2017
DOI: 10.1016/j.apenergy.2016.08.146
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Coordinated scheduling strategy to optimize conflicting benefits for daily operation of integrated electricity and gas networks

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Cited by 84 publications
(33 citation statements)
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“…In [12,17], the efficiency of multiobjective group search optimizer with adaptive covariance and Lévy flights (MGSO-ACL) algorithm has been verified for the multi-objective optimization problems with two objectives. However, the MGSO-ACL has not been tested on problems with more than three objectives, that is, the MaOPs.…”
Section: ) Dhcs Constraints: (14)-(19) 3) Electricity Network Constmentioning
confidence: 99%
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“…In [12,17], the efficiency of multiobjective group search optimizer with adaptive covariance and Lévy flights (MGSO-ACL) algorithm has been verified for the multi-objective optimization problems with two objectives. However, the MGSO-ACL has not been tested on problems with more than three objectives, that is, the MaOPs.…”
Section: ) Dhcs Constraints: (14)-(19) 3) Electricity Network Constmentioning
confidence: 99%
“…The dispatch problem of an IES studied in this paper conducts in 1-hour interval [10][11][12]25]. In order to compromise the competing benefits of the electricity network, gas network, and distributed DHCs, the power trade-offs among them are investigated in detail by means of optimizing the selected objectives simultaneously.…”
Section: Integrated Energy System Modeling 21 System Descriptionmentioning
confidence: 99%
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“…A general multiple energy carrier power flow model was developed based on nodal power balance, and line losses were calculated as polynomial functions of the corresponding power flow [16]. The nonlinear model of the gas network was formulated in detail containing gas well, gas pipeline, gas compressor, gas loads, and so on [17][18][19]. In [20], a natural gas network system was incorporated in IES, and the gas shift matrix, similar to the generation shift factor in DC power flow model, was formulated to linearize the pipeline flow equation so that the computational efficiency was improved.…”
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confidence: 99%