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摘要:
Energy management is facing new challenges due to the increasing supply and demand uncertainties,which is caused by the integration of variable generation resources,inaccurate load forecasts and non-linear efficiency curves.To meet these challenges,a robust optimization method incorporating piecewise linear thermal and electrical efficiency curve is proposed to accommodate the uncertainties of cooling,thermal and electrical load,as well as photovoltaic(PV)output power.Case study results demonstrate that the robust optimization model performs better than the deterministic optimization model in terms of the expected operation cost.The fluctuation of net electrical load has greater effect on the dispatching results of the combined cooling,heating and power(CCHP)microgrid than the fluctuation of the cooling and thermal load.The day-ahead schedule is greatly affected by the uncertainty budget of the load demand.The economy of the optimal decision could be achieved by adjusting different uncertainty budget levels according to control the conservatism of the model.
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德国版智能电网“E-Energy”
智能电网
E-Energy
能源互联网
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CCHP系统中余热优化分析
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夹点技术
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篇名 A robust optimization method for energy management of CCHP microgrid
来源期刊 现代电力系统与清洁能源学报(英文) 学科 工学
关键词 Combined COOLING Heating and power(CCHP) MICROGRID PIECEWISE linear ROBUST optimization UNCERTAINTY
年,卷(期) 2018,(1) 所属期刊栏目
研究方向 页码范围 132-144
页数 13页 分类号 TM73
字数 语种
DOI
五维指标
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研究主题发展历程
节点文献
Combined
COOLING
Heating
and
power(CCHP)
MICROGRID
PIECEWISE
linear
ROBUST
optimization
UNCERTAINTY
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
现代电力系统与清洁能源学报(英文)
双月刊
2196-5625
32-1884/TK
No. 19 Chengxin Aven
出版文献量(篇)
386
总下载数(次)
0
总被引数(次)
0
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