4.6 Article

Overview of Loss Sensitivity Analysis in Modern Distribution Systems

Journal

IEEE ACCESS
Volume 10, Issue -, Pages 16037-16051

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2022.3149481

Keywords

Manganese; Reactive power; Planning; Voltage; Sensitivity analysis; Minimization; Economics; Modern distribution systems; power loss minimization; DER integration; EV management; sensitivity analysis

Funding

  1. U.S. National Science Foundation [1855216]
  2. Div Of Electrical, Commun & Cyber Sys
  3. Directorate For Engineering [1855216] Funding Source: National Science Foundation

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This paper provides a comprehensive overview of the state of the art in loss sensitivity analysis (LSA) for modern distribution systems (MDSs). It summarizes the theoretical formulations of existing LSA methods, highlights the applications of LSA in distribution systems, and discusses open research gaps and future research directions.
Distribution system planning and operation has seen many structural changes due to the increased participation of consumers in the energy market and the adaptation of new technologies such as distributed energy resources (DERs), electric vehicles (EV) and local energy storage systems (ESSs). Despite the convenience of such technologies and the gradual drop in their prices, new technical challenges (e.g., excessive power losses) have emerged at the system level. Over the past few decades, power loss minimization in distribution systems has gained popularity and the need for loss sensitivity analysis (LSA) frameworks has become a necessity for its successful implementation. Existing work on LSA mostly focuses on system planning aspects through DER optimal placement and sizing. However, enabling LSA-based system operational applications is a vital step toward the successful transition to modern distribution systems (MDSs). Therefore, this paper presents a comprehensive overview on the state of the art in LSA for MDSs. First, the theoretical formulations of existing LSA methods are summarized. Then, the applications of LSA in distribution systems are highlighted. Finally, based on the analysis of literature, open research gaps and future research pathways are discussed.

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