Research and prospect of advanced distribution management system for the digital and intelligent transformation of distribution network

doi:10.3969/j.issn.2097-0706.2022.12.005

Abstract

Abstract:

Confronting current energy reform and power system development，there has been substantial changes in the operation and planning of distribution networks.To cope with the challenges of digital and intelligent transformation of distribution networks，cutting-edge information and communication technology，diversified control structure and advanced application algorithm are integrated into advanced distribution management system.After the introduction on the core functions，key technologies and expected benefits of the advanced distribution management system，a multi-stage evolution route for the advanced distribution management system platform construction and development is proposed based on its technical concept and practical application.The route provides a useful reference for the construction of future distribution system with high-penetration renewable energy sources，high integration with the physical information network and interaction between power sources，grids，loads and energy storages.

Key words: advanced distribution management system, digital intelligence transformation, evolution route, distribution automation, operation control, generation-grid-load-storage, high penetration new energy access

CLC Number:

TK01：TM72

XIA Xue, ZHANG Ruixi, WANG Lei, DING Ran, ZHAN Yan. Research and prospect of advanced distribution management system for the digital and intelligent transformation of distribution network[J]. Integrated Intelligent Energy, 2022, 44(12): 33-39.

Figures/Tables 3

References 25

[1]	赵国涛, 钱国明, 王盛. “双碳”目标下绿色电力低碳发展的路径分析[J]. 华电技术, 2021, 43(6):11-20.
	ZHAO Guotao, QIAN Guoming, WANG Sheng. Analysis on green and low‑carbon development path for power industry to realize carbon peak and carbon neutrality[J]. Huadian Technology, 2021, 43(6):11-20.
[2]	董旭柱, 祝虎, 尚磊, 等. 新型配电系统形态特征与技术展望[J]. 高电压技术, 2021, 47(9):3021-3035.
	DONG Xuzhu, ZHU Hu, SHANG Lei, et al. Morphological characteristics and technology prospect of new distribution system[J]. High Voltage Engineering, 2021, 47(9):3021-3035.
[3]	马钊, 张恒旭, 赵浩然, 等. 双碳目标下配用电系统的新使命和新挑战[J]. 中国电机工程学报, 2022, 42(19):6931-6945.
	MA Zhao, ZHANG Hengxu, ZHAO Haoran, et al. New mission and challenge of power distribution and consumption system under dual-carbon target[J]. Proceedings of the CSEE, 2022, 42(19):6931-6945.
[4]	MELIOPOULOS A P S, POLYMENEAS E, TAN Z, et al. Advanced distribution management system[J]. IEEE Transactions on Smart Grid, 2013, 4(4):2109-2117. doi: 10.1109/TSG.2013.2261564
[5]	CASSEL W R. Distribution management systems:Functions and payback[J]. IEEE Transactions on Power Systems, 1993, 8(3):796-801. doi: 10.1109/59.260926
[6]	ZHOU J, ZHAO S, MEI B, et al. Improving operational efficiency and benefits of the distribution network with advanced distribution management system[C]// 2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2).IEEE, 2020:4127-4132.
[7]	TSAO Y C, THANH V V, LU J C. Sustainable advanced distribution management system design considering differential pricing schemes and carbon emissions[J]. Energy, 2021, 219(5):119596.DOI:10.1016/j.energy.2020.119596. doi: 10.1016/j.energy.2020.119596
[8]	BOARDMAN E. Advanced applications in an advanced distribution management system:Essentials for implementation and integration[J]. IEEE Power and Energy, 2019, 18(1):43-54.
[9]	POPOVIC N D, POPOVIC D S, SESKAR I. A novel cloud‑based advanced distribution management system solution[J]. IEEE Transactions on Industrial Informatics, 2017, 14(8):3469-3476. doi: 10.1109/TII.2017.2780060
