NDLI: Descriptive statistical approach for the assessment of the output of a virtual power plant in a secondary distribution network

Content Provider	IET Digital Library
Author	Palanichamy, Ponraj Samuel, Arul Daniel Murali, Venkatakirthiga
Abstract	Virtual power plants (VPPs) of secondary distribution network have come into existence due to the installation of generators in the premises of domestic consumers and the recent legislative emphasis on net-zero energy operation. A predetermined operation of VPP as required by a system operator is possible only when its power output is assessed beforehand. A simple approach for assessment based on load profiling using descriptive statistical parameters such as z-scores of the load data is proposed in this study. The proposed method collates historical customer data according to seasons, days of the week and specified time-intervals of the day. Then, z-scores are computed for each of the historical load and generator data. The calculated z-scores are subsequently grouped into specified clusters. The grouped data in each of the clusters are then employed to predict the VPP output. Demonstration of the assessment of VPP output using available Pecan street data is presented to validate the proposed approach.
Starting Page	2191
Ending Page	2200
Page Count	10
ISSN	17518687
Volume Number	14
e-ISSN	17518695
Issue Number	Issue 11, Jun (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/14/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2019.1658
Journal	IET Generation, Transmission & Distribution
Publisher Date	2020-02-26
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Available Pecan Street Data Descriptive Statistical Approach Descriptive Statistical Parameter Distributed Power Generation Distribution Network Domestic Consumers Generator Data Grouped Data Historical Customer Data Historical Load Load Data Load Forecasting Load Profiling Net-zero Energy Operation Neural Nets Pattern Clustering Power Engineering Computing Power Output Power Plant Power System Economics Power System Managemen Power System Operation Power System Planning And Layout Recent Legislative Emphasis Secondary Distribution Network Smart Power Grid Specified Time-intervals Statistical Analysis Statistics System Operator Virtual Power Plant VPP Output
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology 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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