【论文推荐】俄罗斯科学院西伯利亚分院梅伦捷夫能源系统研究院德米特里·克鲁佩内夫等：现代电力系统充分性的评估方法研究

原创英文期刊编辑部全球能源互联网期刊 2022-11-21 08:00

摘要

本研究旨在开发一种评估先进电力系统的充分性的方法，由于集成了多种创新技术使得分析变得复杂。本文所提出的方法旨在解决两个主要问题：1）提高电力系统中发生的过程建模的充分性，2）提高充分性评估方法的计算效率。本文提出了一种新的数学模型，以最大限度减少电力短缺并增强过程建模的充分性。该模型考虑了二次电力传输损耗和网络系数。充分性评估方法的计算效率通过使用有效的随机数生成器来形成电力系统的计算状态，并使用机器学习方法来评估计算状态中的电力短缺和其他可靠性特征。

Development of a methodology for assessing the adequacy of electric power systems

现代电力系统充分性的评估方法研究

Dmitry S. Krupenev¹, Denis A. Boyarkin¹, Dmitrii V. Iakubovskii¹

(1.Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences, Lermontov str., 130, Irkutsk, 664033, Russia)

Abstract

This study presents the results of a research into the developing a methodology for assessing the adequacy of advanced electric power systems characterized by the integration of various innovative technologies, which complicates their analysis. The methodology development is aimed at solving two main problems: 1) increase the adequacy of modeling the processes that occur in the electric power system and 2) enhance the computational efficiency of the adequacy assessment methodology. This study proposes a new mathematical model to minimize the power shortage and enhance the adequacy of modeling the processes. The model considers quadratic power transmission losses and network coefficients. The computational efficiency of the adequacy assessment methodology is enhanced using efficient random- number generators to form the calculated states of electric power systems and machine learning methods to assess power shortages and other reliability characteristics in the calculated states.

Keywords

Electric power systems, Adequacy, Power shortage minimization, Pseudo- and quasi-random number generation, Machine learning methods.

Fig.1 IEEE RTS-24

Fig.2 Algorithm for adequacy assessment using Monte Carlo method with multitask regression

本文引文信息

Dmitry S K, Denis A B, Dmitrii V I (2022) Development of a methodology for assessing the adequacy of electric power systems. Global Energy Interconnection, 5(5): 543-550

德米特里·克鲁佩内夫，丹尼斯·博雅尔金，德米特里·亚库博夫斯基 (2022) 现代电力系统充分性的评估方法研究. 全球能源互联网（英文）, 5(5): 543-550

Biographies

D.S. Krupenev

D.S. Krupenev received the Ph.D. degree from Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences (ESI SB RAS), Irkutsk, Russia, 2011. He is working in ESI SB RAS. His research interests include method and model assessment, and ensuring the system reliability, adequacy, and security of electric power systems.

D.A. Boyarkin

D.A. Boyarkin received the Masters degree from Irkutsk National Research Technical University (INRTU), Irkutsk, 2021; Pre- doctoral researcher at ESI SB RAS, Irkutsk, 2019. He is presently working in ESI SB RAS. His research interests include random number generators, machine learning, and adequacy of electric power systems.

D.V. Iakubovskii

D.V. Iakubovskii received the Masters degree from INRTU, Irkutsk, 2020; Pre-doctoral researcher at ESI SB RAS, Irkutsk, 2019. He is working in ESI SB RAS. His research interests include mathematical modeling, optimization, and adequacy of electric power systems.

编辑：王彦博

审核：王伟

郑重声明

根据国家版权局相关规定，纸媒、网站、微博、微信公众号转载、摘编本网站作品，需包含本网站名称、二维码等关键信息，并在文首注明《全球能源互联网》原创。个人请按本网站原文转发、分享。

Development of a methodology for assessing the adequacy of electric power systems

【论文推荐】俄罗斯科学院西伯利亚分院梅伦捷夫能源系统研究院 德米特里·克鲁佩内夫等：现代电力系统充分性的评估方法研究

郑重声明

【论文推荐】俄罗斯科学院西伯利亚分院梅伦捷夫能源系统研究院德米特里·克鲁佩内夫等：现代电力系统充分性的评估方法研究