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Optimal integration of D-STATCOMs in grid-tied microgrid consisting of renewable DGs and EV charging stations using improved snow ablation optimizer

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  • Sahoo, Lohit Kumar
  • Mishra, Sivkumar
  • Dash, Subrat Kumar

Abstract

In this paper, the optimal integration of D-STATCOMs in a grid-tied microgrid (GTMG) is performed considering an improved snow ablation optimizer (i-SAO). The indices of average real power loss reduction, average minimum system voltage improvement, average maximum voltage stability enhancement and average expected energy not served (AEENS) reduction are combined through an improved analytic hierarchy process (i-AHP) for constituting the multi objective function. The feasibility of i-SAO is established through rigorous statistical analysis, including box plot analysis, Wilcoxon signed rank tests, and convergence characteristics analysis through CEC 2020 benchmark functions. The analysis reveals the superlative performance of i-SAO against seven other competitive algorithms in solving separate and simultaneous optimal allocation of D-STATCOMs and DGs to minimize real power loss of a standard 69 bus distribution system. The proposed methodology is then applied to a 69 bus GTMG. The results for different scenarios show appreciable attainment of considered indices in presence of optimally allocated D-STATCOMs. The analysis reveals the optimal allocation of D-STATCOMs resulted in a more secure, reliable, efficient and economic operation of a GTMG over a planning period of 5, 10 and 15 years.

Suggested Citation

  • Sahoo, Lohit Kumar & Mishra, Sivkumar & Dash, Subrat Kumar, 2025. "Optimal integration of D-STATCOMs in grid-tied microgrid consisting of renewable DGs and EV charging stations using improved snow ablation optimizer," Applied Energy, Elsevier, vol. 381(C).
    • Handle: RePEc:eee:appene:v:381:y:2025:i:c:s0306261924025273
    DOI: 10.1016/j.apenergy.2024.125143
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