Journal of System Simulation
Abstract
Abstract: Wind farms are developing rapidly under the new policy on energy resources vigorously advocated by the state. Its output scheduling is very complex, and needs the integration of economic and environmental factors. Aiming at the large prediction error of wind power, in the dynamic environmental economic dispatch of wind farm, the cost of rotating reserve is taken into account within the generation cost, and the demand of wind power prediction error for rotating reserve capacity is taken into account within the constraint condition. Aiming at the minimum total cost of power generation, the minimum total pollutant emission and minimum total cost of electricity purchase, a dynamic environmental and economic dispatching model of wind farm is established. Non-dominated Sorting Genetic Algorithm-III is used to obtain diverse solution sets and good convergence. The simulation of a five-machine power system with a wind farm verifies the rationality of the proposed dynamic environmental economic scheduling scheme based on multi-objective wind farms.
Recommended Citation
Wei, Le and Li, Xijin
(2020)
"Dynamic Environmental and Economic Dispatching of Wind Farm Based on Multi-objective,"
Journal of System Simulation: Vol. 32:
Iss.
9, Article 22.
DOI: 10.16182/j.issn1004731x.joss.19-0055
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol32/iss9/22
First Page
1825
Revised Date
2019-05-09
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.19-0055
Last Page
1830
CLC
TM73
Recommended Citation
Wei Le, Li Xijin. Dynamic Environmental and Economic Dispatching of Wind Farm Based on Multi-objective[J]. Journal of System Simulation, 2020, 32(9): 1825-1830.
DOI
10.16182/j.issn1004731x.joss.19-0055
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