A time-scale adaptive dispatching strategy considering the matching of time characteristics and dispatching periods of the integrated energy system

Xiaojing Wang, Li Han, Chong Wang, Hongbo Yu and Xiaojiao Yu

Energy, 2023, vol. 267, issue C

Abstract: With the increasing proportion of renewable energy such as wind power accessing the grid, it is gradually difficult to deal with the renewable energy forecasting error only by conventional unit reserve. Facing the general rule that wind power forecasting error increases with the increase of forecasting step, it is necessary to explore a new strategy for integrated energy system dispatching with wind power integration. Recently, many new forms of energy have entered the field of vision, which provide new ideas for the renewable energy accommodation. However, the introduction of multi-energy with energy storage capacity requires to consider the time-coupling problem brought by their different time characteristics. At this time, it is difficult to take advantage of each system with fixed time-scale dispatching. Given the above problems, this paper proposes a time-scale adaptive adjustment strategy considering the matching of time characteristics and dispatching periods of the integrated energy system. Firstly, the time characteristics of wind power forecasting error and various energy systems in an integrated energy system are analyzed. Secondly, the energy storage equipment that can provide reserve in different time scales is determined according to their different response delay times. Finally, the system dispatching periods are dynamically adjust by comparing whether the system available reserve under the current time-scale is sufficient to compensate the wind power forecasting error under the current forecasting step. The proposed strategy achieves the matching of dispatching period, compensation equipment response time, forecasting step and forecasting error, improving the reliability of integrated energy system dispatching and its ability to cope with wind power uncertainty.

Keywords: Wind power forecasting error; Energy storage; Time characteristics; Time-scale adaptive adjustment; Dispatching of integrated energy system (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544222034715
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:267:y:2023:i:c:s0360544222034715

DOI: 10.1016/j.energy.2022.126584

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().