基于工业大数据的综合能源管理平台的设计与实现
Integrated Energy Management Platform Design Based on Industrial Big Data
姜玉璇 1李林豪 1詹俊 1邓安祺 2周峻 2满君丰1
作者信息
- 1. 湖南第一师范学院"工业装备智能感知与运维技术"湖南省高校重点实验室,湖南 长沙 410205
- 2. 湖南工业大学 计算机学院,湖南 株洲 412007
- 折叠
摘要
针对新能源发电的随机性和波动性对电力系统运行带来的挑战,本研究设计了一款智能电网综合能效管理平台.该平台通过物联网和数据分析技术,实现了电网数据的全面整合,提高了电网的能源效率和管理水平.通过实时监测和分析电网运行状态,平台能够精确评估电网运行状态、能源流向及负荷分布等关键参数.其核心功能包括高精度的能源需求预测以及对电网调度规划的优化.同时,为应对新能源接入电网带来的电网稳定性、安全性及能效管理的复杂挑战,平台采用了先进的数据处理和分析技术,如模式识别、深度学习以及优化算法,增强了预测模型的准确性以及调度系统的稳定性.
Abstract
In response to the challenges posed by the randomness and volatility of new energy generation on power system operations,this study has designed an integrated energy efficiency management platform for smart grids.Utilizing Internet of Things(IoT)and data analytics technologies,the platform achieves comprehensive integration of grid data,enhancing the energy efficiency and management level of the power grid.Through real-time monitoring and analysis of grid operational status,the platform accurately assesses key parameters such as grid operational conditions,energy flows,and load distribution.Its core functions include high-precision energy demand prediction and optimization of power grid scheduling planning.Additionally,to address the complex challenges of grid stability,security,and energy efficiency management posed by the integration of new energy sources,the platform employs advanced data processing and analysis technologies such as pattern recognition,deep learning,and optimization algorithms.These enhance the accuracy of the prediction models and the stability of the dispatch system.
关键词
新能源发电/智能电网/能效管理/需求预测/调度规划Key words
new energy generation/smart grid/energy efficiency management/dispatch planning引用本文复制引用
出版年
2024
NETL
NSTL
万方数据