Uncertainty Modeling of Distributed Energy Resources: Techniques and Challenges

  • Ying Zhang
  • Jianhui WangEmail author
  • Zhengshuo Li
Energy Markets (R Sioshansi and A Mousavian, Section Editors)
Part of the following topical collections:
  1. Topical Collection on Energy Markets


Purpose of Review

Integration of distributed energy resources (DERs) brings huge challenges to distribution systems. Among many control room applications, distribution system state estimation (DSSE) is regarded as a key tool to establish the relationship between state variables and abundant measurements for system monitoring and analysis. The emergence of DERs poses multiple uncertainties, resulting in stringent requirements for system modeling and operation practices. This paper summarizes the state-of-the-art approaches, techniques, and challenges in the uncertainty modeling of DERs in practical power system and electricity market operations.

Recent Findings

DSSE has become increasingly important to realize appropriate monitoring and control for active distribution systems. The current research focuses on more precise and robust uncertainty modeling of multiple DERs in DSSE and the application of big data analytics. Probabilistic methods also emerge as a major research direction for these studies.


Accurate and effective modeling of DER uncertainty calls for holistic improvement. Moreover, machine learning and data-driven techniques exhibit great potential in such applications. Future work is expected to accurately capture the stochasticity and variability of DER outputs in the operational and market models, and thus lead to great economic benefits.


Distributed energy resources Distribution system state estimation Electricity market Uncertainty modeling Distributed generation Machine learning 


Compliance with Ethical Standards

Conflict of Interest

The authors declare that they have no conflicts of interest.

Human and Animal Rights and Informed Consent

This article does not contain any studies with human or animal subjects performed by any of the authors.


Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance

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Authors and Affiliations

  1. 1.Department of Electrical and Computer EngineeringSouthern Methodist UniversityDallasUSA

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