Sensitivity Analysis of Day-Ahead Energy Management Strategies under Variant Resolution Mission Profiles

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

Energy management strategies directly influence the performance (e.g., cost) of residential PV systems. In state-of-the-art, most forecast-based energy management strategies adopt hour resolution to make decisions, which may have poor robustness and flexibility to fast-changing weather conditions. This paper compares the sensitivity of three typical operation strategies including maximum self-consumption, mixed integer linear programming, and particle swarm optimization under different kinds of resolutions and weather. The results show that the maximum self-consumption strategy has the best robustness and can utilize the battery most at the expense of total cost. In terms of cost, the mixed integer linear programming strategy performs best on the sunny day, and has the best scheduled result on the partly-cloudy day, but the particle swarm optimization strategy performs best in the real case.
Original languageEnglish
Title of host publication2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)
Number of pages6
PublisherIEEE
Publication date16 Jun 2023
Pages1-6
Article number10227378
ISBN (Print)979-8-3503-0005-5
ISBN (Electronic)9798350300048
DOIs
Publication statusPublished - 16 Jun 2023
Event2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) - Tallinn, Estonia, Tallinn, Estonia
Duration: 14 Jun 202316 Jun 2023

Conference

Conference2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)
LocationTallinn, Estonia
Country/TerritoryEstonia
CityTallinn
Period14/06/202316/06/2023
SeriesInternational Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG). Proceedings.
ISSN2166-9538

Keywords

  • Batteries
  • Costs
  • Energy resolution
  • Fluctuations
  • Robustness
  • Sensitivity analysis
  • Weather forecasting
  • PV
  • data resolution
  • energy management

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