Wind-Thermal Integrated Power System Scheduling Problem Using Cuckoo Search Algorithm

Wind-Thermal Integrated Power System Scheduling Problem Using Cuckoo Search Algorithm

K. Chandrasekaran, Sishaj P. Simon
DOI: 10.4018/ijoris.2014070104
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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 maintain the system reliability, wind power dispatch is usually restricted and energy storage is considered for smoothing out the fluctuations. On solving UCP, the proposed binary coded CSA finds the ON/OFF status of the generating units while the economic dispatch problem (EDP) is solved using the real coded CSA. The proposed methodology is tested and validated on 3, 4, 9, 12 38 and 100 unit systems for 24 hour scheduling horizon. The effectiveness of the proposed technique is demonstrated by comparing its performance with the other methods reported in the literature.
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2. Proposed Work

In this paper a new conceptual model is proposed to integrate the wind and energy storage battery with the thermal generation in the UCP. Due to the stochastic nature noticed during the integration of wind power and energy storage, the system becomes highly non linear. Therefore newly developed heuristic cuckoo search algorithm (CSA) (Yang & Deb, 2009; Yang & Deb, 2010) is suitably implemented in the scheduling of generators. Two strategies based on spinning reserve allocation in UCP (deterministic criterion and probabilistic criterion) are carried out. Also this paper proposes the implementation of CSA to solve the UCP. Here, binary coded CSA is proposed to solve the UCP and the real-coded CSA is used to solve the EDP.

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