A robust optimization method for energy management of CCHP microgrid

被引：1

作者：

Zhao LUO ^{[1
]}

Wei GU ^{[1
]}

Zhi WU ^{[1
,2
]}

Zhihe WANG ^{[1
]}

Yiyuan TANG ^{[1
]}

机构：

[1] School of Electrical Engineering, Southeast University

[2] School of Electronic, Electrical and Systems Engineering,University of Birmingham

来源：

JournalofModernPowerSystemsandCleanEnergy | 2018年 / 6卷 / 01期

基金：

美国国家科学基金会;

关键词：

Combined cooling; Heating and power(CCHP); Microgrid; Piecewise linear; Robust optimization; Uncertainty;

D O I：

暂无

中图分类号：

TM73 [电力系统的调度、管理、通信];

学科分类号：

080802 ;

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.

引用

页码：132 / 144

页数：13

共 29 条

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