论文标题
分销网络中使用点对点能量交易的分散电压控制
Decentralized Voltage Control with Peer-to-peer Energy Trading in a Distribution Network
论文作者
论文摘要
长期以来，通过点对点（P2P）的能源交易利用分布式可再生和储能资源一直被吹捧为改善能源系统的弹性和可持续性的解决方案。但是，消费者和生产商（拥有能源发电资源的人）没有专业知识可以重复进行P2P交易，而可再生能源的零分支成本在确定公平市场价格时面临挑战。为了解决这些问题，我们提出了一个多代理强化学习（MARL）框架，以帮助消费者的竞标和管理太阳能光伏和储能资源，这是利用所谓的供应比率的特定P2P清算机制。此外，我们还展示了MARL框架如何整合物理网络约束以实现分散的电压控制，从而确保P2P能源交易的物理可行性以及用于现实世界实现的方法。
Utilizing distributed renewable and energy storage resources via peer-to-peer (P2P) energy trading has long been touted as a solution to improve energy system's resilience and sustainability. Consumers and prosumers (those who have energy generation resources), however, do not have expertise to engage in repeated P2P trading, and the zero-marginal costs of renewables present challenges in determining fair market prices. To address these issues, we propose a multi-agent reinforcement learning (MARL) framework to help automate consumers' bidding and management of their solar PV and energy storage resources, under a specific P2P clearing mechanism that utilizes the so-called supply-demand ratio. In addition, we show how the MARL framework can integrate physical network constraints to realize decentralized voltage control, hence ensuring physical feasibility of the P2P energy trading and paving ways for real-world implementations.
