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含高比例可再生能源电力系统灵活性规划及挑战
引用本文:鲁宗相,李海波,乔颖.含高比例可再生能源电力系统灵活性规划及挑战[J].电力系统自动化,2016,40(13):147-158.
作者姓名:鲁宗相  李海波  乔颖
作者单位:清华大学电机工程与应用电子技术系, 北京市 100084,清华大学电机工程与应用电子技术系, 北京市 100084,清华大学电机工程与应用电子技术系, 北京市 100084
基金项目:国家科技支撑计划资助项目(2013BAA01B03);国家电网公司科技项目(SGTYHT/14-JS-188)
摘    要:未来高比例可再生能源的随机变化特性将给电力系统运行灵活性带来前所未有的挑战,对系统的灵活性资源进行规划成为必要的研究工作。对含高比例可再生能源电力系统灵活性规划的研究动态进行评述,首先分析了高比例可再生能源电力系统的基本特征,给出了电力系统灵活性的定义、主要灵活性资源类型和灵活性平衡原理,然后介绍了灵活性定量评价指标体系,最后,提出了电力系统灵活性协调规划的核心内容及求解思路、存在的关键难题及技术解决思路。

关 键 词:高比例可再生能源  灵活性评价  多时空尺度  电力系统规划
收稿时间:2015/12/15 0:00:00
修稿时间:3/4/2016 12:00:00 AM

Power System Flexibility Planning and Challenges Considering High Proportion of Renewable Energy
LU Zongxiang,LI Haibo and QIAO Ying.Power System Flexibility Planning and Challenges Considering High Proportion of Renewable Energy[J].Automation of Electric Power Systems,2016,40(13):147-158.
Authors:LU Zongxiang  LI Haibo and QIAO Ying
Institution:Department of Electrical Engineering, Tsinghua University, Beijing 100084, China,Department of Electrical Engineering, Tsinghua University, Beijing 100084, China and Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
Abstract:The stochastic and variable characteristics of high proportion of renewable energy in the future power system would bring unprecedented challenges to power system operational flexibility, rendering specialized planning for flexible resources in power system indispensable in the whole planning process as never before. An overview on power system flexibility planning technique considering high proportion of renewable energy is given. Firstly, the features of power system with a high proportion of renewable energy are analyzed. Then the definition of power system flexibility, the main flexible resources in power system and the flexibility equilibrium are given prior to demonstrating current research on quantitative evaluation of flexibility. Finally, the core content, key technical problems and solving approach in power system flexibility coordinated planning are proposed. This work is supported by National Key Technologies R&D Program(No. 2013BAA01B03)and State Grid Corporation of China(No. SGTYHT/14-JS-188).
Keywords:high proportion of renewable energy  flexibility evaluation  multiple temporal and spatial scales  power system planning
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