A Survey on State Estimation Techniques and Challenges in Smart Distribution Systems

Abstract

This paper presents a review of the literature on State Estimation (SE) in power systems. While covering some works related to SE in transmission systems, the main focus of this paper is Distribution System State Estimation (DSSE). The paper discusses a few critical topics of DSSE, including mathematical problem formulation, application of pseudo-measurements, metering instrument placement, network topology issues, impacts of renewable penetration, and cyber-security. Both conventional and modern data-driven and probabilistic techniques have been reviewed. This paper can provide researchers and utility engineers with insights into the technical achievements, barriers, and future research directions of DSSE.

References in corpus (2)

• Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges
• Vulnerability Analysis and Consequences of False Data Injection Attack on Power System State Estimation

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• Voltage Estimation in Low-Voltage Distribution Grids with Distributed Energy Resources
• A Multi-Timescale Data-Driven Approach to Enhance Distribution System Observability
• A Data-Driven Framework for Assessing Cold Load Pick-up Demand in Service Restoration
• Parameterized Linear Power Flow for High Fidelity Voltage Solutions in Distribution Systems
• Measurement placement in electric power transmission and distribution grids: Review of concepts, methods, and research needs
• Strategic Scheduling of Discrete Control Devices in Active Distribution Systems
• Gradient-Based Multi-Area Distribution System State Estimation
• Data-driven Models to Anticipate Critical Voltage Events in Power Systems
• Matrix Completion for Low-Observability Voltage Estimation
• Cyber-Physical Microgrids: Toward Future Resilient Communities
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• Robust Matrix Completion State Estimation in Distribution Systems
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• Optimal Power Flow with State Estimation In the Loop for Distribution Networks
• Distribution Grid Modeling Using Smart Meter Data
• A Regression-based Voltage Estimation Method for Distribution Volt-Var Control with Limited Data
• Designing constraint-based false data injection attacks against the unbalanced distribution smart grids
• Mitigating Smart Meter Asynchrony Error Via Multi-Objective Low Rank Matrix Recovery
• Solving Optimal Power Flow for Distribution Networks with State Estimation Feedback
• Heterogeneous Graph Neural Networks for Short-term State Forecasting in Power Systems across Domains and Time Scales: A Hydroelectric Power Plant Case Study
• A Hierarchical Deep Actor-Critic Learning Method for Joint Distribution System State Estimation
• Distributed Robust State Estimation for Hybrid AC/DC Distribution Systems using Multi-Source Data
• Distributed Dynamic State-Input Estimation for Power Networks of Microgrids and Active Distribution Systems with Unknown Inputs
• A General Regularized Distributed Solution for System State Estimation from Relative Measurements
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