Distributed event-triggered algorithms for a class of convex optimization problems over directed networks
This paper presents two distributed event-triggered algorithms under directed communication networks to solve a class of convex optimization problems such as the economic dispatch problem (EDP) with equality constraint, while the objective of optimization is the sum of all locally convex functions....
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| Vydáno v: | Automatica (Oxford) Ročník 122; s. 109256 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier Ltd
01.12.2020
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| ISSN: | 0005-1098, 1873-2836 |
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| Abstract | This paper presents two distributed event-triggered algorithms under directed communication networks to solve a class of convex optimization problems such as the economic dispatch problem (EDP) with equality constraint, while the objective of optimization is the sum of all locally convex functions. One is distributed continuous-time event-triggered optimization algorithm, and the other is discrete-time algorithm based on iteration scheme. Continuous communication is not required by adopting event-triggered communication strategy. It means that the communication cost can be reduced and unnecessary waste of network resources can be avoided. Moreover, the convergence for the proposed algorithms are rigorously proved with the aid of Lyapunov stability theory under the strongly connected and weight-balanced network topology. Finally, four numerical simulations show the effectiveness and advantages of the two novel distributed event-triggered optimization algorithms. |
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| AbstractList | This paper presents two distributed event-triggered algorithms under directed communication networks to solve a class of convex optimization problems such as the economic dispatch problem (EDP) with equality constraint, while the objective of optimization is the sum of all locally convex functions. One is distributed continuous-time event-triggered optimization algorithm, and the other is discrete-time algorithm based on iteration scheme. Continuous communication is not required by adopting event-triggered communication strategy. It means that the communication cost can be reduced and unnecessary waste of network resources can be avoided. Moreover, the convergence for the proposed algorithms are rigorously proved with the aid of Lyapunov stability theory under the strongly connected and weight-balanced network topology. Finally, four numerical simulations show the effectiveness and advantages of the two novel distributed event-triggered optimization algorithms. |
| ArticleNumber | 109256 |
| Author | Chen, Weisheng Dai, Hao Fang, Xinpeng |
| Author_xml | – sequence: 1 givenname: Hao surname: Dai fullname: Dai, Hao email: hdai@xidian.edu.cn – sequence: 2 givenname: Xinpeng surname: Fang fullname: Fang, Xinpeng email: xinpengfang@163.com – sequence: 3 givenname: Weisheng surname: Chen fullname: Chen, Weisheng email: wshchen@126.com |
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| Cites_doi | 10.1016/j.epsr.2009.02.005 10.1109/TII.2015.2479558 10.1109/TSG.2017.2756041 10.1016/j.automatica.2015.05.014 10.1016/j.automatica.2016.08.007 10.1109/59.99376 10.1016/j.ejcon.2014.10.001 10.1109/TNNLS.2017.2691760 10.1016/j.arcontrol.2019.05.006 10.1109/TIE.2016.2617832 10.1016/j.sysconle.2015.06.006 10.1109/TPWRS.2017.2702179 10.1016/j.ijepes.2012.07.038 10.1016/j.automatica.2018.05.032 10.1109/TSG.2015.2434831 10.1109/TPWRS.2014.2299436 10.1016/j.neucom.2017.12.060 10.1561/2200000016 10.1109/PESGM.2012.6345156 10.1016/j.automatica.2016.07.003 10.1109/TPWRS.2009.2030293 10.1145/984622.984626 10.1109/TPWRS.2014.2376935 10.1109/TPWRS.2013.2271640 10.1109/TSG.2017.2699084 10.1016/j.physleta.2010.07.059 |
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| Keywords | Directed network topology Convex optimization Event-triggered communication Distributed algorithm Equality constraint |
