Technoeconomic Assessment Based on Active Context-Knowledge Orchestration for Power Internet of Things

Yuanshuo Zheng,Jingtang Luo,Jiuling Dong,Shujuan Sun,Xiaolong Yang,Yudong Wang,Chenyang Li,Xin Liu

doi:10.1155/2021/5499653

Abstract

Power Internet of Things (abbreviated as PIoT) is the information infrastructure to provide ubiquitous perception ability for smart grid (abbreviated as SG). To better deploy and utilize PIoT, its perception ability must be comprehensively assessed in terms of technical performance and economic benefits. However, at present, there is no assessment framework for PIoT due to the high diversity and heterogeneousness of SG scenarios. Additionally, there is information overlap between metrics in the assessment framework. The assessment model which could remove redundant information between metrics and simplify the assessment framework is an urgent demand to improve the effectiveness and timeliness of assessment. Consequently, first, aiming at the power system requirements of complex and diverse, a general assessment framework is put forward to assess the ability of PIoT in terms of technology and economy. Next, the requirement characteristics of power distribution scenario (abbreviated as PDS) are precisely analyzed with active context-knowledge orchestration technology. The general assessment framework is instantiated to build an instantiation assessment scheme in PDS. Moreover, an assessment model is established based on the instantiation assessment scheme to assess the efficiency of PIoT in Beijing. Finally, the assessment model is further refined with the machine learning technology to improve the efficiency of assessment. This refinement model achieves the extraction of 4-dimensional metrics from 23-dimensional metrics for assessment and finally improves assessment efficiency by 82.6%.

Highlights

As being a hub of the energy system, smart grid has the important mission that it unblocks the energy industry chain and promotes the achievement of carbon peaks and carbon neutrality goals [1]
(3) e assessment model based on Principal component analysis (PCA) and Analytic hierarchy process (AHP) is designed to assess the efficiency of PIoT
(4) A refinement model based on machine learning technology is proposed to reduce redundant information between metrics to achieve dimensionality reduction of the instantiation assessment scheme

Summary

Introduction

As being a hub of the energy system, smart grid (abbreviated as SG) has the important mission that it unblocks the energy industry chain and promotes the achievement of carbon peaks and carbon neutrality goals [1]. The technical route is adopted in this paper: first, building a general assessment framework; reshaping the instantiation assessment scheme in certain scenarios; establishing an assessment model; achieving the comprehensive assessment and refinement analysis of PIoT. (1) To comprehensively assess the efficiency of PIoT in terms of ubiquitous perception, security protection, etc., the general assessment framework of PIoT is built (2) e core requirements of the power distribution scenario (abbreviated as PDS) are explored by using Active Context-Knowledge Orchestration Technology (abbreviated as ACKOT), and an instantiation assessment scheme with the requirement characteristics of the PDS is built (3) e assessment model based on PCA and AHP is designed to assess the efficiency of PIoT (4) A refinement model based on machine learning technology (abbreviated as MLT) is proposed to reduce redundant information between metrics to achieve dimensionality reduction of the instantiation assessment scheme

Building an Assessment Framework

Using ACKOT to Design PIoT Assessment Scheme under PDS

F2 F3 F4 F5 F6 F7 F8 F9 F10

Findings

Conclusions