Projects per year
Abstract
This paper presents a novel extension of the classic nonintrusive load monitoring (NILM) problem from household-appliance level to substation level. A new three-stage regional-NILM method is proposed to deduce the states of different types of loads in a region by disaggregating its substation demand. Three types of loads are considered in this study: (i) traditional loads; (ii) distributed generation such as photovoltaics (PVs); and (iii) flexible loads like electric vehicles (EVs). The proposed method firstly forecasts the traditional load using the long-term historical data and employing spectral analysis to boost the signal-to-noise ratio. Secondly, the PV capacity is deduced by performing peak coincidence analysis between negative residuals and local solar irradiance data. Finally, a novel limited activation matching pursuit method is proposed to estimate the states of the EVs, including the total EV load and number of EVs. The method is assessed on real data collected from 800 substations, 10 PVs and 50 EVs in the UK. Results show the proposed method for estimating the number of EVs outperforms the approaches based on sparse coding, orthogonal matching pursuit and non-negative matching pursuit by 16.5%, 10.2% and 10.0%, respectively. The proposed Regional-NILM solution provides a cost-effective way for distribution network operators to understand the network's state. It can therefore significantly increase the network visibility without requiring expensive monitoring and avoiding data privacy issues. As such, it can improve the efficiency of demand side management, which is required to accommodate the future large number of distributed energy resources connections.
Original language | English |
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Article number | 114225 |
Journal | Applied Energy |
Volume | 260 |
Early online date | 11 Dec 2019 |
DOIs | |
Publication status | Published - 15 Feb 2020 |
Bibliographical note
Publisher Copyright:© 2019 Elsevier Ltd
Keywords
- Electricity distribution networks
- Load disaggregation
- Non-intrusive load monitoring
ASJC Scopus subject areas
- Building and Construction
- General Energy
- Mechanical Engineering
- Management, Monitoring, Policy and Law
Fingerprint
Dive into the research topics of 'Regional nonintrusive load monitoring for low voltage substations and distributed energy resources'. Together they form a unique fingerprint.Projects
- 1 Finished
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Peer-to-Peer Energy Trading and Sharing - 3M (Multi-times, Multi-scales, Multi-qualities)
Li, F. (PI), Jeon, J. (CoI) & Li, R. (CoI)
Engineering and Physical Sciences Research Council
1/09/16 → 29/02/20
Project: Research council
Profiles
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Adrian Evans
- Department of Electronic & Electrical Engineering - Deputy Head of Department
- Electronics Materials, Circuits & Systems Research Unit (EMaCS)
- Centre for Digital, Manufacturing & Design (dMaDe)
Person: Research & Teaching, Core staff
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Furong Li
- Department of Electronic & Electrical Engineering - Professor
- Centre for Doctoral Training in Decarbonisation of the Built Environment (dCarb)
- Centre for Sustainable Energy Systems (SES)
- IAAPS: Propulsion and Mobility
- Institute of Sustainability and Climate Change
Person: Research & Teaching, Core staff, Affiliate staff