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- Publisher Website: 10.1016/j.jclepro.2018.08.301
- Scopus: eid_2-s2.0-85053455715
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Article: A systematic review of supply and demand side optimal load scheduling in a smart grid environment
Title | A systematic review of supply and demand side optimal load scheduling in a smart grid environment |
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Authors | |
Keywords | Demand response Joint optimization Optimal load scheduling Unit commitment |
Issue Date | 2018 |
Citation | Journal of Cleaner Production, 2018, v. 203, p. 757-768 How to Cite? |
Abstract | Optimal load scheduling is an important optimization problem in the power system, which can bring significant economic benefits for all the market participants and environmental benefits for the society. As two main links of power system, supply side and demand side play important roles for the operation management of electricity market. In this regard, we present a systematic review of the optimal load scheduling models and methods from power supply and demand side. First, the optimal load scheduling of supply side is discussed from two aspects, i.e., unit commitment and optimal load dispatch of microgrid. Then, we focus on the optimal load scheduling of demand side under the environment of price-based and incentive-based demand response (DR). In addition, the joint optimal load scheduling of supply and demand side is further discussed. Also, the methods for solving the optimal load scheduling models are summarized, including conventional mathematical optimization, heuristic optimization and data-driven optimization methods. |
Persistent Identifier | http://hdl.handle.net/10722/333693 |
ISSN | 2023 Impact Factor: 9.7 2023 SCImago Journal Rankings: 2.058 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Lu, Xinhui | - |
dc.contributor.author | Zhou, Kaile | - |
dc.contributor.author | Zhang, Xiaoling | - |
dc.contributor.author | Yang, Shanlin | - |
dc.date.accessioned | 2023-10-06T05:21:39Z | - |
dc.date.available | 2023-10-06T05:21:39Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Journal of Cleaner Production, 2018, v. 203, p. 757-768 | - |
dc.identifier.issn | 0959-6526 | - |
dc.identifier.uri | http://hdl.handle.net/10722/333693 | - |
dc.description.abstract | Optimal load scheduling is an important optimization problem in the power system, which can bring significant economic benefits for all the market participants and environmental benefits for the society. As two main links of power system, supply side and demand side play important roles for the operation management of electricity market. In this regard, we present a systematic review of the optimal load scheduling models and methods from power supply and demand side. First, the optimal load scheduling of supply side is discussed from two aspects, i.e., unit commitment and optimal load dispatch of microgrid. Then, we focus on the optimal load scheduling of demand side under the environment of price-based and incentive-based demand response (DR). In addition, the joint optimal load scheduling of supply and demand side is further discussed. Also, the methods for solving the optimal load scheduling models are summarized, including conventional mathematical optimization, heuristic optimization and data-driven optimization methods. | - |
dc.language | eng | - |
dc.relation.ispartof | Journal of Cleaner Production | - |
dc.subject | Demand response | - |
dc.subject | Joint optimization | - |
dc.subject | Optimal load scheduling | - |
dc.subject | Unit commitment | - |
dc.title | A systematic review of supply and demand side optimal load scheduling in a smart grid environment | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.jclepro.2018.08.301 | - |
dc.identifier.scopus | eid_2-s2.0-85053455715 | - |
dc.identifier.volume | 203 | - |
dc.identifier.spage | 757 | - |
dc.identifier.epage | 768 | - |
dc.identifier.isi | WOS:000447568700059 | - |