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| References | Guo, Wen, Mao, Song (b11) 2016; 7 Li, Elia (b13) 2015; 58 Kar, S., & Hug, G. 2012. Distributed robust economic dispatch in power systems: A consensus + innovations approach. In Chen, Ren, Feng (b6) 2017; 8 Yang, Tan, Xu (b27) 2013; 28 Tsianos, Lawlor, Rabbat (b21) 2012 Binetti, Davoudi, Lewis, Naso, Turchiano (b2) 2014; 29 Yang, Yi, Wu, Yuan, Wu, Meng (b28) 2019; 47 Fridman (b10) 2014; 20 Abido (b1) 2009; 79 Xing, Mou, M.Y. Fu, Lin (b24) 2015; 30 Yang, Lu, Wu, Wu, Shi, Meng, Johansson (b26) 2017; 64 Park, Jeong, Shin, Lee (b17) 2010; 25 Rabbat, M., & Nowak, R. 2004. Distributed optimization in sensor networks. In Yi, Hong, Liu (b29) 2015; 83 Li, Zhang, Wu, Wang (b16) 2019; 10 Xue, Ma, Sheng, Bi (b25) 2009; 9 Chen, Li (b5) 2018; 95 Li, Yu, Huang, He (b14) 2018; 29 (b4) 2004 Chen, Zhao (b7) 2018; 33 Wu, Lu (b23) 2010; 374 . Chowdhury, Rahman (b8) 1990; 5 Sashirekha, Pasupuleti, Moin, Tan (b20) 2013; 44 Zhao, Chen, Dai (b31) 2018; 284 Boyd, Parikh, Chu, Peleato, Eckstein (b3) 2010; 3 Weng, Yue, Huang (b22) 2017 Li, Yu, Yu, Huang, Liu (b15) 2016; 12 Cortés (b9) 2016; 74 Yi, Hong, Liu (b30) 2016; 74 Pourbabak, Luo, Chen, Su (b18) 2018; 9 Cortés (10.1016/j.automatica.2020.109256_b9) 2016; 74 Park (10.1016/j.automatica.2020.109256_b17) 2010; 25 Xue (10.1016/j.automatica.2020.109256_b25) 2009; 9 Sashirekha (10.1016/j.automatica.2020.109256_b20) 2013; 44 Weng (10.1016/j.automatica.2020.109256_b22) 2017 Li (10.1016/j.automatica.2020.109256_b14) 2018; 29 Abido (10.1016/j.automatica.2020.109256_b1) 2009; 79 Fridman (10.1016/j.automatica.2020.109256_b10) 2014; 20 Yang (10.1016/j.automatica.2020.109256_b26) 2017; 64 Chen (10.1016/j.automatica.2020.109256_b6) 2017; 8 Yi (10.1016/j.automatica.2020.109256_b29) 2015; 83 Li (10.1016/j.automatica.2020.109256_b15) 2016; 12 10.1016/j.automatica.2020.109256_b19 Tsianos (10.1016/j.automatica.2020.109256_b21) 2012 Binetti (10.1016/j.automatica.2020.109256_b2) 2014; 29 Boyd (10.1016/j.automatica.2020.109256_b3) 2010; 3 10.1016/j.automatica.2020.109256_b12 Chen (10.1016/j.automatica.2020.109256_b5) 2018; 95 (10.1016/j.automatica.2020.109256_b4) 2004 Xing (10.1016/j.automatica.2020.109256_b24) 2015; 30 Zhao (10.1016/j.automatica.2020.109256_b31) 2018; 284 Chen (10.1016/j.automatica.2020.109256_b7) 2018; 33 Li (10.1016/j.automatica.2020.109256_b13) 2015; 58 Guo (10.1016/j.automatica.2020.109256_b11) 2016; 7 Wu (10.1016/j.automatica.2020.109256_b23) 2010; 374 Chowdhury (10.1016/j.automatica.2020.109256_b8) 1990; 5 Pourbabak (10.1016/j.automatica.2020.109256_b18) 2018; 9 Yang (10.1016/j.automatica.2020.109256_b27) 2013; 28 Yi (10.1016/j.automatica.2020.109256_b30) 2016; 74 Yang (10.1016/j.automatica.2020.109256_b28) 2019; 47 Li (10.1016/j.automatica.2020.109256_b16) 2019; 10 |
| References_xml | – volume: 8 start-page: 822 year: 2017 end-page: 832 ident: b6 article-title: Distributed finite-time economic dispatch of a network of energy resources publication-title: IEEE Transactions on Smart Grid – volume: 95 start-page: 539 year: 2018 end-page: 543 ident: b5 article-title: A fixed-time convergent algorithm for distributed convex optimization in multi-agent systems publication-title: Automatica – volume: 74 start-page: 183 year: 2016 end-page: 193 ident: b9 article-title: Initialization-free distributed coordination for economic dispatch under varying loads and generator commitment publication-title: Automatica – volume: 3 start-page: 1 year: 2010 end-page: 122 ident: b3 article-title: Distributed optimization and statistical learning via the alternating direction method of multipliers publication-title: Foundations & Trends in Machine Learning – volume: 20 start-page: 271 year: 2014 end-page: 283 ident: b10 article-title: Tutorial on Lyapunov-based methods for time-delay systems. publication-title: European Journal of Control – volume: 33 start-page: 602 year: 2018 end-page: 612 ident: b7 article-title: Delay effects on consensus-based distributed economic dispatch algorithm in microgrid publication-title: IEEE Transactions on Power Systems – volume: 374 start-page: 3932 year: 2010 end-page: 3941 ident: b23 article-title: Generalized projective synchronization between two different general complex dynamical networks with delayed coupling publication-title: Physics Letters A – volume: 7 start-page: 1572 year: 2016 end-page: 1583 ident: b11 article-title: Distributed economic dispatch for