期刊目次

加入编委

期刊订阅

添加您的邮件地址以接收即将发行期刊数据:

Open Access Article

Journal of Electrical Engineering and Automation. 2024; 3: (1) ; 52-64 ; DOI: 10.12208/j.jeea.20240010.

Analysis of energy management and dispatching technology in smart grid
智能电网中的能源管理与调度技术解析

作者: 陈军 *

南京工程学院 江苏南京

*通讯作者: 陈军,单位:南京工程学院 江苏南京;

发布时间: 2024-06-24 总浏览量: 382

摘要

随着全球能源需求的不断增长和环境保护意识的日益增强,智能电网作为未来能源系统的重要组成部分,正逐渐展现出其独特的魅力和潜力。智能电网通过集成先进的通信、信息和控制技术,实现了对能源的高效管理、优化调度和智能控制,为能源行业的可持续发展提供了有力支撑。本文旨在解析智能电网中的能源管理与调度技术,探讨其发展趋势、技术特点、应用案例以及面临的挑战,以期为智能电网的建设和发展提供有益的参考。智能电网中的能源管理与调度技术涉及多个方面,包括能源数据采集与监测、能源预测与优化、能源存储以及调度策略与算法等。智能电网的能源管理与调度技术也面临着一些挑战,如数据安全与隐私保护、技术标准与互操作性等问题。为了解决这些问题,需要加强技术研发和标准化建设,推动智能电网的健康发展。

关键词: 智能电网;能源管理;调度技术

Abstract

With the continuous growth of global energy demand and the increasing awareness of environmental protection, smart grid, as an important part of the future energy system, is gradually showing its unique charm and potential. By integrating advanced communication, information and control technologies, smart grid realizes efficient management, optimized dispatch and intelligent control of energy, providing strong support for the sustainable development of the energy industry. This paper aims to analyze the energy management and dispatching technology in smart grid, explore its development trend, technical characteristics, application cases and challenges, in order to provide a useful reference for the construction and development of smart grid. Energy management and dispatching technology in smart grid involves many aspects, including energy data collection and monitoring, energy prediction and optimization, energy storage, and dispatching strategies and algorithms. Energy management and dispatching technology of smart grid also faces some challenges, such as data security and privacy protection, technical standards and interoperability. In order to solve these problems, it is necessary to strengthen technology research and development and standardization construction to promote the healthy development of smart grid.

Key words: Smart grid; Energy management; Dispatching technology

参考文献 References

[1] Cheng L, Yu T. Smart dispatching for energy internet with complex cyber‐physical‐social systems: A parallel dispatch perspective[J]. International Journal of Energy Research, 2019, 43(8): 3080-3133.

[2] Wen G, Yu X, Liu Z. Recent progress on the study of distributed economic dispatch in smart grid: an overview[J]. Frontiers of Information Technology & Electronic Engineering, 2021, 22(1): 25-39.

[3] Yin L, Gao Q, Zhao L, et al. Expandable deep learning for real-time economic generation dispatch and control of three-state energies based future smart grids[J]. Energy, 2020, 191: 116561.

[4] 吴泉清. 智能电网下新能源与常规能源协调发展策略研究 [J]. 光源与照明, 2024, (04): 189-191. 

[5] 张楠. 智能电网下的能源存储技术及其应用 [J]. 中华纸业, 2024, 45 (03): 73-75. 

[6] Lund H, Thellufsen J Z, Sorknæs P, et al. Smart energy Denmark. A consistent and detailed strategy for a fully decarbonized society[J]. Renewable and Sustainable Energy Reviews, 2022, 168: 112777.

[7] 戴诗容. 面向智能电网的清洁能源联合供电系统的设计与实现 [J]. 电子技术, 2024, 53 (02): 158-159. 

[8] 胡龙江. 智能电网中的能源监测与优化策略分析 [J]. 集成电路应用, 2024, 41 (01): 308-309. 

