含多种可再生能源和冷储能装置的冷电联供系统经济优化调度模型研究

Economic Optimization Scheduling of Cogeneration System with Multiple Renewable Energy Sources and Coaling Energy Storage Devices

基于能源互联网理念的提出和可再生能源的快速发展,计及储能装置的运行特性,考虑冷电联供的经济性,兼顾系统的环保性和节能性,以综合成本为目标,搭建了含风电、光电等多种可再生能源和冷储能装置的冷电联供系统优化调度模型。基于对冷负荷需求和风电、光电出力的日前预测,采用自适应布谷鸟算法求解模型,得到不同运行方案下各机组的最佳调度方案。通过算例仿真发现,含有多种可再生能源和冷储能装置的冷电联供系统可以充分发挥可再生能源发电特有的经济、环保优势,减少了一次能源的消耗。仿真结果验证了模型的有效性。

Based on the concept of energy Internet and the rapid development of renewable energy,taking into account the operating characteristics of energy storage devices,an optimized scheduling model for cogeneration systems including wind power,photovoltaics and other renewable energy and cold energy storage devices was built,considering the economy cooling and power-supply,taking into account environmental protection and energy efficiency of the system,the overall cost as the goal.Based on the cooling load demand and the wind power and photoelectric output prediction,the adaptive cuckoo algorithm is used to build the model,and the optimal scheduling schemes for each unit under different operation schemes is obtained.Through the simulation of the example,the quantitative analysis of the cogeneration system containing multiple renewable energy sources and cooling energy storage devices can sufficiently utilize its special economic,environmental advantages,reducing the consumption of primary energy.The validity of the model is verified.