Yukseltan E, Kok A, Yucekaya A, Bilge A, Aktunc E Agca, Hekimoglu M
Department of Industrial Engineering, Kadir Has University, Istanbul, Turkey.
Util Policy. 2022 Jun;76:101359. doi: 10.1016/j.jup.2022.101359. Epub 2022 Feb 28.
The rapid spread of COVID-19 has severely impacted many sectors, including the electricity sector. The reliability of the electricity sector is critical to the economy, health, and welfare of society; therefore, supply and demand need to be balanced in real-time, and the impact of unexpected factors should be analyzed. During the pandemic, behavioral restrictions such as lockdowns, closure of factories, schools, and shopping malls, and changing habits, such as shifted work and leisure hours at home, significantly affected the demand structure. In this research, the restrictions and their corresponding timing are classified and mapped with the Turkish electricity demand data to analyze the estimated impact of the restrictions on total demand and daily demand profile. A modulated Fourier Series Expansion evaluates deviations from normal conditions in the aggregate demand and the daily consumption profile. The aggregate demand shows a significant decrease in the early phase of the pandemic, during the period March-June 2020. The shape of the daily demand curve is analyzed to estimate how much demand shifted from daytime to night-time. A population-based restriction index is proposed to analyze the relationship between the strength and coverage of the restrictions and the total demand. The persistency of the changes in the daily demand curve in the post-contingency period is analyzed. These findings imply that new scheduling approaches for daily and weekly loads are required to avoid supply-demand mismatches in the future. The long-term policy implications for the energy transition and lessons learned from the COVID-19 pandemic experience are also presented.
新冠疫情的迅速蔓延对包括电力部门在内的许多行业都产生了严重影响。电力部门的可靠性对经济、健康和社会福祉至关重要;因此,需要实时平衡供需,并分析意外因素的影响。在疫情期间,诸如封锁、工厂、学校和商场关闭等行为限制,以及工作和休闲时间转移到家中等习惯变化,显著影响了需求结构。在本研究中,将这些限制及其相应时间与土耳其电力需求数据进行分类和映射,以分析这些限制对总需求和每日需求曲线的估计影响。调制傅里叶级数展开用于评估总需求和每日消费曲线与正常情况的偏差。总需求在疫情初期,即2020年3月至6月期间显著下降。分析每日需求曲线的形状,以估计有多少需求从白天转移到了夜间。提出了一个基于人口的限制指数,以分析限制的强度和覆盖范围与总需求之间的关系。分析了应急后时期每日需求曲线变化的持续性。这些发现意味着,需要新的每日和每周负荷调度方法,以避免未来出现供需不匹配的情况。还介绍了能源转型的长期政策影响以及从新冠疫情经验中吸取的教训。