Wind-Thermal Integrated Power System Scheduling Problem Using Cuckoo Search Algorithm | Semantic Scholar Skip to search formSkip to main content> Semantic Scholar's Logo Search Sign InCreate Free Account You are currently offline. Some features of the site may not work correctly. DOI:10.4018/ijoris.2014070104 Corpus ID: 10957167Wind-Thermal Integrated Power System Scheduling Problem Using Cuckoo Search Algorithm @article{Chandrasekaran2014WindThermalIP, title={Wind-Thermal Integrated Power System Scheduling Problem Using Cuckoo Search Algorithm}, author={K. Chandrasekaran and S. P. Simon}, journal={Int. J. Oper. Res. Inf. Syst.}, year={2014}, volume={5}, pages={81-109} } K. Chandrasekaran, S. P. Simon Published 2014 Engineering, Computer Science Int. J. Oper. Res. Inf. Syst. A new nature inspired metaheuristic algorithm known as the cuckoo search algorithm (CSA) is presented in this paper, to solve the unit commitment problem (UCP) for hybrid power system. The utilization of wind energy sources is increasing throughout the world. It is therefore important to develop the protocol for the integration of wind generation system with conventional thermal unit generation system. High wind penetration can lead to high-risk level in power system reliability. In order to… Expand View via Publisher igi-global.com Save to Library Create Alert Cite Launch Research Feed Share This Paper 4 Citations View All Topics from this paper Search algorithm Cuckoo search Scheduling (computing) Metaheuristic Dynamic dispatch Homeomorphism (graph theory) Smoothing 24-hour clock EMI (protocol) Electronic data processing 4 Citations Citation Type Citation Type All Types Cites Results Cites Methods Cites Background Has PDF Publication Type Author More Filters More Filters Filters Sort by Relevance Sort by Most Influenced Papers Sort by Citation Count Sort by Recency Coordinated dispatching strategy of multiple energy sources for wind power consumption Shuang Rong, X. Chen, W. Guan, Mingyu Xu Computer Science 2019 3 PDF Save Alert Research Feed Performances of Adaptive Cuckoo Search Algorithm in Engineering Optimization P. Ong, S. 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