smart grids with random wind power publication-title: IEEE Transactions on Smart Grid – year: 2004 ident: b4 publication-title: Convex optimization – reference: Kar, S., & Hug, G. 2012. Distributed robust economic dispatch in power systems: A consensus + innovations approach. In – volume: 10 start-page: 941 year: 2019 end-page: 954 ident: b16 article-title: Consensus-based distributed economic dispatch control method in power systems publication-title: IEEE Transactions on Smart Grid – year: 2012 ident: b21 article-title: Consensus-based distributed optimization: Practical issues and applications in large-scale machine learning publication-title: Communication, control & computing – volume: 64 start-page: 5095 year: 2017 end-page: 5106 ident: b26 article-title: A distributed algorithm for economic dispatch over time-varying directed networks with delays publication-title: IEEE Transactions on Industrial Electronics – volume: 28 start-page: 4416 year: 2013 end-page: 4426 ident: b27 article-title: Consensus based approach for economic dispatch problem in a smart grid publication-title: IEEE Transactions on Power Systems – volume: 9 start-page: 5930 year: 2018 end-page: 5942 ident: b18 article-title: A novel consensus-based distributed algorithm for economic dispatch based on local estimation of power mismatch publication-title: IEEE Transactions on Smart Grid – volume: 29 start-page: 1711 year: 2014 end-page: 1720 ident: b2 article-title: Distributed consensus-based economic dispatch with transmission losses publication-title: IEEE Transactions on Power Systems – volume: 47 start-page: 278 year: 2019 end-page: 305 ident: b28 article-title: A survey of distributed optimization publication-title: Annual Reviews in Control – volume: 12 start-page: 1775 year: 2016 end-page: 1785 ident: b15 article-title: Distributed event-triggered scheme for economic dispatch in smart grids publication-title: IEEE Transactions on Industrial Informatics – volume: 284 start-page: 90 year: 2018 end-page: 98 ident: b31 article-title: Distributed event-triggered scheme for a convex optimization problem in multi-agent systems publication-title: Neurocomputing – volume: 9 start-page: 73 year: 2009 end-page: 86 ident: b25 article-title: Distributed energy optimization for target tracking in wireless sensor networks publication-title: IEEE Transactions on Mobile Computing – volume: 83 start-page: 45 year: 2015 end-page: 52 ident: b29 article-title: Distributed gradient algorithm for constrained optimization with application to load sharing in power systems publication-title: Systems & Control Letters – volume: 44 start-page: 421 year: 2013 end-page: 430 ident: b20 article-title: Combined heat and power (CHP) economic dispatch solved using Lagrangian; relaxation with surrogate subgradient multiplier updates publication-title: International Journal of Electrical Power & Energy Systems – reference: . – volume: 25 start-page: 156 year: 2010 end-page: 166 ident: b17 article-title: An improved particle swarm optimization for nonconvex economic dispatch problems publication-title: IEEE Transactions on Power Systems – volume: 29 start-page: 2407 year: 2018 end-page: 2418 ident: b14 article-title: Distributed optimal consensus over resource allocation network and its application to dynamical economic dispatch publication-title: IEEE Transactions on Neural Networks & Learning Systems – volume: 5 start-page: 1248 year: 1990 end-page: 1259 ident: b8 article-title: A review of recent advances in economic dispatch publication-title: IEEE Transactions on Power Systems – volume: 79 start-page: 1105 year: 2009 end-page: 1113 ident: b1 article-title: Multiobjective particle swarm optimization for environmental/economic dispatch problem publication-title: Electric Power Systems Research – volume: 58 start-page: 173 year: 2015 end-page: 182 ident: b13 article-title: Stochastic sensor scheduling via distributed convex optimization publication-title: Automatica – volume: 74 start-page: 259 year: 2016 end-page: 269 ident: b30 article-title: Initialization-free distributed algorithms for optimal resource allocation with feasibility constraints and application to economic dispatch of power systems publication-title: Automatica – reference: Rabbat, M., & Nowak, R. 