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.

中文翻译：

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在后退的地平线市场中使用本地定价协同优化电力调度和缓解拥塞

引入分布式、分层、基于市场的方法来解决经济调度问题。该方法只需要在中央市场运营商和最终用户之间共享最少量的信息。来自市场运营商的价格信号被发送到最终用户设备代理，而后者又以电力计划作出响应。中间拥塞代理确保满足本地电力限制，并通过添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 20% 的评估场景中，当完美知识可用时，解决方案与全局最优解相同。在另外 80% 中，结果并没有显着恶化，同时提供了更高水平的可扩展性并增加了消费者的隐私。