电力市场中基于中心运营商与分散生产商协调的多智能体检修计划
Multi-agent maintenance scheduling based on the coordination between central operator and decentralized producers in an electricity market
摘要：
基于状态的预测性维护能够及早检测关键系统状态，从而使决策者能够预防故障并减轻故障。然而，决策者还需要考虑运营和生产需求，以便在安排维护活动时做出最佳决策。特别是在电网等网络系统中，单个资产的维护决策可能会影响整个网络，因此更加复杂。针对电力市场环境下的电网发电检修决策问题，提出了一种两级多智能体决策支持系统。GMS的目标是最大限度地降低发电成本，同时最大限度地提高系统的可靠性。建议的框架集成了一个中央协调系统，即传输系统运营商（TSO），和分布式代理代表发电机组，采取行动，以最大限度地提高他们的利润，并决定最佳的维护时隙，同时确保满足能源需求。代理人（发电公司）的目标函数是基于奖励和惩罚，他们从电力生产和生产损失之间的相互作用，由于故障，分别获得。代理的最佳策略，然后使用分布式算法，代理选择他们的最佳维护决策，并将其决定发送到中央协调系统。TSO通过考虑市场可靠性方面和电力供应约束来决定是否接受代理人的决定。为了解决这个协调问题，我们提出了一个协商算法，使用一个激励信号来协调代理和中央系统的决定，使所有代理的决定可以接受的中央系统。我们证明了我们提出的算法使用IEEE 39总线系统的效率。
英文摘要：
Condition-based and predictive maintenance enable early detection of critical system conditions and thereby enable decision makers to forestall faults and mitigate them. However, decision makers also need to take the operational and production needs into consideration for optimal decision-making when scheduling maintenance activities. Particularly in network systems, such as power grids, decisions on the maintenance of single assets can affect the entire network and are, therefore, more complex. This paper proposes a two-level multi-agent decision support systems for the generation maintenance decision (GMS) of power grids in an electricity markets. The aim of the GMS is to minimize the generation cost while maximizing the system reliability. The proposed framework integrates a central coordination system, i.e. the transmission system operator (TSO), and distributed agents representing power generation units that act to maximize their profit and decide about the optimal maintenance time slots while ensuring the fulfilment of the energy demand. The objective function of agents (power generation companies) is based on the reward and the penalty that they obtain from the interplay between power production and loss of production due to failure, respectively. The optimal strategy of agents is then derived using a distributed algorithm, where agents choose their optimal maintenance decision and send their decisions to the central coordinating system. The TSO decides whether to accept the agents' decisions by considering the market reliability aspects and power supply constraints. To solve this coordination problem, we propose a negotiation algorithm using an incentive signal to coordinate the agents' and central system's decisions such that all the agents' decisions can be accepted by the central system. We demonstrate the efficiency of our proposed algorithm using a IEEE 39 bus system.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
