Universal Smart Grid Agent for Distributed Power Generation Management
``Somewhere, there is always wind blowing or the sun shining.'' This maxim could lead the global shift from fossil to renewable energy sources, suggesting that there is enough energy available to be turned into electricity. But the already impressive numbers that are available today, along with the...
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| Format: | Online |
| Język: | angielski |
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Logos Verlag Berlin
2021
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| Hasła przedmiotowe: | |
| Dostęp online: | ONIX_20211220_9783832545123_2 |
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| _version_ | 1869526383983591424 |
|---|---|
| author | MSP Veith, Eric |
| author_browse | MSP Veith, Eric |
| author_facet | MSP Veith, Eric |
| author_sort | MSP Veith, Eric |
| collection | Directory of Open Access Books |
| description | ``Somewhere, there is always wind blowing or the sun shining.'' This maxim could lead the global shift from fossil to renewable energy sources, suggesting that there is enough energy available to be turned into electricity. But the already impressive numbers that are available today, along with the European Union's 20-20-20 goal---to power 20% of the EU energy consumption from renewables until 2020---, might mislead us over the problem that the go-to renewables readily available rely on a primary energy source mankind cannot control: the weather. At the same time, the notion of the smart grid introduces a vast array of new data coming from sensors in the power grid, at wind farms, power plants, transformers, and consumers. The new wealth of information might seem overwhelming, but can help to manage the different actors in the power grid. This book proposes to view the problem of power generation and distribution in the face of increased volatility as a problem of information distribution and processing. It enhances the power grid by turning its nodes into agents that forecast their local power balance from historical data, using artificial neural networks and the multi-part evolutionary training algorithm described in this book. They pro-actively communicate power demand and supply, adhering to a set of behavioral rules this book defines, and finally solve the 0-1 knapsack problem of choosing offers in such a way that not only solves the disequilibrium, but also minimizes line loss, by elegant modeling in the Boolean domain. The book shows that the Divide-et-Impera approach of a distributed grid control can lead to an efficient, reliable integration of volatile renewable energy sources into the power grid. |
| format | Online |
| id | doab-20.500.12854ir-75065 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Logos Verlag Berlin |
| publisherStr | Logos Verlag Berlin |
| record_format | ojs |
| spelling | doab-20.500.12854ir-750652024-04-14T10:28:01Z Universal Smart Grid Agent for Distributed Power Generation Management MSP Veith, Eric Smart Grid Power Grid Management Artificial Intelligence Boolean Algebra thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTR Distributed systems ``Somewhere, there is always wind blowing or the sun shining.'' This maxim could lead the global shift from fossil to renewable energy sources, suggesting that there is enough energy available to be turned into electricity. But the already impressive numbers that are available today, along with the European Union's 20-20-20 goal---to power 20% of the EU energy consumption from renewables until 2020---, might mislead us over the problem that the go-to renewables readily available rely on a primary energy source mankind cannot control: the weather. At the same time, the notion of the smart grid introduces a vast array of new data coming from sensors in the power grid, at wind farms, power plants, transformers, and consumers. The new wealth of information might seem overwhelming, but can help to manage the different actors in the power grid. This book proposes to view the problem of power generation and distribution in the face of increased volatility as a problem of information distribution and processing. It enhances the power grid by turning its nodes into agents that forecast their local power balance from historical data, using artificial neural networks and the multi-part evolutionary training algorithm described in this book. They pro-actively communicate power demand and supply, adhering to a set of behavioral rules this book defines, and finally solve the 0-1 knapsack problem of choosing offers in such a way that not only solves the disequilibrium, but also minimizes line loss, by elegant modeling in the Boolean domain. The book shows that the Divide-et-Impera approach of a distributed grid control can lead to an efficient, reliable integration of volatile renewable energy sources into the power grid. 2021-12-20T15:23:04Z 2021-12-20T15:23:04Z 2017 book ONIX_20211220_9783832545123_2 9783832545123 https://directory.doabooks.org/handle/20.500.12854/75065 eng image/jpeg Attribution-NonCommercial-ShareAlike 4.0 International https://www.logos-verlag.de/cgi-bin/engbuchmid?isbn=4512&lng=eng&id= https://www.logos-verlag.de/ebooks/OA/978-3-8325-4512-3.pdf Logos Verlag Berlin Logos Verlag Berlin 10.30819/4512 10.30819/4512 04b263a1-7fba-4491-9eae-1c394ac42fc3 9783832545123 Logos Verlag Berlin 266 Berlin open access |
| spellingShingle | Smart Grid Power Grid Management Artificial Intelligence Boolean Algebra thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTR Distributed systems MSP Veith, Eric Universal Smart Grid Agent for Distributed Power Generation Management |
| title | Universal Smart Grid Agent for Distributed Power Generation Management |
| title_full | Universal Smart Grid Agent for Distributed Power Generation Management |
| title_fullStr | Universal Smart Grid Agent for Distributed Power Generation Management |
| title_full_unstemmed | Universal Smart Grid Agent for Distributed Power Generation Management |
| title_short | Universal Smart Grid Agent for Distributed Power Generation Management |
| title_sort | universal smart grid agent for distributed power generation management |
| topic | Smart Grid Power Grid Management Artificial Intelligence Boolean Algebra thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTR Distributed systems |
| topic_facet | Smart Grid Power Grid Management Artificial Intelligence Boolean Algebra thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTR Distributed systems |
| url | ONIX_20211220_9783832545123_2 |
| work_keys_str_mv | AT mspveitheric universalsmartgridagentfordistributedpowergenerationmanagement |