Fractional-order modeling and sliding mode control of energy-saving and emission-reduction dynamic evolution system

被引:13
作者
Huang, Sunhua [1 ,2 ]
Zhou, Bin [1 ,2 ]
Li, Canbing [1 ,2 ]
Wu, Qiuwei [3 ]
Xia, Shiwei [4 ]
Wang, Huaizhi [5 ]
Yang, Hanyu [1 ]
机构
[1] Hunan Univ, Hunan Key Lab Intelligent Informat Anal & Integra, Changsha 410082, Hunan, Peoples R China
[2] Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China
[3] Tech Univ Denmark, Dept Elect Engn, DK-2800 Lyngby, Denmark
[4] North China Elect Power Univ, Sch Elect & Elect Engn, Beijing 102206, Peoples R China
[5] Shenzhen Univ, Coll Mechatron & Control Engn, Shenzhen 518060, Peoples R China
基金
中国国家自然科学基金; 湖南省自然科学基金;
关键词
Energy saving; Emission reduction; Fractional order; Renewable energy; Sliding-mode control; CO2; EMISSIONS; ECONOMIC-GROWTH; CARBON TAX; CHINA; PERFORMANCE; CONSUMPTION; STABILITY;
D O I
10.1016/j.ijepes.2018.02.045
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper proposes the fractional-order modeling for sliding mode control of a complex four-dimensional energy-saving and emission-reduction system (ESERS). In the proposed methodology, the fractional calculus techniques are employed to accurately model the dynamics of the ESERS, and the fractional-order model of the energy-saving and emission-reduction system (FOESERS) is formulated. With the proposed FOESERS, all of the equilibrium points and the corresponding eigenvalues are obtained, and the instability region and the state trajectories of FOESERS are also given. The FOESERS can represent complex dynamic behaviours with chaotic and unstable states on the energy conservation, carbon emissions, economic growth, and renewable energy development, and have a great impact on the formulation of government energy policies. Furthermore, based on the fractional Lyapunov stability and robust control theory, a sliding-mode controller is designed to control the FOESERS with model uncertainties and external disturbances to the equilibrium point in the finite time. Finally, simulation results confirm the effectiveness and robustness of the proposed scheme.
引用
收藏
页码:400 / 410
页数:11
相关论文
共 35 条
[1]   Stabilisation of unknown fractional-order chaotic systems: an adaptive switching control strategy with application to power systems [J].
Aghababa, Mohammad Pourmahmood ;
Haghighi, Ahmad Reza ;
Roohi, Majid .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2015, 9 (14) :1883-1893
[2]   Fractional modeling and control of a complex nonlinear energy supply-demand system [J].
Aghababa, Mohammad Pourmahmood .
COMPLEXITY, 2015, 20 (06) :74-86
[3]   A Way to Exploit the Fractional Stability Domain for Robust Chaos Suppression and Synchronization via LMIs [J].
Aguiar, Braulio ;
Gonzalez, Temoatzin ;
Bernal, Miguel .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2016, 61 (10) :2796-2807
[4]   A review on boilers energy use, energy savings, and emissions reductions [J].
Barma, M. C. ;
Saidur, R. ;
Rahman, S. M. A. ;
Allouhi, A. ;
Akash, B. A. ;
Sait, Sadiq M. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 79 :970-983
[5]   Dynamics of the fractional-order chaotic PMSG, its stabilisation using predictive control and circuit validation [J].
Borah, Manashita ;
Roy, Binoy K. .
IET ELECTRIC POWER APPLICATIONS, 2017, 11 (05) :707-716
[6]   Fossil energy saving and CO2 emissions reduction performance, and dynamic change in performance considering renewable energy input [J].
Chen, Weidong ;
Geng, Wenxin .
ENERGY, 2017, 120 :283-292
[7]   Fossil fuel and CO2 emissions savings on a high renewable electricity system - A single year case study for Ireland [J].
Clancy, J. M. ;
Gaffney, F. ;
Deane, J. P. ;
Curtis, J. ;
Gallachoir, B. P. O. .
ENERGY POLICY, 2015, 83 :151-164
[8]   Finite-time convergence robust control of battery energy storage system to mitigate wind power fluctuations [J].
Deng, Zicong ;
Xu, Yinliang ;
Gu, Wei ;
Fei, Zhongyang .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2017, 91 :144-154
[9]   The effect of energy construction adjustment on the dynamical evolution of energy-saving and emission-reduction system in China [J].
Fang, Guochang ;
Tian, Lixin ;
Fu, Min ;
Sun, Mei ;
Du, Ruijin ;
Lu, Longxi ;
He, Yu .
APPLIED ENERGY, 2017, 196 :180-189
[10]   Investigating carbon tax pilot in YRD urban agglomerations-Analysis of a novel ESER system with carbon tax constraints and its application [J].
Fang, Guochang ;
Tian, Lixin ;
Fu, Min ;
Sun, Mei ;
Du, Ruijin ;
Liu, Menghe .
APPLIED ENERGY, 2017, 194 :635-647