2013
DOI: 10.1007/s11708-013-0248-8
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Combined heat and power economic dispatch problem using firefly algorithm

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Cited by 60 publications
(39 citation statements)
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“…From Table 3, it can be observed that the CPU time of TSCO algorithm is much less than all other compared algorithms. In addition, the TSCO algorithm obtains less fuel cost than the algorithm reported in the existing literature, 5,10,12,16,20,28,29,33,[35][36][37] and almost equal fuel cost with the CSO 35 algorithm. As shown in Table 2, the power production and the heat production are 600.6834 MW and 150 WMth, respectively.…”
Section: Test Casementioning
confidence: 88%
“…From Table 3, it can be observed that the CPU time of TSCO algorithm is much less than all other compared algorithms. In addition, the TSCO algorithm obtains less fuel cost than the algorithm reported in the existing literature, 5,10,12,16,20,28,29,33,[35][36][37] and almost equal fuel cost with the CSO 35 algorithm. As shown in Table 2, the power production and the heat production are 600.6834 MW and 150 WMth, respectively.…”
Section: Test Casementioning
confidence: 88%
“…At present, there are many methods to solve optimization problems, such as evolutionary algorithm [32] or numerical algorithm [33]. In this paper, we use Yalmip, which is a toolbox of MATLABR2014a to solve the optimization problem.…”
Section: Solution Methodsmentioning
confidence: 99%
“…In terms of extraction condensing unit, although its production of electricity and heat are also coupled, it has a more flexible heat-power generation characteristic compared with back-pressure turbine. A typical heat-power feasible operation region [27] for an extraction condensing CHP unit is shown in Figure 3. The power and heat outputs are constrained in the quadrilateral ABCD.…”
Section: The Heat-power Feasible Operation Region Of Chp Unitmentioning
confidence: 99%