考虑需求响应的智能社区微电网最优经济调度

2018 3rd International Conference on Intelligent Green Building and Smart Grid (IGBSG) Pub Date : 2018-04-01 DOI:10.1109/IGBSG.2018.8393560

Tao Zhang, Jiaying Zhang, Lingyun Wang, Dongfang Zhang

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引用次数: 3

摘要

采用热负荷主导模式将限制热电联产系统微燃机的灵活出力，建立了分时电价响应和压缩制冷机相结合的智能小区多能流微电网联合模型。在安装压缩制冷机解耦系统制冷的基础上，考虑分时电价对用户用电习惯的影响，建立了系统最大综合运行收益的数学模型。在用户负荷响应后，采用shuffle Frog跳跃算法(SFLA)对冷负荷模型进行优化。结果表明，SFLA算法可以更快地获得全局最优解和更好的模型适应度值。

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Optimal economic dispatch for intelligent community micro-grid considering demand response

Using in thermal load dominant mode will restrict the flexible output of the micro-combustion engine for the combined heat and power supply system (CCHP), this paper established a joint model of multi-energy flow micro-grid for intelligent community combined with the time-sharing price response and compression chiller. The mathematical model of the maximum integrated operating income of the system, which is based on the installation of the compression chiller to decouple the system cooling and consider the influence of the time-sharing price on user's electrical habits. And the Shuffled Frog Leaping Algorithm (SFLA) is used to optimize the cooling load model after the user load response. The results show that the SFLA algorithm can obtain the faster global optimal solution and the better fitness value of the model.

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来源期刊

2018 3rd International Conference on Intelligent Green Building and Smart Grid (IGBSG)

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