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Behavior Modeling and Auction Architecture of Networked Microgrids for Frequency Support

机译:支持频率的网络微电网的行为建模和拍卖架构

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摘要

As intermittent generation profiles introduce more stress due to the sudden imbalance in supply and demand, power systems are becoming more dependent on online aggregated support of networked utility-independent private microgrids. During the aggregation process, microgrid operators’ preferences and bidding behaviors are priority. New aggregation approaches are required considering the individual behaviors of the networked and geographically dispersed independent microgrids. In this paper, we present a novel bidding behavior modeling and an auction architecture consisting of a central aggregator and networked microgrid agents. The bidding behavioral states of the microgrid agents are formalized as partially observable Markov processes for the belief updates and short-term policy determination in order to maximize the individual profit. A reverse auction model is adopted to enable competitive negotiations between the central aggregator and networked microgrid agents. The auction and aggregation processes were implemented in a power system control area along with an automatic generation control (AGC) scheme to contribute frequency control. The proposed AGC and auction mechanism were verified with an industrial multi-agent framework in a laboratory-based real-time application.
机译:由于供电和需求的突然失衡,间歇性发电配置文件会带来更大的压力,因此电力系统越来越依赖于联网的独立于公用事业的私有微电网的在线支持。在聚合过程中,微电网运营商的偏好和竞标行为是优先事项。考虑到网络化和地理位置分散的独立微电网的个别行为,需要新的聚合方法。在本文中,我们提出了一个新颖的出价行为模型和一个由中央聚合器和网络化微电网代理组成的拍卖架构。微电网代理的竞标行为状态被规范化为信念更新和短期政策确定的部分可观察的马尔可夫过程,以使个人利润最大化。采用反向拍卖模型以使中央聚合器和网络微电网代理之间进行竞争性谈判。拍卖和汇总过程与自动发电控制(AGC)方案一起在电力系统控制区域中实施,以提供频率控制。提出的AGC和拍卖机制已在基于实验室的实时应用中通过工业多代理框架进行了验证。

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