基于需求传播方法的空间负荷预测

J. Melo, E. Carreno, A. Padilha-Feltrin
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引用次数: 9

摘要

提出了一种多智能体系统的空间电力负荷预测方法,特别适用于模拟配电系统中特殊负荷的局部效应。该方法基于多智能体系统,使用两种智能体:被动智能体和主动智能体。反应代理表示服务区域中的每个子区域,并以实数表示每个子区域的相应负载水平,以及它们与其他子区域的关系,以发展概率表示。主动代理承担由于新的特殊负载而预期分配的新负载,该代理以传播模式分发新负载。结果与服务区域未来预期负荷水平的地图一起呈现。用一个中型城市实际配电系统的数据对该方法进行了测试,模拟了具有吸引和排斥属性的负载的影响。该方法取得了良好的效果和性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial load forecasting using a demand propagation approach
A method for spatial electric load forecasting using multi-agent systems, especially suited to simulate the local effect of special loads in distribution systems is presented. The method based on multi-agent systems uses two kinds of agents: reactive and proactive. The reactive agents represent each sub-zone in the service zone, characterizing each one with their corresponding load level, represented in a real number, and their relationships with other sub-zones represented in development probabilities. The proactive agent carry the new load expected to be allocated because of the new special load, this agent distribute the new load in a propagation pattern. The results are presented with maps of future expected load levels in the service zone. The method is tested with data from a mid-size city real distribution system, simulating the effect of a load with attraction and repulsion attributes. The method presents good results and performance.
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