An augmented group search optimization algorithm for optimal cooling-load dispatch in multi-chiller plants
•AGSO algorithm is proposed and implemented on economic cooling-load dispatch of multi-chiller plants.•Energy-saving capability of AGSO based OCL strategy is proved.•Numerical results of AGSO approach are compared with best solutions of recently published algorithms.•AGSO with fast convergence finds...
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| Published in: | Computers & electrical engineering Vol. 85; pp. 106434 - 12 |
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| Format: | Journal Article |
| Language: | English |
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| Abstract | •AGSO algorithm is proposed and implemented on economic cooling-load dispatch of multi-chiller plants.•Energy-saving capability of AGSO based OCL strategy is proved.•Numerical results of AGSO approach are compared with best solutions of recently published algorithms.•AGSO with fast convergence finds better solutions in lower calculation times.
Improper operation of a multi-chiller plant would significantly increase associated electric consumption. This paper introduces a new model to determine the optimal loading point of the chillers. To do so, optimal dispatching of multi-chiller plant is expressed as an optimization problem and associated constraints are all together accommodated in the process of optimization. The problem is tackled by a new version of a metaheuristics approach. The proposed approach is entitled as augmented group search optimization (AGSO) algorithm, which is devised to avoid drawbacks of conventional group search optimization algorithm such as trapping in the local minima. The effectiveness and robustness of the proposed approach in comparison with available methods are studied through three well-known test cases. Numerical results demonstrate that AGSO with its strong exploration capability achieves a lower energy consumption than that of recently published methods with higher convergence speed. |
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| AbstractList | Improper operation of a multi-chiller plant would significantly increase associated electric consumption. This paper introduces a new model to determine the optimal loading point of the chillers. To do so, optimal dispatching of multi-chiller plant is expressed as an optimization problem and associated constraints are all together accommodated in the process of optimization. The problem is tackled by a new version of a metaheuristics approach. The proposed approach is entitled as augmented group search optimization (AGSO) algorithm, which is devised to avoid drawbacks of conventional group search optimization algorithm such as trapping in the local minima. The effectiveness and robustness of the proposed approach in comparison with available methods are studied through three well-known test cases. Numerical results demonstrate that AGSO with its strong exploration capability achieves a lower energy consumption than that of recently published methods with higher convergence speed. •AGSO algorithm is proposed and implemented on economic cooling-load dispatch of multi-chiller plants.•Energy-saving capability of AGSO based OCL strategy is proved.•Numerical results of AGSO approach are compared with best solutions of recently published algorithms.•AGSO with fast convergence finds better solutions in lower calculation times. Improper operation of a multi-chiller plant would significantly increase associated electric consumption. This paper introduces a new model to determine the optimal loading point of the chillers. To do so, optimal dispatching of multi-chiller plant is expressed as an optimization problem and associated constraints are all together accommodated in the process of optimization. The problem is tackled by a new version of a metaheuristics approach. The proposed approach is entitled as augmented group search optimization (AGSO) algorithm, which is devised to avoid drawbacks of conventional group search optimization algorithm such as trapping in the local minima. The effectiveness and robustness of the proposed approach in comparison with available methods are studied through three well-known test cases. Numerical results demonstrate that AGSO with its strong exploration capability achieves a lower energy consumption than that of recently published methods with higher convergence speed. |
| ArticleNumber | 106434 |
| Author | Teimourzadeh, Hamid Mohammadi-Ivatloo, Behnam Jabari, Farkhondeh |
| Author_xml | – sequence: 1 givenname: Hamid surname: Teimourzadeh fullname: Teimourzadeh, Hamid email: hteimour96@ms.tabrizu.ac.ir organization: Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran – sequence: 2 givenname: Farkhondeh orcidid: 0000-0003-2671-7109 surname: Jabari fullname: Jabari, Farkhondeh email: f.jabari@tabrizu.ac.ir organization: Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran – sequence: 3 givenname: Behnam surname: Mohammadi-Ivatloo fullname: Mohammadi-Ivatloo, Behnam email: bmohammadi@tabrizu.ac.ir, mohammadibehnam@duytan.edu.vn organization: Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran |
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| Cites_doi | 10.1016/j.ijrefrig.2019.03.040 10.1016/j.energy.2012.10.058 10.1016/j.energy.2014.07.060 10.1016/j.applthermaleng.2015.03.057 10.1016/j.enconman.2004.10.012 10.1016/j.apenergy.2009.05.004 10.1016/j.enbuild.2012.11.030 10.1016/j.applthermaleng.2018.11.122 10.1016/j.enbuild.2013.04.030 10.1016/j.enconman.2008.08.036 10.1016/j.enbuild.2018.04.046 10.1016/j.applthermaleng.2005.02.010 10.1016/j.enbuild.2017.12.020 10.1016/j.applthermaleng.2018.12.121 10.1016/j.applthermaleng.2016.02.114 10.1016/j.applthermaleng.2016.01.155 10.1109/TEVC.2009.2011992 10.1016/j.jclepro.2004.11.002 10.1016/j.enbuild.2004.06.002 10.1016/j.energy.2005.10.018 10.1016/j.enbuild.2010.10.028 10.1016/j.epsr.2012.07.009 |
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| Keywords | Augmented group search optimization (AGSO) algorithm Economic cooling-load dispatch Multiple-chiller grid Electrical power consumption |
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| Snippet | •AGSO algorithm is proposed and implemented on economic cooling-load dispatch of multi-chiller plants.•Energy-saving capability of AGSO based OCL strategy is... Improper operation of a multi-chiller plant would significantly increase associated electric consumption. This paper introduces a new model to determine the... |
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| SubjectTerms | Algorithms Augmented group search optimization (AGSO) algorithm Chillers Economic cooling-load dispatch Electrical power consumption Energy consumption Multiple-chiller grid Optimization Optimization algorithms Robustness (mathematics) Searching |
| Title | An augmented group search optimization algorithm for optimal cooling-load dispatch in multi-chiller plants |
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