http://www.colloquiam.com/wd/index.php?action=history&feed=atom&title=Vale_et_al_2016aVale et al 2016a - Revision history2026-05-11T07:09:27ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10http://www.colloquiam.com/wd/index.php?title=Vale_et_al_2016a&diff=203089&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 633887291 to Vale et al 2016a2021-02-02T07:01:50Z<p>Scipediacontent moved page <a href="/public/Draft_Content_633887291" class="mw-redirect" title="Draft Content 633887291">Draft Content 633887291</a> to <a href="/public/Vale_et_al_2016a" title="Vale et al 2016a">Vale et al 2016a</a></p>
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</td></tr></table>Scipediacontenthttp://www.colloquiam.com/wd/index.php?title=Vale_et_al_2016a&diff=203088&oldid=prevScipediacontent: Created page with " == Abstract == This paper presents a multi-objective energy scheduling for the daily operation of a Smart Grid (SG) considering maximization of the minimum available reserve..."2021-02-02T07:01:44Z<p>Created page with " == Abstract == This paper presents a multi-objective energy scheduling for the daily operation of a Smart Grid (SG) considering maximization of the minimum available reserve..."</p>
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== Abstract ==<br />
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This paper presents a multi-objective energy scheduling for the daily operation of a Smart Grid (SG) considering maximization of the minimum available reserve in addition to the cost minimization, to take into account the reliability requirements of critical and vulnerable loads. A Virtual Power Player (VPP) manages the day-ahead energy resource scheduling in the smart grid, considering Distributed Generation (DG) and Vehicle-To-Grid (V2G), while maintaining a highly reliable power for the critical loads. This work considers high penetration of critical loads, e.g. industrial processes that require high power quality, high reliability and few interruptions. A mathematical formulation is described and a deterministic technique based on Mixed-Integer Linear Programming (MILP) is used to solve the multi-objective problem. The effect of some customers with DR in this context is analyzed to assess the benefits in the energy scheduling problem. A case study using a 180-bus Portuguese distribution network with 90 load points, several DG units and a large fleet of Electric Vehicles (EVs) with V2G is used to illustrate the performance of the proposed method. info:eu-repo/semantics/publishedVersion<br />
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== Original document ==<br />
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The different versions of the original document can be found in:<br />
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* [http://hdl.handle.net/10400.22/10008 http://hdl.handle.net/10400.22/10008]<br />
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* [https://recipp.ipp.pt/bitstream/10400.22/10008/1/ART_ZitaVale_GECAD_2016.pdf https://recipp.ipp.pt/bitstream/10400.22/10008/1/ART_ZitaVale_GECAD_2016.pdf]<br />
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* [http://ieeexplore.ieee.org/iel7/7593872/7741056/07741853.pdf http://ieeexplore.ieee.org/iel7/7593872/7741056/07741853.pdf],<br />
: [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7741853 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7741853],<br />
: [https://academic.microsoft.com/#/detail/2550523278 https://academic.microsoft.com/#/detail/2550523278]<br />
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* [http://xplorestaging.ieee.org/ielx7/7593872/7741056/07741853.pdf?arnumber=7741853 http://xplorestaging.ieee.org/ielx7/7593872/7741056/07741853.pdf?arnumber=7741853],<br />
: [http://dx.doi.org/10.1109/pesgm.2016.7741853 http://dx.doi.org/10.1109/pesgm.2016.7741853]</div>Scipediacontent