求助PDF
{"title":"Cantor: A Novel Dynamic Source-Grid-Load-Storage Dispatching Model for Multiple Objectives in a Regional-Level Power System","authors":"Haizhou Du, Xiaohan Guo","doi":"10.1002/tee.24246","DOIUrl":null,"url":null,"abstract":"<p>The alignment of the real-time power supply–demand side becomes a crucial issue in the regional-level power system due to the growing complexity of source-grid-load-storage scenarios. However, traditional dispatching schemes with inflexible time points are hardly adaptive to the unpredictability of renewable energy generation and multiple-type load demands. To address this issue, we propose Cantor, a novel dynamic source-gird-load-storage dispatching model for multiple objectives in a regional-level power system. Cantor incorporates two techniques: (1) An identification algorithm of dispatching time points (IDTP) is designed to satisfy the requirement of power supply–demand alignment dynamically. (2) The latest Twin Delayed Deep Deterministic Policy Gradient decision algorithm is improved to calculate optimal dispatching results in different IDTPs. Furthermore, our case studies highlight Cantor's effective adaptation to complex scenarios in a regional-level power system dispatching, outperforming state-of-the-art models in power supply reliability, environmental protection, and economic costs, as well as model-solving efficiency. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.</p>","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"20 6","pages":"830-840"},"PeriodicalIF":1.0000,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEJ Transactions on Electrical and Electronic Engineering","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/tee.24246","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
引用
批量引用
Abstract
The alignment of the real-time power supply–demand side becomes a crucial issue in the regional-level power system due to the growing complexity of source-grid-load-storage scenarios. However, traditional dispatching schemes with inflexible time points are hardly adaptive to the unpredictability of renewable energy generation and multiple-type load demands. To address this issue, we propose Cantor, a novel dynamic source-gird-load-storage dispatching model for multiple objectives in a regional-level power system. Cantor incorporates two techniques: (1) An identification algorithm of dispatching time points (IDTP) is designed to satisfy the requirement of power supply–demand alignment dynamically. (2) The latest Twin Delayed Deep Deterministic Policy Gradient decision algorithm is improved to calculate optimal dispatching results in different IDTPs. Furthermore, our case studies highlight Cantor's effective adaptation to complex scenarios in a regional-level power system dispatching, outperforming state-of-the-art models in power supply reliability, environmental protection, and economic costs, as well as model-solving efficiency. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.
一种新的区域电力系统多目标动态源-网-蓄负荷调度模型
随着源-网-荷-蓄场景的日益复杂,实时电力供需侧对齐成为区域级电力系统中的一个关键问题。然而,传统的时间点不灵活的调度方案难以适应可再生能源发电的不可预测性和多种负荷需求。为了解决这一问题,我们提出了一种新的区域级电力系统多目标动态源-网-蓄负荷调度模型Cantor。Cantor结合了两种技术:(1)设计了一种调度时间点(IDTP)识别算法,以满足电力供需动态对齐的要求。(2)改进了最新的双延迟深度确定性策略梯度决策算法,计算不同idtp下的最优调度结果。此外,我们的案例研究突出了Cantor在区域级电力系统调度中对复杂场景的有效适应,在供电可靠性、环境保护、经济成本以及模型求解效率方面优于最先进的模型。©2024日本电气工程师协会和Wiley期刊有限责任公司。
本文章由计算机程序翻译,如有差异,请以英文原文为准。