LDP模式下基于多agent的视觉匹配

Zheng Wen, Liu Xin-Ci, Ma Ying-ying
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摘要

本文的主要目的是给出一个事务模拟的框架。它为在Swarm软件中模拟匹配交易过程提供了一个可视化的平台。该可视化仿真平台是基于电力市场的大直接采购模式设计的。视觉交易是发电商与大直接用户之间在市场规则的作用下,在电量和电价的交易中,参与一种通过宣布数量和价格来确定的博弈。通过交易建立的订单清单,可以在物理约束下形成合理的网络连接,实现利益分配。在仿真过程中,发电机组的任何动作都会影响到自身以及整个行业的边际收益和总利润,并会使发电机组在预测其他发电机组的动作和这种动作对自身的影响以及这种反应的影响时,决定自己的产量或价格。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visual Matching Based on Multi-Agent Under LDP Mode
The main purpose of the paper is to give a framework of transaction simulation. It provides a visual platform to simulation the matching transaction progress in the Swarm software. The visual simulation platform is based on the LDP (Large Direct Purchasing) mode in electricity market. The visual transaction is between the electricity generators and large direct users, who participate in a game determined by declaring the quantity and the price in the transaction of the electricity quantity and price under the action of the market rules. The order list, which was established by the transaction, can form a reasonable network connection under the physical constraints to fulfill the distribution of benefits. In the simulation procedures, any actions of the power generator will affect itself as well as the industry's marginal revenue and total profit, and will make the generator to determine its own production quantity or price in predicting other generators' action and the impact of such action on themselves, as well as the impact of this reaction.
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