2011
DOI: 10.7763/ijet.2011.v3.270
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Multi-Objective Generation and Emission Dispatch Using NSGA-II

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Cited by 5 publications
(4 citation statements)
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“…There are 2 stages in solving the multiobjective problem: determination of the set of nondominated solutions and selection of the best compromise solution …”
Section: Results Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…There are 2 stages in solving the multiobjective problem: determination of the set of nondominated solutions and selection of the best compromise solution …”
Section: Results Analysismentioning
confidence: 99%
“…The process of implementation is explained in the following steps (adapted to active power): organization of generator data according to the most efficient and the selection of minimum number of generators that satisfy the active power demand; definition of power demand to be supplied by plant in MW ( P d = 1000 Mw); and parameters of the algorithm:population size = 300 andmaximum generation = 400. …”
Section: Results Analysismentioning
confidence: 99%
“…Limits on wind power output are presented by (15). The power constraints, upper and lower storage capacity constraints and daily pumping capacity constraints of pumped storage units are considered by (16).…”
Section: ) Operation Cost Of Pumped Storage Unitsmentioning
confidence: 99%
“…Due to the negative peak shaving characteristics of wind power, it will force the conventional units to start and stop frequently, which is not in line with the principle of economic grid dispatching and leads to severe wind abandonment [14][15][16]. Therefore, for the coastal power systems with wind and nuclear power, it is of great significance to study the participation of nuclear power in peak shaving and coordinated dispatching with wind power for the economic operation of the power grid and the promotion of wind power consumption.…”
Section: Introductionmentioning
confidence: 99%