Research on Scheduling Optimization of Wind Power Integrated System

Jin Ling Lu; Cheng Xiang Zhang; Shuai Mao

doi:10.4028/www.scientific.net/AMR.347-353.2178

Paper Titles

Numerical Simulation of Wind Energy Characteristics in Jiangsu Coastal Area
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Incorporation of Cadmium into Clinker during the Co-Processing of Waste with Cement Kiln
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Two-Dimensional Large-Eddy Simulation of Flow past a Wind Turbine Airfoil in Deep Fall
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Workflow Technology based Distributed Agricultural Products Certification System
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Research on Scheduling Optimization of Wind Power Integrated System
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Recognition System for Digital Meter Dynamic Display from Video Based on MATLAB
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The Analysis on Voltage Stability of Power System Including Different Wind Generator
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Primary Design and Dynamic Analysis of an Articulated Floating Offshore Wind Turbine
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Distinguishing the Main Pollution Source an Efficient Way in Agricultural Non-Point Source Pollution Control
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 347-353Research on Scheduling Optimization of Wind Power...

Research on Scheduling Optimization of Wind Power Integrated System

Abstract:

This paper studied the scheduling optimization problem of the wind power integrated system. A power system scheduling model was established aiming at minimizing the generation cost and reducing pollution. A method combined priority-list method (PL) with multi-objective particle swarm optimization (MOPSO) was proposed to overcome the blindness of particle swarm optimization (PSO) and improve the calculation speed. The priority-list method was used to sort the units. The simple economic dispatch result was taken as the initial location of particles. Adaptive mutation was introduced to guarantee the diversity of particles. The simulation result indicates that the method proposed in this paper is feasible and reasonable.

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Periodical:

Advanced Materials Research (Volumes 347-353)

Pages:

2178-2182

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.347-353.2178

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Online since:

October 2011

Authors:

Jin Ling Lu, Cheng Xiang Zhang, Shuai Mao

Keywords:

Optimisation Scheduling, PL, PL-MOPSO, Wind Power

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