Artificial agents are promising for real-time power network operations, particularly, to compute remedial actions for congestion management. However, due to high reliability requirements, purely autonomous agents will not be deployed any time soon and operators will be in charge of taking action for the foreseeable future. Aiming at designing assistant for operators, we instead consider humans in the loop and propose an original formulation. We first advance an agent with the ability to send to the operator alarms ahead of time when the proposed actions are of low confidence. We further model the operator's available attention as a budget that decreases when alarms are sent. We present the design and results of our competition "Learning to run a power network with trust" in which we evaluate our formulation and benchmark the ability of submitted agents to send relevant alarms while operating the network to their best.
翻译:人工代理商对实时电动网络操作很有希望,特别是计算交通堵塞管理的补救行动。然而,由于高度可靠性要求,纯粹自主代理商不会很快部署,运营商将负责在可预见的未来采取行动。设计运营商助理的目的是设计操作员助理,我们反而将人放在循环中考虑,并提议最初的配方。我们首先向运营商提供一个代理商,在拟议行动缺乏信心时,能够提前向运营商发出警报。我们进一步将运营商的注意作为在发出警报时可以减少的预算。我们介绍了我们竞争的设计和结果,即“学会以信任的方式运行一个电力网络”。 我们在此过程中评估我们的配方并衡量提交代理商在最佳运行网络时发送相关警报的能力。