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高比例可再生能源电力系统的关键科学问题与理论研究框架

康重庆 姚良忠

电力系统自动化2017,Vol.41Issue(9):1-11,11.
电力系统自动化2017,Vol.41Issue(9):1-11,11.DOI:10.7500/AEPS20170120004

高比例可再生能源电力系统的关键科学问题与理论研究框架

Key Scientific Issues and Theoretical Research Framework for Power Systems with High Proportion of Renewable Energy

康重庆 1姚良忠2

作者信息

  • 1. 电力系统及发电设备控制和仿真国家重点实验室, 清华大学, 北京市 100084
  • 2. 中国电力科学研究院, 北京市 100192
  • 折叠

摘要

Abstract

Vigorously developing renewable energy generation is an effective way to tackle the challenges of energy crisis and air pollution.High proportion of renewable energy integration will be one of the basic characteristics of future power systems.This paper summarizes a number of key issues for power systems with a high proportion of renewable energy generation from two aspects: the power system planning and operation under high level uncertainty and the stability mechanism of power system with massive integration of power electronic devices.On this basis, a theoretical research framework is proposed by dividing the above two scientific issues into five sub-problems: the evolution of power system structure and its forecasting model;a multi-objective planning method for AC/DC transmission network with a high proportion of renewable energy generation;the distribution system planning with a high proportion of renewable energy generation;the stability analysis of power electronics dominated power systems;the cooperative optimal operation theory of AC-DC hybrid power system with a high proportion of renewable energy generation.The relationship among the five sub-problems is described.Finally, key technologies for future power systems with a high proportion of renewable energy generation are provided and prospected.

关键词

高比例可再生能源/电力系统规划/优化运行/稳定分析/负荷预测/输电网/配电网

Key words

high proportion of renewable energy/power system planning/optimal operation/stability analysis/load forecasting/transmission network/distribution network

引用本文复制引用

康重庆,姚良忠..高比例可再生能源电力系统的关键科学问题与理论研究框架[J].电力系统自动化,2017,41(9):1-11,11.

基金项目

国家重点研发计划资助项目(2016YFB0900100).This work is supported by National Key Research and Development Program of China (No.2016YFB0900100). (2016YFB0900100)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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