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Management of renewable-based multi-energy microgrids in the presence of electric vehicles

Shafie-khah, Miadreza; Vahid-Ghavidel, Morteza; Di Somma, Marialaura; Graditi, Giorgio; Siano, Pierluigi; Catalão, João P. S. (2020)

 
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URI
https://doi.org/10.1049/iet-rpg.2019.0124

Shafie-khah, Miadreza
Vahid-Ghavidel, Morteza
Di Somma, Marialaura
Graditi, Giorgio
Siano, Pierluigi
Catalão, João P. S.
IET
2020
doi:10.1049/iet-rpg.2019.0124
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe202102235781

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vertaisarvioitu
©2020 IET. This paper is a postprint of a paper submitted to and accepted for publication in IET Renewable Power Generation and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at the IET Digital Library.
Tiivistelmä
This study proposes a stochastic optimisation programming for scheduling a microgrid (MG) considering multiple energy devices and the uncertain nature of renewable energy resources and parking lot‐based electric vehicles (EVs). Both thermal and electrical features of the multi‐energy system are modelled by considering combined heat and power generation, thermal energy storage, and auxiliary boilers. Also, price‐based and incentive‐based demand response (DR) programs are modelled in the proposed multi‐energy MG to manage a commercial complex including hospital, supermarket, strip mall, hotel and offices. Moreover, a linearised AC power flow is utilised to model the distribution system, including EVs. The feasibility of the proposed model is studied on a system based on real data of a commercial complex, and the integration of DR and EVs with multiple energy devices in an MG is investigated. The numerical studies show the high impact of EVs on the operation of the multi‐energy MGs.
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