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基于时序仿真的新能源消纳能力分析及其低碳效益评估

曹阳 李鹏 袁越 张新松 郭思琪 张程飞

电力系统自动化Issue(17):60-66,7.
电力系统自动化Issue(17):60-66,7.DOI:10.7500/AEPS20140329002

基于时序仿真的新能源消纳能力分析及其低碳效益评估

Analysis on Accommodating Capability of Renewable Energy and Assessment on Low-carbon Benefits Based on Time Sequence Simulation

曹阳 1李鹏 2袁越 3张新松 1郭思琪 1张程飞1

作者信息

  • 1. 河海大学能源与电气学院,江苏省南京市 211100
  • 2. 中国电力科学研究院,北京市 100192
  • 3. 中国电力科学研究院,北京市 100192
  • 折叠

摘要

Abstract

Proceeding from the accommodating capability of renewable energy,some key factors that affect low-carbon benefits resulting from renewable energy integration are analyzed,and an index of curtailment rate of renewable energy is utilized to measure low-carbon benefits.Based on this,an annual sequence production simulation model with large-scale wind power and photovoltaic(PV) power is proposed,which takes into account wind power and PV power output characteristics,load characteristics,load regulation characteristics of units,thermoelectric coupling characteristics of heating units,transmission capacity and some other factors.This mixed integer programming model is solved by the branch and bound method.With a certain provincial power grid as an example,the factors influencing grid low-carbon economy are quantitatively analyzed.The rationality of the model proposed and the correctness of theoretical analysis are verified by the results of calculation,which is of great guiding significance to electrical source planning and the formulation of relevant government policies required by low-carbon economy.

关键词

时序仿真/低碳效益/新能源消纳/新能源限电率/分支界定法

Key words

time sequence simulation/low-carbon benefits/renewable energy accommodation/curtailment rate of renewable energy/branch and bound method

引用本文复制引用

曹阳,李鹏,袁越,张新松,郭思琪,张程飞..基于时序仿真的新能源消纳能力分析及其低碳效益评估[J].电力系统自动化,2014,(17):60-66,7.

基金项目

国家科技支撑计划资助项目(2013BAA02B01) (2013BAA02B01)

国家电网公司科技项目“新能源发电接纳能力评估分析平台研发与示范应用”。This work is supported by National Key Technologies R&D Program of China (No.2013BAA02B01) and State Grid Corporation of China (No.2013BAA02B01)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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