Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/139908
Title: Local energy trading in a community micro-grid
Authors: Chan, Adriel Chun Whye
Keywords: Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution
Issue Date: 2020
Publisher: Nanyang Technological University
Project: A1073-191
Abstract: In this report, we focus on recreating an incremental welfare consensus algorithm to calculate the optimal price of electricity for users in a grid with multiple consumers and producers. The algorithm functions in place of a central coordinator that is normally required and used to price electricity. Two algorithms were recreated; one to obtain data using a method requiring the use of a central coordinator to calculate the optimal price of electricity, and one implementing the IWC algorithm to calculate the optimal price of electricity without a central coordinator i.e. the consumers/producers coordinate among themselves to find the optimal price. The main points of data gathered were each consumer/producer unit’s power demand or generation, and the optimal price of electricity. Data analysis was done using pandas, and output via .csv file for plotting in Microsoft Excel.
URI: https://hdl.handle.net/10356/139908
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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