论文标题
合作优化功率调度和减轻交通拥堵的方式，在退后的地平线市场中使用本地定价
Collaboratively Optimizing Power Scheduling and Mitigating Congestion using Local Pricing in a Receding Horizon Market
论文作者
论文摘要
引入了一种分布式，分层的基于市场的方法来解决经济调度问题。该方法仅需要在中央市场运营商和最终用户之间共享的最少信息。市场运营商的价格信号被发送到最终用户设备代理，而最终用户设备代理商反过来响应电源时间表。中间的拥塞代理商确保满足当地的电力限制，并通过增加本地定价差异来避免任何潜在的拥塞。我们的结果表明，在有20％的评估方案中，解决方案在获得完美知识时与全球最佳距离相同。在其他80％的情况下，结果并没有明显更糟，同时提供了更高的可扩展性并提高消费者的隐私。
A distributed, hierarchical, market based approach is introduced to solve the economic dispatch problem. The approach requires only a minimal amount of information to be shared between a central market operator and the end-users. Price signals from the market operator are sent down to end-user device agents, which in turn respond with power schedules. Intermediate congestion agents make sure that local power constraints are satisfied and any potential congestion is avoided by adding local pricing differences. Our results show that in 20% of the evaluated scenarios the solutions are identical to the global optimum when perfect knowledge is available. In the other 80% the results are not significantly worse, while providing a higher level of scalability and increasing the consumer's privacy.
