NDLI: Multistage energy management system using autoregressive moving average and artificial neural network for day-ahead peak shaving

Content Provider	IET Digital Library
Author	Mahmud, K. Sahoo, A.
Abstract	In this Letter, a multistage energy management system is developed and analysed incorporating the coordination between the tertiary stage and the primary stage. In the tertiary level, a day-ahead peak shaving strategy is developed using the autoregressive moving average and artificial neural network technique. These two techniques are used to predict customer's power demand and photovoltaic power generation, which are fed to a tertiary controller for the day-ahead power demand management. As the peak-power-demand management system is highly dependent on the demand-generation values, any fluctuations and errors in predicted values impact the performance of the peak shaving. The reference power generated from the energy management layer at the tertiary stage is communicated to the local inverter controller at the primary stage. The inverter implements a dq-current controller to track the reference power efficiently.
Starting Page	853
Ending Page	855
Page Count	3
ISSN	00135194
Volume Number	55
e-ISSN	1350911X
Issue Number	Issue 15, Jul (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/55/15
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2019.0890
Journal	Electronics Letters
Publisher Date	2019-06-11
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Artificial Neural Network Technique Autoregressive Moving Average Autoregressive Moving Average Processes Control of Electric Power System Customer Day-ahead Peak Shaving Strategy Day-ahead Power Demand Management Demand Side Management Demand-generation Values Energy Management Layer Energy Management System Invertors Load Forecasting Multistage Energy Management System Neural Computing Technique Neural Nets Peak-power-demand Management System Photovoltaic Power Generation Photovoltaic Power System Power Engineering Computing Power Generation Control Power Grid Power Market Power System Economics Power System Managemen Power System Operation Power System Planning And Layout Primary Stage Reference Power Solar Power Stations Tertiary Controller Tertiary Level Tertiary Stage
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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