Improved Sparrow Search Algorithm for Hybrid Flow-shop Scheduling Problem with Peak Clipping Demand Response
Power demand response is an important means to maintain the balance of power supply and demand in the peak period,and peak clipping is the main way of smart grid to achieve power demand response.In order to enable enterprises using hybrid flow-shop production to better participate in peak clipping demand response(PCDR)and optimize production scheduling,this paper introduces PCDR in the hybrid flow-shop scheduling problem,establishes a new problem model,and proposes an improved Sparrow Search Algorithm(ISSA)for model solving.Aiming at the problem that the standard SSA is prone to local optimization,the ISSA improves the local search ability of SSA by adding K-Means clustering replacement strategy.The experimental results show that the proposed model and algorithm can provide a better peak clipping production scheduling scheme,meeting the needs of enterprises to implement PCDR scheduling.
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