【论文推荐】中国电科院季知祥等：能源互联网运营平台任务调度与并发处理技术研究

原创英文期刊编辑部全球能源互联网期刊 2023-01-10 08:00

摘要

能源互联网运营平台为能源用户、能源企业、供应商、政府等市场主体提供互动、交易、运行管理等能力，由于平台用户多、业务复杂、数据挖掘任务量大，需要解决平台任务调度、海量用户并发访问等问题。本文针对平台任务调度、多用户并发处理两个核心技术开展研究，提出了基于粒子群算法的分布式任务调度方法和技术实现方案，形成了系统的海量用户并发处理解决方案，基于本文成果能源互联网运营平台可有效处理千万级用户并发访问和复杂任务调度问题。

Research on task scheduling and concurrent processing technology for energy internet operation platform

能源互联网运营平台任务调度与并发处理技术研究

Zhixiang Ji1, Xiaohui Wang1, Dan Wu2

(1.China Electric Power Research Institute Co. Ltd., Beijing 100192, P. R. China

2.State Grid Fujian Electric Power Research Institute, Fuzhou 350001, P. R. China)

收听作者1分钟语音介绍

Research on task scheduling and concurrent processing techn

Abstract

The energy Internet operation platform provides market entities such as energy users, energy enterprises, suppliers, and governments with the ability to interact, transact, and manage various operations. Owing to the large number of platform users, complex businesses, and large amounts of data-mining tasks, it is necessary to solve the problems afflicting platform task scheduling and the provision of simultaneous access to a large number of users. This study examines the two core technologies of platform task scheduling and multiuser concurrent processing, proposing a distributed task- scheduling method and a technical implementation scheme based on the particle swarm optimization algorithm, and presents a systematic solution in concurrent processing for massive user numbers. Based on the results of this study, the energy internet operation platform can effectively deal with the concurrent access of tens of millions of users and complex task-scheduling problems.

Keywords

Energy Internet, Distributed task scheduling, Concurrent processing.

Fig.1 Overall architecture of the energy internet operation platform

Fig.2 Distributed task-scheduling architecture

Fig.3 Distributed task-scheduling process

Fig.4 Concurrent Processing Technology Solutions

本文引文信息

Ji ZX, Wang XH, Wu D (2022) Research on task scheduling and concurrent processing technology for energy internet operation platform, 5(6): 579-589

季知祥，王晓辉，吴丹 (2022) 能源互联网运营平台任务调度与并发处理技术研究. 全球能源互联网（英文）, 5(6): 579-589

Biographies

Zhixiang Ji

Zhixiang Ji received a Master’s degree at the Harbin Institute of Technology, Nangang District, Harbin, 2011. He currently works at the China Electric Power Research Institute Co. Ltd., Haidian District, Beijing. His research interests include the application of artificial intelligence (AI) technology in power systems.

Xiaohui Wang

Xiaohui Wang received a doctoral degree at North China Electric Power University, Beijing in 2012. He currently works at the China Electric Power Research Institute Co. Ltd., Haidian District, Beijing. His research interests include power big data technology, artificial intelligence, active distributed networks, and the Internet.

Dan Wu

Dan Wu received a master’s degree at the University of Electronic Science and Technology of China, Chenghua District, Chengdu, 2012. She currently works at the State Grid Fujian Electric Power Research Institute, Cangshan District, Fuzhou, China. Her research interests include the application of information security technology in 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。