2004. Distributed optimization in sensor networks. In – volume: 30 start-page: 3024 year: 2015 end-page: 3035 ident: b24 article-title: Distributed bisection method for economic power dispatch in smart grid publication-title: IEEE Transactions on Power Systems – start-page: 596 year: 2017 end-page: 603 ident: b22 article-title: Distributed economic dispatch based on consensus algorithm under event-triggered mechanism publication-title: Intelligent computing, networked control, and their engineering applications – volume: 79 start-page: 1105 issue: 7 year: 2009 ident: 10.1016/j.automatica.2020.109256_b1 article-title: Multiobjective particle swarm optimization for environmental/economic dispatch problem publication-title: Electric Power Systems Research doi: 10.1016/j.epsr.2009.02.005 – volume: 12 start-page: 1775 issue: 5 year: 2016 ident: 10.1016/j.automatica.2020.109256_b15 article-title: Distributed event-triggered scheme for economic dispatch in smart grids publication-title: IEEE Transactions on Industrial Informatics doi: 10.1109/TII.2015.2479558 – volume: 10 start-page: 941 issue: 1 year: 2019 ident: 10.1016/j.automatica.2020.109256_b16 article-title: Consensus-based distributed economic dispatch control method in power systems publication-title: IEEE Transactions on Smart Grid doi: 10.1109/TSG.2017.2756041 – volume: 58 start-page: 173 year: 2015 ident: 10.1016/j.automatica.2020.109256_b13 article-title: Stochastic sensor scheduling via distributed convex optimization publication-title: Automatica doi: 10.1016/j.automatica.2015.05.014 – volume: 74 start-page: 259 year: 2016 ident: 10.1016/j.automatica.2020.109256_b30 article-title: Initialization-free distributed algorithms for optimal resource allocation with feasibility constraints and application to economic dispatch of power systems publication-title: Automatica doi: 10.1016/j.automatica.2016.08.007 – volume: 5 start-page: 1248 issue: 4 year: 1990 ident: 10.1016/j.automatica.2020.109256_b8 article-title: A review of recent advances in economic dispatch publication-title: IEEE Transactions on Power Systems doi: 10.1109/59.99376 – volume: 20 start-page: 271 issue: 6 year: 2014 ident: 10.1016/j.automatica.2020.109256_b10 article-title: Tutorial on Lyapunov-based methods for time-delay systems. publication-title: European Journal of Control doi: 10.1016/j.ejcon.2014.10.001 – volume: 29 start-page: 2407 issue: 6 year: 2018 ident: 10.1016/j.automatica.2020.109256_b14 article-title: Distributed optimal consensus over resource allocation network and its application to dynamical economic dispatch publication-title: IEEE Transactions on Neural Networks & Learning Systems doi: 10.1109/TNNLS.2017.2691760 – volume: 47 start-page: 278 year: 2019 ident: 10.1016/j.automatica.2020.109256_b28 article-title: A survey of distributed optimization publication-title: Annual Reviews in Control doi: 10.1016/j.arcontrol.2019.05.006 – volume: 64 start-page: 5095 issue: 6 year: 2017 ident: 10.1016/j.automatica.2020.109256_b26 article-title: A distributed algorithm for economic dispatch over time-varying directed networks with delays publication-title: IEEE Transactions on Industrial Electronics doi: 10.1109/TIE.2016.2617832 – volume: 83 start-page: 45 issue: 711 year: 2015 ident: 10.1016/j.automatica.2020.109256_b29 article-title: Distributed gradient algorithm for constrained optimization with application to load sharing in power systems publication-title: Systems & Control Letters doi: 10.1016/j.sysconle.2015.06.006 – volume: 33 start-page: 602 issue: 1 year: 2018 ident: 10.1016/j.automatica.2020.109256_b7 article-title: Delay effects on consensus-based distributed economic dispatch algorithm in microgrid publication-title: IEEE Transactions on Power Systems doi: 10.1109/TPWRS.2017.2702179 – volume: 44 start-page: 421 issue: 1 year: 2013 ident: 10.1016/j.automatica.2020.109256_b20 article-title: Combined heat and power (CHP) economic dispatch solved using Lagrangian; relaxation with surrogate subgradient multiplier updates publication-title: International Journal of Electrical Power & Energy Systems doi: 10.1016/j.ijepes.2012.07.038 – volume: 95 start-page: 539 year: 2018 ident: 10.1016/j.automatica.2020.109256_b5 article-title: A fixed-time convergent algorithm