Abstract

In order to meet the requirements of high-tech enterprises for high power quality, high-quality operation and maintenance (O&M) in smart distribution networks (SDN) is becoming increasingly important. As a significant element in enhancing the high-quality O&M of SDN, situation awareness (SA) began to excite the significant interest of scholars and managers, especially after the integration of intermittent renewable energy into SDN. Specific to high-quality O&M, the paper decomposes SA into three stages: detection, comprehension, and projection. In this paper, the state-of-the-art knowledge of SND SA is discussed, a review of critical technologies is presented, and a five-layer visualization framework of the SDN SA is constructed. SA detection aims to improve the SDN observability, SA comprehension is associated with the SDN operating status, and SA projection pertains to the analysis of the future SDN situation. The paper can provide researchers and utility engineers with insights into the technical achievements, barriers, and future research directions of SDN SA.

Highlights

  • In the situation projection stage, the future behavior of smart distribution networks (SDN) components based on their operating status and the perceived information is predicted [28]

  • Pk isto the nodal power of thethe kthkey load node in affine form, gof kj is the admittance of the different distributed generations (DGs) and energy storages, coordinated dispatch technology can be adopted to positive line from the kth node to the jth node, Uk is the positive voltage of the kth node build an integrated energy system based on the results of situation comprehension and in affine form, Uj is the positive voltage of the jth node in affine form, and n is the total contribute to high-quality

  • Consolidating the critical technologies of SDN situation awareness (SA), promoting the organic integration of various technologies, and improving them based on the implementation effect of SA will be the future research directions

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Summary

Motivation

Due to the rapid development of emerging information and communication technologies (ICT) and advanced metering infrastructure (AMI), distribution networks are in an evolvement from passive to active distribution networks (ADN), called smart distribution networks (SDN) [1]. With the rapidly increasing penetration of distributed generations (DGs) inspired by the smart grid (SG) concept [2], the SDN integrates multiple renewable energy sources (RES) and focuses on reliable operation [3]. Human cognition of objective things starts with sensation It is the initial detection of complex things and the basis of complex cognitive activities such as perception and behavior. The human situation refers to the comprehensive integration of mental activity, physiological state, and environmental information. The data obtained in the situation detection are integrated, and the connection and potential information between multi-source data are explored. Based on the information gained from situation detection and comprehension, this stage can predict the future environmental situation in time

Related Work
Contributions
Organization
Objectives of Situation Awareness for Smart Distribution Networks
Challenges of Situation Awareness for Smart Distribution Networks
Comprehensive Framework of Situation Awareness
Critical
Virtual Acquisition
Optimal Configuration of Measurement
Critical Technologies of Situation Comprehension
Uncertain
Hybrid State Estimation
Reliability Analysis
Voltage Stability Analysis
Flexibility Evaluation
Power Quality Evaluation
Critical Technologies of Situation Projection
Three-Phase Unbalanced Load Prediction
Renewable Energy Output Prediction Considering Uncertainty
State-of-Energy Estimation
Fault Prediction and Inspection Management
Security Situation Projection
Findings
Conclusions
Full Text
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