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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/23299
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dc.contributor.authorLi, P-
dc.contributor.authorZhang, F-
dc.contributor.authorMa, X-
dc.contributor.authorYao, S-
dc.contributor.authorZhong, Z-
dc.contributor.authorYang, P-
dc.contributor.authorZhao, Z-
dc.contributor.authorLai, CS-
dc.contributor.authorLai, LL-
dc.date.accessioned2021-09-29T16:48:13Z-
dc.date.available2021-09-29T16:48:13Z-
dc.date.issued2021-09-17-
dc.identifier.citationLi P, Zhang F, Ma X, Yao S, Zhong Z, Yang P, Zhao Z, Lai CS and Lai LL (2021) Multi-Time Scale Economic Optimization Dispatch of the Park Integrated Energy System. Front. Energy Res. 9:743619. doi: 10.3389/fenrg.2021.743619en_US
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/23299-
dc.description.abstractCopyright © 2021 Li, Zhang, Ma, Yao, Zhong, Yang, Zhao, Lai and Lai. The park integrated energy system (PIES) plays an important role in realizing sustainable energy development and carbon neutral. Furthermore, its optimization dispatch can improve the energy utilization efficiency and reduce energy systems operation cost. However, the randomness and volatility of renewable energy and the instability of load all bring challenges to its optimal operation. An optimal dispatch framework of PIES is proposed, which constructs the operation models under three different time scales, including day-ahead, intra-day and real-time. Demand response is also divided into three levels considering its response characteristics and cost composition under different time scales. The example analysis shows that the multi-time scale optimization dispatch model can not only meet the supply and demand balance of PIES, diminish the fluctuation of renewable energy and flatten load curves, but also reduce the operation cost and improve the reliability of energy systems.en_US
dc.description.sponsorshipResearch Project of Digital Grid Research Institute, China Southern Power Grid under Grant YTYZW20010.-
dc.format.extent1 - 12-
dc.format.mediumElectronic-
dc.language.isoenen_US
dc.publisherFrontiers Media SAen_US
dc.rightsCopyright © 2021 Li, Zhang, Ma, Yao, Zhong, Yang, Zhao, Lai and Lai. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectintegrated energy systemen_US
dc.subjectmulti-time scaleen_US
dc.subjectoptimization dispatchen_US
dc.subjectrenewable energyen_US
dc.subjectdemand responseen_US
dc.titleMulti-Time Scale Economic Optimization Dispatch of the Park Integrated Energy Systemen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.3389/fenrg.2021.743619-
dc.relation.isPartOfFrontiers in Energy Research-
pubs.publication-statusPublished online-
pubs.volume9-
dc.identifier.eissn2296-598X-
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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