AUTHOR=Li Kewen , Lin Xinhao , Zhang Wei , Yu Lei , Chen Qianyi , Liu Yinliang , Ou Shifeng , Xu Min , Li Junhao 

TITLE=An efficient multi-timescale regulation strategy for distribution networks based on active and passive resources combined

JOURNAL=Frontiers in Energy Research

VOLUME=Volume 12 - 2024

YEAR=2024

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2024.1381349

DOI=10.3389/fenrg.2024.1381349

ISSN=2296-598X

ABSTRACT=Introducing solar and wind into the distribution networks (DN) is an important initiative to promote the cleanliness and low-carbonization for DN. However, the source and load outputs are uncertain in DN, which will lead to the problem of inaccuracy regulation and insufficient renewable energy utilization. Therefore, this study provides an efficient multi-timescale regulation strategy for DN based on active and passive resources combined. Firstly, the day-ahead regulation model is constructed to minimize the total operating cost in a single day for DN. It aims to determine the On-Load Tap Changer (OLTC) and Capacitor Bank (CB) switching schemes and take them as the constraints for intraday regulation by power flow unification. Then, an intraday source and load uncertainty model is performed, which aims to cope with the problems of the inaccuracies of the day-ahead source and load prediction. Based on this, the objective function of the intraday regulation model is set. It aims to minimize the deviation from the total cost day-ahead, and then to ensure the optimal system economy and determine the intraday new energy and energy storage system (ESS) short-time action scheme. Finally, the example results show that the proposed scheme can achieve the maximum utilization of renewable energy and improve the low-carbon economic operation of the whole system.