[10]	RAZON A, THOMAS T, BANUNARAYANAN V, et al. Advanced distribution management systems:Connectivity through standardized interoperability protocols[J]. IEEE Power & Energy, 2019, 18(1):26-33.
[11]	DEVANAND P, RASTOGI R, AHMAD S, et al. Advanced distribution management system:Improving distribution efficiency through an integrated approach[J]. IEEE Power & Energy, 2019, 18(1):55-62.
[12]	NGO Y, ARANT H, BILBY C, et al. Investing for the future:How small utilities are finding success with advanced distribution management systems[J]. IEEE Power & Energy, 2019, 18(1):34-42.
[13]	DUBEY A, BOSE A, LIU M, et al. Paving the way for advanced distribution management systems applications: Making the most of models and data[J]. IEEE Power & Energy, 2019, 18(1):63-75.
[14]	VADARI M. The future of distribution operations and planning:The electric utility environment is changing[J]. IEEE Power & Energy, 2019, 18(1):18-25.
[15]	BAGGU M M. A test bed to evaluate advanced distribution management systems for modern power systems[R]. National Renewable Energy Lab(NREL),Golden,CO(United States), 2019.
[16]	张宏毅. 智能配电运维管理系统的研究与开发[D]. 保定: 华北电力大学, 2019.
[17]	李炜, 严川, 盛庆博, 等. 大数据背景下智能配电网运营管理方法研究[J]. 华电技术, 2021, 43(8):33-40.
	LI Wei, YAN Chuan, SHENG Qingbo, et al. Study on smart distribution network operation and management methods in the context of big data[J]. Huadian Technology, 2021, 43(8):33-40.
[18]	张勇军, 羿应棋, 李立浧, 等. 双碳目标驱动的新型低压配电系统技术展望[J]. 电力系统自动化, 2022, 46(22):1-12.
	ZHANG Yongjun, YI Yingqi, LI Liyong, et al. Prospect of new low-voltage distribution system technology driven by carbon emission peak and carbon neutrality targets[J]. Automation of Electric Power Systems, 2022, 46(22):1-12.
[19]	孙峰洲. 含高比例分布式新能源的柔性配电网优化运行研究[D]. 杭州: 浙江大学, 2021.
[20]	朱晓荣, 鹿国微, 谢婉莹. 考虑源网荷灵活性资源的配电网储能鲁棒规划[J]. 电力自动化设备, 2021, 41(8):8-16,40.
	ZHU Xiaorong, LU Guowei, XIE Wanying. Robust planning of energy storage in distribution network considering source‑network‑load flexible resources[J]. Electric Power Automation Equipment, 2021, 41(8):8-16,40.
[21]	曹德发, 马明, 汤平瑜, 等. 多源量测环境下基于深度强化学习的配电网分布式状态估计方法[J]. 可再生能源, 2021, 39(10):1414-1420.
	CAO Defa, MA Ming, TANG Pingyu, et al. Distributed state estimation method of distribution network based on deep reinforcement learning in multi source measurement environment[J]. Renewable Energy Sources, 2021, 39(10):1414-1420.
[22]	张颖, 寇凌峰, 季宇, 等. 计及储能与分布式电源协同的配电网分层分区优化控制[J]. 中国电力, 2021, 54(2):104-112.
	ZHANG Ying, KOU Lingfeng, JI Yu, et al. Hierarchical and partitioned optimal control of distribution networks considering the coordination between energy storage and distributed generation systems[J]. Electric Power, 2021, 54(2):104-112.
[23]	朱越, 宋祺鹏, 李玉凌, 等. 面向配电物联网的终端架构与互操作测试工程应用[J]. 供用电, 2022, 39(9):18-26.
	ZHU Yue, SONG Qipeng, LI Yuling, et al. Power distribution internet of things terminal architecture and interoperability test engineering application[J]. Power Supply and Electricity, 2022, 39(9):18-26.
[24]	张晖, 佘蕊, 张宁池, 等. 基于5G通信的智能配电网改造经济性综合评估方式[J]. 科学技术与工程, 2021, 21(25):10746-10754.
	ZHANG Hui, SHE Rui, ZHANG Ningchi, et al. Comprehensive evaluation method of economics of smart distribution network reconstruction based on 5G communication[J]. Science Technology and Engineering, 2021, 21(25):10746-10754.
[25]	张云奇. 资产全寿命周期评估模型在供电服务企业管理中的应用[J]. 电力信息与通信技术, 2021, 19(8):112-117.
	ZHANG Yunqi. Application of asset life cycle evaluation model in power supply service enterprise management[J]. Electric Power Information and Communication Technology, 2021, 19(8):112-117.