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Optimal Reactive Power Compensation in Distribution Networks with Radial and Meshed Structures Using D-STATCOMs: A

Víctor Manuel Garrido1, Oscar Danilo Montoya2,3, Ángeles Medina-Quesada4

  • 1Programa de Ingeniería Eléctrica, Facultad de Ingenierías y Arquitectura, Universidad de Pamplona, Pamplona 543050, Colombia.

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PubMed
Summary
This summary is machine-generated.

This study optimizes the placement and size of distribution static compensators (D-STATCOMs) in electrical grids to reduce annual operating costs. The proposed convex model efficiently determines optimal D-STATCOM configurations for various network types.

Keywords:
distribution static compensatorsmixed-integer convex optimizationoptimal power flow approximationradial and meshed distribution networks

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Area of Science:

  • Electrical Engineering
  • Operations Research
  • Optimization

Background:

  • Minimizing operating costs in electrical distribution networks is crucial.
  • Distribution static compensators (D-STATCOMs) are key for voltage regulation and loss reduction.
  • Existing optimization models for D-STATCOM siting and sizing can be computationally complex.

Purpose of the Study:

  • To develop an efficient method for optimal siting and sizing of D-STATCOMs.
  • To minimize total annual operating costs, including investment and energy loss costs.
  • To provide a robust formulation applicable to diverse distribution network topologies.

Main Methods:

  • Formulation of a mixed-integer nonlinear programming (MINLP) model for D-STATCOM optimization.
  • Development of a mixed-integer convex reformulation for enhanced computational efficiency.
  • Power flow analysis using incidence matrix representation to model network behavior.
  • Validation using MATLAB with CVX and Gurobi solver for the convex model and GAMS for the MINLP model.

Main Results:

  • The proposed mixed-integer convex model efficiently determines optimal D-STATCOM placement and sizing.
  • The formulation accurately minimizes expected total annual operating costs.
  • The model demonstrates applicability to both radial and meshed distribution grid configurations.
  • Comparative analysis confirms the robustness of the convex formulation against metaheuristic and approximation methods.

Conclusions:

  • The developed mixed-integer convex reformulation offers an efficient and robust solution for D-STATCOM optimal siting and sizing.
  • This approach effectively reduces annual operating costs in electrical distribution networks.
  • The method's versatility across different grid configurations enhances its practical applicability in power system operations.