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has been cited by the following article:

• TITLE: An Optimal Dynamic Generation Scheduling for a Wind-Thermal Power System

  AUTHORS: Xingyu Li, Dongmei Zhao

  KEYWORDS: Generation Scheduling; Dynamic Optimization; Wind Power; Particle Swarm Optimization

  JOURNAL NAME: Energy and Power Engineering, Vol.5 No.4B, November 12, 2013

  ABSTRACT: In this paper, a dynamic generation scheduling model is formulated, aiming at minimizing the costs of power generation and taking into account the constraints of thermal power units and spinning reserve in wind power integrated systems. A dynamic solving method blended with particle swarm optimization algorithm is proposed. In this method, the solution space of the states of unit commitment is created and will be updated when the status of unit commitment changes in a period to meet the spinning reserve demand. The thermal unit operation constrains are inspected in adjacent time intervals to ensure all the states in the solution space effective. The particle swarm algorithm is applied in the procedure to optimize the load distribution of each unit commitment state. A case study in a simulation system is finally given to verify the feasibility and effectiveness of this dynamic optimization algorithm.