Local energy trading in a community micro-grid
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...
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| 主要作者: | |
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| 格式: | Final Year Project |
| 語言: | English |
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Nanyang Technological University
2020
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/139908 |
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| 總結: | 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. |
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