithm determines nodes with the location and optimal sizes of the D-STATCOM. A discrete-continuous codification represents the decision variables, where the discrete part is entrusted with the best candidate nodes selection. The continuous part deals with the optimal sizes assigned to the D-STATCOM. Numerical results in the IEEE 33- and IEEE 69-bus systems demonstrate the effectiveness of this approach since it helps to minimize the total grid operation costs compared with the solution of the mixed-integer nonlinear programming model in GAMS. All the numerical validations are carried out in the MATLAB programming environment. •The advantage of the Sine-Cosine Algorithm is that it requires a power flow to explore and exploit the solution space.•The optimal placement and sizing of D-STATCOM can be formulated as a mixed-integer nonlinear programming model.•Radial systems minimize investment costs in conductors and protections schemes. However, provokes high levels of losses.
ISSN:2590-1230
2590-1230
DOI:10.1016/j.rineng.2022.100768