摘要
为适应大规模分布式电源、储能、电动汽车接入配电网后发电方式和用电行为的改变,智能用电技术成为当前及未来智能电网研究的趋势。基于智能用电技术的内涵及核心特征,从需求侧响应、电能质量调控、可再生能源消纳、最优潮流控制、设备利用率提升方面,综述了配电网灵活优化运行的应用需求;考虑配电网运行与规划的相互影响,从分布式电源规划、配电网规划以及储能和电动汽车规划3个方向对当前规划思路和研究现状进行总结分析。结合源网荷供需灵活互动对配电网运行规划提出的挑战和未来配电网发展趋势,提出智能用电技术背景下配电网运行规划中需要进一步深入研究的问题。
In order to adapt to the change of power generation mode and power consumption behaviour after the ac- cess of large-scale distributed generators, energy storages and electric vehicles to distribution network, the smart power utilization technology has become the research trend of current and future smart grid, based on the connotation and fundamental features of which, the application demands of flexible and optimal operation of distribution network are reviewed from the aspects of demand response, power quality control, renewable energy accommodation, optimal power flow control and improvement of equipment utilization rate. Considering the interaction between operation and planning of distribution network, the current planning thoughts and research status are summarized and analyzed from three directions of distributed generation planning, distribution network planning, and energy storage and electric ve- hicle planning. According to the challenges of distribution network operation and planning brought by the generation- grid-load flexible interaction and the development trend of future distribution network, the problems of distribution network operation and planning in the background of smart power utilization technology need to be further researched are pointed out.
作者
叶琳浩
刘泽槐
张勇军
周来
张尧
YE Linhao;LIU Zehuai;ZHANG Yongjun;ZHOU Lai;ZHANG Yao(Planning and Development Department, China Southern Power Grid Company Limited, Guangzhou 510600, China;School of Electric Power, South China University of Technology ,Guangzhou 510640,China)
出处
《电力自动化设备》
EI
CSCD
北大核心
2018年第5期154-163,共10页
Electric Power Automation Equipment
基金
国家自然科学基金资助项目(51777077)
南方电网公司资助项目(ZBKJXM00000020)~~
关键词
智能用电
需求侧响应
智能配电网
优化运行
协调规划
smart power utilization
demand response
smart distribution network
optimal operation
coordinated planning