申建建

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:水利工程系

学科:水文学及水资源. 水利水电工程

办公地点:大连理工大学综合实验3号楼427(主楼后面)

联系方式:办公电话:0411-84708468 通讯地址:辽宁大连高新园区凌工路2号大连理工大学综合实验3号楼427 邮政编码:116024

电子邮箱:shenjj@dlut.edu.cn

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Optimization of Large-Scale Daily Hydrothermal System Operations With Multiple Objectives

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论文类型:期刊论文

发表时间:2018-04-01

发表刊物:WATER RESOURCES RESEARCH

收录刊物:SCIE

卷号:54

期号:4

页面范围:2834-2850

ISSN号:0043-1397

摘要:This paper proposes a practical procedure for optimizing the daily operation of a large-scale hydrothermal system. The overall procedure optimizes a monthly model over a period of 1 year and a daily model over a period of up to 1 month. The outputs from the monthly model are used as inputs and boundary conditions for the daily model. The models iterate and update when new information becomes available. The monthly hydrothermal model uses nonlinear programing (NLP) to minimize fuel costs, while maximizing hydropower production. The daily model consists of a hydro model, a thermal model, and a combined hydrothermal model. The hydro model and thermal model generate the initial feasible solutions for the hydrothermal model. The two competing objectives considered in the daily hydrothermal model are minimizing fuel costs and minimizing thermal emissions. We use the constraint method to develop the trade-off curve (Pareto front) between these two objectives. We apply the proposed methodology on the Yunnan hydrothermal system in China. The system consists of 163 individual hydropower plants with an installed capacity of 48,477 MW and 11 individual thermal plants with an installed capacity of 12,400 MW. We use historical operational records to verify the correctness of the model and to test the robustness of the methodology. The results demonstrate the practicability and validity of the proposed procedure.