A Multi-Timescale Operational Strategy for Active Distribution Networks with Load Forecasting Integration

Dongli Jia (), Zhaoying Ren, Keyan Liu, Kaiyuan He and Zukun Li
Additional contact information
Dongli Jia: China Electric Power Research Institute Co., Ltd., Beijing 100192, China
Zhaoying Ren: China Electric Power Research Institute Co., Ltd., Beijing 100192, China
Keyan Liu: China Electric Power Research Institute Co., Ltd., Beijing 100192, China
Kaiyuan He: China Electric Power Research Institute Co., Ltd., Beijing 100192, China
Zukun Li: Department of Electrical and Information Engineering, Hunan University, Changsha 410082, China

Energies, 2025, vol. 18, issue 13, 1-18

Abstract: To enhance the operational stability of distribution networks during peak periods, this paper proposes a multi-timescale operational method considering load forecasting impacts. Firstly, the Crested Porcupine Optimizer (CPO) is employed to optimize the hyperparameters of long short-term memory (LSTM) networks for an accurate prediction of the next-day load curves. Building on this foundation, a multi-timescale optimization strategy is developed: During the day-ahead operation phase, a conservation voltage reduction (CVR)-based regulation plan is formulated to coordinate the control of on-load tap changers (OLTCs) and distributed resources, alleviating peak-shaving pressure on the upstream grid. In the intraday optimization phase, real-time adjustments of OLTC tap positions are implemented to address potential voltage violations, accompanied by an electrical distance-based control strategy for flexible adjustable resources, enabling rapid voltage recovery and enhancing system stability and robustness. Finally, a modified IEEE-33 node system is adopted to verify the effectiveness of the proposed multi-timescale operational method. The method demonstrates a load forecasting accuracy of 93.22%, achieves a reduction of 1.906% in load power demand, and enables timely voltage regulation during intraday limit violations, effectively maintaining grid operational stability.

Keywords: distribution network; load forecasting; conservation voltage reduction (CVR); multi-timescale optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/18/13/3567/pdf (application/pdf)
https://www.mdpi.com/1996-1073/18/13/3567/ (text/html)

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:gam:jeners:v:18:y:2025:i:13:p:3567-:d:1696074

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().