Optimal Planning and Operation of CCHP System Considering Renewable Energy Integration and Seawater Desalination

被引：13

作者：

Chen, Peiyu ^{[1
]}

Lan, Yu ^{[2
]}

Wang, Dan ^{[2
]}

Wang, Weiliang ^{[2
]}

Liu, Weikang ^{[2
]}

Chong, Zhicliang ^{[1
]}

Wang, Xudong ^{[1
]}

机构：

[1] State Grid Tianjin Elect Power Co, Elect Power Res Inst, Tianjin 300384, Peoples R China

[2] Tianjin Univ, Key Lab Smart Grid, Minist Educ, Tianjin 300072, Peoples R China

来源：

INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS | 2019年 / 158卷

关键词：

CCHP system; desalination; renewable energy; WIND;

D O I：

10.1016/j.egypro.2019.01.112

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：

The combined operation of renewable energy and seawater desalination equipment will be the directions of the cleaner freshwater producing technology in the future. A CCHP system that includes wind turbine, photovoltaic, combined heating and power (CHP) and seawater desalination is built in the paper. Based on load characteristics of seawater desalination devices and other critical equipment and characteristics of renewable energy, the optimal planning and operation strategies of CCHP system is discussed by considering economical and environmental benefits, the electric cooling ratio and the capacity of critical equipment are optimized by considering capital cost, operation cost and maintenance cost, energy cost and equivalent carbon tax Simulation and analysis result verifies the feasibility of the proposed planning and operation strategies that the total cost and CO2 emission reduced. (C) 2019 The Authors. Published by Elsevier Ltd.

引用

页码：6490 / 6495

页数：6

共 9 条

[1] Design and optimization of desalination reverse osmosis plants driven by renewable energies using genetic algorithms [J].

Bourouni, K. ;

Ben M'Barek, T. ;

Al Taee, A. .

RENEWABLE ENERGY, 2011, 36 (03) :936-950

[2] Design optimization of desalination systems power-supplied by PV and W/G energy sources [J].

Koutroulis, E. ;

Kolokotsa, D. .

DESALINATION, 2010, 258 (1-3) :171-181

[3]

Liu M.X., 2010, J AUTOMATION ELECT P, V36, P34

[4] Uncertainty modeling in optimal operation of energy hub in presence of wind, storage and demand response [J].

Pazouki, Samaneh ;

Haghifam, Mahmoud-Reza ;

Moser, Albert .

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2014, 61 :335-345

[5] Modeling a novel CCHP system including solar and wind renewable energy resources and sizing by a CC-MOPSO algorithm [J].

Soheyli, Saman ;

Mayam, Mohamad Hossein Shafiei ;

Mehrjoo, Mehri .

APPLIED ENERGY, 2016, 184 :375-395

[6]

[王伟亮 Wang Weiliang], 2016, [中国电机工程学报, Proceedings of the Chinese Society of Electrical Engineering], V36, P3292

[7] Adaptive sliding mode control for a class of uncertain discrete-time systems using multi-rate output measurement [J].

Yoshimura, Toshio .

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2012, 43 (02) :211-219

[8]

[张建华 Zhang Jianhua], 2014, [电工技术学报, Transactions of China Electrotechnical Society], V29, P102

[9]

[赵波 Zhao Bo], 2013, [电力系统自动化, Automation of Electric Power Systems], V37, P21

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