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Optimal power generation in microgrids using agent-based technology - Daryoush Habibi,Octavian Bass,Thair Shakir Mahmoud

englanti
2014-01-24
71,94 € 110,68 €

-35% koodilla BOOKS

Toimittajalla varastossa

Toimitus 12-18 arkipäivässä

30 päivän palautusoikeus

This book highlights the role of Multi-Agent System technology in building Energy Management Systems (EMS) for microgrids. The book chapters highlight the importance of forecasting, generation scheduling, market participation and Human Machine Interface (HMI) in providing real-time optimum power generation decisions for microgrids. Initially, in-depth engineering-based economic and environmental cost analys ... Täydellinen kuvaus

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Kuvaus

This book highlights the role of Multi-Agent System technology in building Energy Management Systems (EMS) for microgrids. The book chapters highlight the importance of forecasting, generation scheduling, market participation and Human Machine Interface (HMI) in providing real-time optimum power generation decisions for microgrids. Initially, in-depth engineering-based economic and environmental cost analyses are reported in this book to address the methods of reducing generation cost in microgrids. Thereafter, the book elaborates the utilisation of agent-based modelling and artificial intelligence in simulating a microgrid managing its resources by utilising distributed computation modules. The methods used in the EMS relating forecasting, generation scheduling and market participation are finally tested in this book based on realistic weather and electricity demand data. Ultimately, gas gen-sets, wind turbines, solar PVs, storage devices and utility gird were modelled to supply highly non-linear generation profile for the simulation studies in this book.

Lisätietoja

Kirjoittaja Daryoush Habibi, Octavian Bass, Thair Shakir Mahmoud
Julkaisija LAP LAMBERT Academic Publishing
Julkaisuvuosi 2014
Kannen tyyppi Pehmeäkantinen
EAN 9783659509889
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Arvostelet: Optimal power generation in microgrids using agent-based technology
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71,94 € 110,68 €