[9] 庞思颜,饶欢,梅傲琪,等. 面向智能电网能源枢纽的需求响应策略研究 [J]. 制造业自动化, 2023, 45 (10): 141-146. 

[10] 吴笛. 新能源接入智能电网的技术分析 [J]. 太阳能学报, 2023, 44 (09): 554. 

[11] 邱益林. 智能电网可再生能源微电网系统设计分析 [J]. 太阳能学报, 2023, 44 (08): 568. 

[12] 洪小骏,朱剑辉,夏天泉,等.基于人工智能算法的卫星能源优化调度研究[J].中国高新科技,2023,(19):33-35.

[13] Yin L, Gao Q, Zhao L, et al. Expandable deep learning for real-time economic generation dispatch and control of three-state energies based future smart grids[J]. Energy, 2020, 191: 116561.

[14] Liu W J, Chi M, Liu Z W, et al. Distributed optimal active power dispatch with energy storage units and power flow limits in smart grids[J]. International Journal of Electrical Power & Energy Systems, 2019, 105: 420-428.

[15] 卢璐,张旺,肖莹,等. 考虑可再生能源成本特征的智能电网优化运行研究[J]. 微型电脑应用, 2023, 39 (08): 91-93. 

[16] 陈竞,杜杰,李宇远. 智慧能源大数据库下的智能电网云平台快速响应方法 [J]. 微型电脑应用, 2023, 39 (07): 109-113. 

[17] Lü Q, Liao X, Li H, et al. Achieving acceleration for distributed economic dispatch in smart grids over directed networks[J]. IEEE Transactions on Network Science and Engineering, 2020, 7(3): 1988-1999. 

[18] Li F, Qin J, Zheng W X. Distributed $ Q $-Learning-Based Online Optimization Algorithm for Unit Commitment and Dispatch in Smart Grid[J]. IEEE transactions on cybernetics, 2019, 50(9): 4146-4156.

[19] 梁小姣,王琳,李文杰. 新能源发电在智能电网发展中的应用 [J]. 中国高新科技, 2022, (22): 37-39. 

[20] 万艳妮. 智能电网能源管理与需求响应优化运行策略及方法研究[D]. 中国科学技术大学, 2022. 

[21] 刘晓燕, 拓天电力可再生能源并网的智能电网安全管控技术研究及应用. 安徽省, 安徽省拓天电力设计咨询有限公司, 2022-01-06. 

[22] 李国俭,刘智超. 智能电网及其在新能源发电中的应用分析 [J]. 企业管理, 2021, (S1): 344-345. 

[23] 吴漾,王鹏宇. 基于人工智能的智能电网储能技术应用——评《智能电网储能:可再生能源的规划与运行》 [J]. 电池, 2020, 50 (06): 614-615. 

[24] 黄琦, 智能电网与能源互联网关键技术研究. 四川省, 电子科技大学, 2020-09-03. 

[25] Joseph A, Balachandra P. Smart grid to energy internet: A systematic review of transitioning electricity systems[J]. Ieee Access, 2020, 8: 215787-215805.

[26] 余贻鑫. 分布式可再生能源和智能电网——数字化社会的重大基础设施 [J]. 机器人产业, 2020, (04): 20-24. 

[27] 王田,梁洋洋. 基于智能电网技术的能源网络供应链买电策略研究 [J]. 中国管理科学, 2021, 29 (07): 110-117.

[28] 闫立军. 基于智能电网的清洁能源联合供电系统 [J]. 集成电路应用, 2020, 37 (06): 132-133. 

[29] Wang J, Zhang L, Liu Z, et al. A novel decomposition-ensemble forecasting system for dynamic dispatching of smart grid with sub-model selection and intelligent optimization[J]. Expert Systems with Applications, 2022, 201: 117201.

[30] 白勇. 智能电网下新能源与常规能源如何协调发展 [J]. 信息记录材料, 2020, 21 (01): 190-191.

引用本文

陈军, 智能电网中的能源管理与调度技术解析[J]. 电气工程与自动化, 2024; 3: (1) : 52-64.