https://www.mdu.se/

mdu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
An improved min-max power dispatching method for integration of variable renewable energy
Shandong Univ, Inst Thermal Sci & Technol, Jinan, Peoples R China.
Shandong Univ, Sch Control Sci & Engn, Jinan, Peoples R China.
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. Shandong Univ, Inst Adv Sci & Technol, Jinan, Peoples R China.ORCID iD: 0000-0002-6279-4446
Shandong Univ, Inst Thermal Sci & Technol, Jinan, Peoples R China; Shandong Univ, Inst Adv Sci & Technol, Jinan, Peoples R China.
Show others and affiliations
2020 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 276, article id 115430Article in journal (Refereed) Published
Abstract [en]

High uncertainty and large fluctuation of variable renewable energy create enormous challenges to planning and operation of integrated energy systems. To overcome these problems, this paper proposed an improved min-max dispatching method. In the meantime, a control algorithm for short-term power dispatching was proposed and implemented to smoothen the power dispatching between two neighboring dispatching intervals. The improved min-max dispatching method was applied to a 1 kW experimental PV system with real-time data. The optimal capacity of the battery energy storage system obtained by the improved min-max method is 40% smaller than the volume obtained by the modified min-max method. Regarding the operation of the BESS, the average depth of discharge is 0.5988, which is 7.06% higher than the operation performance with the alternative dispatching method. The results clearly indicate that improved min-max dispatching method is a very effective approach for managing grid-connected integrated energy systems and promoting penetration of variable renewable energies. 

Place, publisher, year, edition, pages
Oxford: Elsevier Ltd , 2020. Vol. 276, article id 115430
Keywords [en]
Battery, Energy storage, Min-max dispatching method, Power dispatching, Variable renewable energy, Battery management systems, Digital storage, Battery energy storage systems, Depth of discharges, Dispatching methods, Effective approaches, Integrated energy systems, Operation performance, Variable renewable energies, Electric load dispatching, algorithm, alternative energy, energy planning, experimental study, implementation process, methodology, power generation
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-49486DOI: 10.1016/j.apenergy.2020.115430ISI: 000571448900001Scopus ID: 2-s2.0-85087816726OAI: oai:DiVA.org:mdh-49486DiVA, id: diva2:1456749
Available from: 2020-08-06 Created: 2020-08-06 Last updated: 2020-10-08Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Li, Hailong

Search in DiVA

By author/editor
Li, Hailong
By organisation
Future Energy Center
In the same journal
Applied Energy
Energy Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 73 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf