Bi-level Optimal Scheduling of Demand Response Integrated Energy Hub Through Cost and Exergy Assessments

被引：0
作者：
Guo, Zun [1 ]
Yao, Shangrun [1 ]
Gu, Jiting [2 ]
Xu, Chenbo [2 ]
Li, Gengyin [1 ]
Zhou, Ming [1 ]
机构：
[1] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Beijing, Peoples R China
[2] State Grid Zhejiang Elect Power Co Econ & Technol, Hangzhou, Zhejiang, Peoples R China
来源：
2018 2ND IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2) | 2018年
基金：
国家重点研发计划;
关键词：
energy hub; steam injected gas turbine; exergy; demand response; OPERATION OPTIMIZATION; SYSTEM;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Energy hub has gained its popularity recently in describing the multi-energy complements in integrated energy systems. In this paper, a novel bi-level optimal scheduling model for a demand response integrated energy hub is established aiming at a balance between cost analysis and exergy assessment. A modified steam injected gas turbine structure is introduced to flexibly transit working status according to demand changes. The Karush-Kuhn-Tucker condition and big M method are applied to transform the nonlinear model to a mixed integer linear programming problem, which can be easily solved by commercial solvers. Case study of a smart multi-energy building demonstrates the effectiveness of the proposed model. Results show that the scheduling method in this paper enables significant reduction in the total operating costs and improvement of the overall exergy efficiency. Besides, the modification of energy converting device and application of interruptible load effectively alleviate energy supply pressure of distributed power grid and increase the service life of energy storage devices.
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页数：6
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