Abstract

The investigation of real-time dynamic behavior evaluation in the active distribution networks (ADNs) is a challenging task, and it has great importance due to the emerging trend of distributed generations, electric vehicles, and flexible loads integration. The advent of new elements influences the dynamic behavior of the electric distribution networks and increases the assessment complexity. However, the proper implementation of low-cost phasor measurement units (PMUs) together with the development of power system applications offer tremendous benefits. Therefore, this paper proposes a PMU-based multi-dimensional dynamic index approach for real-time dynamic behavior evaluation of ADNs. The proposed evaluation model follows the assessment principles of accuracy, integrity, practicability, and adaptability. Additionally, we introduced low-cost PMUs in the assessment model and implemented them for real-time and high-precision monitoring of dynamic behaviors in the entire distribution network. Finally, a complete model called the real-time dynamic characteristics evaluation system is presented and applied to the ADN. It is pertinent to mention that our proposed evaluation methodology does not rely on the network topology or line parameters of the distribution network since only the phasor measurements of node voltage and line current are involved in the dynamic index system. Thus, the presented methodology is well adaptive to different operation states of ADN despite frequent topology changes. The validation of the proposed approach was verified by conducting simulations on the modified IEEE 123-node distribution network. The obtained results verify the effectiveness and relevance of the proposed model for the real-time dynamic behavior evaluation of ADNs.

Highlights

  • The real-time dynamic behavior assessment of active distribution networks (ADNs) is one of the important aspects and is to be considered due to the modern advancements in electric power systems

  • Considering the challenge of uncertain and dynamic characteristics evaluation of ADN, this paper originates a low-cost phasor measurement units (PMUs)-based evaluation model to accurately perform the assessment of real-time dynamic behavior

  • The main novelties and contributions of this paper are listed as follows: (1) As per our knowledge and the available literature, the present study reports for the first time the application of low-cost PMUs in the real-time dynamic behavior evaluation of ADNs

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Summary

Introduction

The real-time dynamic behavior assessment of active distribution networks (ADNs) is one of the important aspects and is to be considered due to the modern advancements in electric power systems. As reported in the reference [1,2,3], compared with the traditional distribution network, the behavior of the modern ADNs is highly uncertain due to the growing penetration of distributed generations (DGs), electric vehicles (EVs), and flexible loads In such a situation, the dynamic process and evaluation become more complicated due to the varying operating conditions [4,5,6]. Considering the challenge of uncertain and dynamic characteristics evaluation of ADN, this paper originates a low-cost PMUs-based evaluation model to accurately perform the assessment of real-time dynamic behavior. (1) As per our knowledge and the available literature, the present study reports for the first time the application of low-cost PMUs in the real-time dynamic behavior evaluation of ADNs. We present a novel approach to obtain the voltage amplitude based on the full-wave rectifier with no need for expensive ADC and microprocessor chips.

The Non-DFT Method Developed for Low-Cost PMUs
Dynamic Index of Individual Node Voltage
Dynamic Index of Individual Node Voltage Amplitude
NUjN m
Dynamic Index of Individual Node Voltage Phase
Dynamic Index of Individual Branch
Dynamic Comprehensive Index
Real-Time Dynamic Behavior Evaluation Methodology of ADNs
Causes and Severity Evaluation Methods of Adverse Dynamic Behaviors
Findings
Online Dynamic Characteristics Evaluation on Moving Time Window
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