for distributed convex optimization in multi-agent systems publication-title: Automatica doi: 10.1016/j.automatica.2018.05.032 – volume: 7 start-page: 1572 issue: 3 year: 2016 ident: 10.1016/j.automatica.2020.109256_b11 article-title: Distributed economic dispatch for smart grids with random wind power publication-title: IEEE Transactions on Smart Grid doi: 10.1109/TSG.2015.2434831 – volume: 29 start-page: 1711 issue: 4 year: 2014 ident: 10.1016/j.automatica.2020.109256_b2 article-title: Distributed consensus-based economic dispatch with transmission losses publication-title: IEEE Transactions on Power Systems doi: 10.1109/TPWRS.2014.2299436 – year: 2012 ident: 10.1016/j.automatica.2020.109256_b21 article-title: Consensus-based distributed optimization: Practical issues and applications in large-scale machine learning – volume: 284 start-page: 90 year: 2018 ident: 10.1016/j.automatica.2020.109256_b31 article-title: Distributed event-triggered scheme for a convex optimization problem in multi-agent systems publication-title: Neurocomputing doi: 10.1016/j.neucom.2017.12.060 – volume: 3 start-page: 1 issue: 1 year: 2010 ident: 10.1016/j.automatica.2020.109256_b3 article-title: Distributed optimization and statistical learning via the alternating direction method of multipliers publication-title: Foundations & Trends in Machine Learning doi: 10.1561/2200000016 – ident: 10.1016/j.automatica.2020.109256_b12 doi: 10.1109/PESGM.2012.6345156 – start-page: 596 year: 2017 ident: 10.1016/j.automatica.2020.109256_b22 article-title: Distributed economic dispatch based on consensus algorithm under event-triggered mechanism – volume: 8 start-page: 822 issue: 2 year: 2017 ident: 10.1016/j.automatica.2020.109256_b6 article-title: Distributed finite-time economic dispatch of a network of energy resources publication-title: IEEE Transactions on Smart Grid – volume: 74 start-page: 183 year: 2016 ident: 10.1016/j.automatica.2020.109256_b9 article-title: Initialization-free distributed coordination for economic dispatch under varying loads and generator commitment publication-title: Automatica doi: 10.1016/j.automatica.2016.07.003 – volume: 25 start-page: 156 issue: 1 year: 2010 ident: 10.1016/j.automatica.2020.109256_b17 article-title: An improved particle swarm optimization for nonconvex economic dispatch problems publication-title: IEEE Transactions on Power Systems doi: 10.1109/TPWRS.2009.2030293 – volume: 9 start-page: 73 issue: 1 year: 2009 ident: 10.1016/j.automatica.2020.109256_b25 article-title: Distributed energy optimization for target tracking in wireless sensor networks publication-title: IEEE Transactions on Mobile Computing – year: 2004 ident: 10.1016/j.automatica.2020.109256_b4 – ident: 10.1016/j.automatica.2020.109256_b19 doi: 10.1145/984622.984626 – volume: 30 start-page: 3024 issue: 6 year: 2015 ident: 10.1016/j.automatica.2020.109256_b24 article-title: Distributed bisection method for economic power dispatch in smart grid publication-title: IEEE Transactions on Power Systems doi: 10.1109/TPWRS.2014.2376935 – volume: 28 start-page: 4416 issue: 4 year: 2013 ident: 10.1016/j.automatica.2020.109256_b27 article-title: Consensus based approach for economic dispatch problem in a smart grid publication-title: IEEE Transactions on Power Systems doi: 10.1109/TPWRS.2013.2271640 – volume: 9 start-page: 5930 issue: 6 year: 2018 ident: 10.1016/j.automatica.2020.109256_b18 article-title: A novel consensus-based distributed algorithm for economic dispatch based on local estimation of power mismatch publication-title: IEEE Transactions on Smart Grid doi: 10.1109/TSG.2017.2699084 – volume: 374 start-page: 3932 year: 2010 ident: 10.1016/j.automatica.2020.109256_b23 article-title: Generalized projective synchronization between two different general complex dynamical networks with delayed coupling publication-title: Physics Letters A doi: 10.1016/j.physleta.2010.07.059 |
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| SubjectTerms | Convex optimization Directed network topology Distributed algorithm Equality constraint Event-triggered communication |
| Title | Distributed event-triggered algorithms for a class of convex optimization problems over directed networks |
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