An Intelligent Approach for Reactive Power Planning in Distribution Network with Wind Power

Ling Yun Wang; Jie Pan; Ling Lu

doi:10.4028/www.scientific.net/AMM.344.279

Paper Titles

Research on CGF Decision-Making Algorithm Based on Fuzzy Petri Nets
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Coordination Algorithm Design of the Load Sharing Proxy Servers for Streaming Media
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Developing and Applying the Information Construction Analysis Visualization System
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Optimal Due-Window Assignment Based on Common Flow Allowance under Linear Deteriorating and Resource-Dependent Processing Times
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An Intelligent Approach for Reactive Power Planning in Distribution Network with Wind Power
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Application of Workflow Technology in the CAPP System
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Optimal Common Due-Window Assignment with Linear Deteriorating and Resource-Dependent Processing Times under a Deteriorating Maintenance Activitiy
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Research on Method of Property Verification of Multi-Agent System CGF Architecture Model
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 344An Intelligent Approach for Reactive Power...

An Intelligent Approach for Reactive Power Planning in Distribution Network with Wind Power

Abstract:

An intelligent approach for reactive power planning in distribution network with wind power is presented. A genetic optimization algorithm is applied in order to optimize the reactive power dispatch. The reactive power requirement for wind farm is considered as a restriction so that the active power control objective can be achieved while the real power losses are minimized. Finally, the proposed method is tested in the standard IEEE 30 node system with five wind turbines as a simulated wind farm, while considering the capability limits of wind turbine. The numerical results show that the proposed intelligent genetic algorithm can reduce real power losses effectively and improve the node voltage stability.