基于多智能体的居民用户天然气分时定价仿真

发布时间：2019-06-13 17:17

【摘要】：采用多智能体建模与仿真方法,构建了由政府、用户和燃气公司3类智能体组成的天然气分时定价系统,建立了基于消费心理行为的居民用户需求响应模型,通过智能体的协作与交互模拟城市天然气管网由于价格变化所引起的管网负荷与系统主体的演化过程。根据天然气历史消费量数据,将1天按时间划分为峰、平、谷3个时段,按照"量大价高"的原则实施峰谷分时定价政策,模拟居民用户在不同需求响应强度下燃气管网利益主体的运行状态。结果表明:1居民用户用气所占比重直接影响天然气峰谷分时价格的实施,在峰谷价格浮动比率上调时,能源消费支出逐步增多,对应的用户的满意度逐步降低,但能够有效降低峰谷负荷差,促进燃气管网平稳运行;2居民用户在不同需求响应强度下,存在一个最优的峰平谷价格比例,使得系统目标最优。
[Abstract]:By using the method of multi-agent modeling and simulation, a natural gas time-sharing pricing system composed of three kinds of agents, government, user and gas company, is constructed, and the demand response model of residents based on consumer psychological behavior is established. The evolution process of pipeline network load and system main body caused by price change of urban natural gas pipeline network is simulated through the cooperation and interaction of agents. According to the historical consumption data of natural gas, one day is divided into three periods according to time: peak, flat and valley, and the peak and valley time-sharing pricing policy is implemented according to the principle of "high quantity and high price", which simulates the operation state of the interests of gas pipeline network under different demand response intensity. The results show that: (1) the proportion of gas used by residents directly affects the implementation of peak and valley price of natural gas. When the floating ratio of peak and valley price is increased, the expenditure of energy consumption increases gradually and the satisfaction of corresponding users decreases gradually, but it can effectively reduce the load difference of peak and valley and promote the smooth operation of gas pipeline network. (2) under different demand response intensity, there is an optimal peak and valley price ratio, which makes the system goal optimal.
【作者单位】：中国地质大学经济管理学院;合肥工业大学管理学院;
【基金】：国家自然科学基金资助项目(71173202) 中央高校基本科研业务费专项资金资助项目(1410491T07)
【分类号】：F426.22;F726;F224;TP18

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