摘要
配电网规划是电力改革的重要环节,而我国新电改给传统的配电网规划和发展带来了挑战。分析国内电力行业特点、国内电力体制改革历程及新电改给我国电力市场化带来的新变化,主要体现在市场主体、市场交易、定价机制和电力监督4个方面。文章从国家新电改政策出发,分析深圳电网特点、典型用户用电特点以及配电规划难点等问题。结果表明,2018年深圳电网最高负荷达到1.721×10~7 kW,以工业和商业为主,分别占比超过60%和17%;深圳市智能化电网规划面临着负荷落差大、预测难度大、负荷预测手段有限、电网管理制度缺乏和自动化水平低等问题。最后,文章根据新电改、深圳电网和用户用电的特点,提出了深圳市智能化电网规划的建议对策。
Distribution network planning is an important part of electric power reform,and the new electricity reform in China has brought challenges to the traditional distribution network planning and development. This paper analyses the characteristics of domestic electric power industry,the reform process of domestic electric power system and the new changes brought about by the new electric power reform to China’s electric power market,which are mainly embodied in four aspects:market subject,market transaction,pricing mechanism and power supervision. Starting from the national new electricity reform policy,this paper analyses the characteristics of Shenzhen power grid,the characteristics of typical users and the difficulties of distribution planning. The results show that the maximum load of Shenzhen power grid will reach 1.721×10~7 kW in 2018,mainly in industry and commerce,accounting for more than 60% and 17% respectively. The planning of Shenzhen intelligent power grid is faced with such problems as large load drop,difficult forecasting,limited means of load forecasting,lack of power grid management system and low level of automation. Finally,according to the characteristics of new electricity reform,Shenzhen power grid and user power consumption,the paper puts forward some suggestions and Countermeasures for Shenzhen intelligent power grid planning.
作者
邓永生
焦丰顺
张瑞锋
陈掀
DENG Yong-sheng;JIAO Feng-shun;ZHANG Rui-feng;CHEN Xian(Shenzhen Power Supply Bureau Co.,Ltd.,Shenzhen 518000,China;Material and Device Testing Center,Shenzhen International Graduate School,Tsinghua University,Shenzhen 518000,China)
出处
《通信电源技术》
2019年第7期106-109,共4页
Telecom Power Technology
关键词
电力改革
配电网
电网规划
智能化电网
负荷预测
electric power reform
distribution network
power grid planning
intelligent power grid
load forecasting