Differentially Private Smart Meter Data Markets: An Interdisciplinary Approach

完整标题：基于代理的模拟方法提供辅助服务的需求响应和分布式存储和发电资产在未来的低碳系统本项目旨在研究当今电力市场面临的最相关的挑战之一。电力行业快速脱碳的推动导致电力系统内风能和太阳能等间歇性可再生能源发电量增加，从而增加了系统集成成本。为了确保供需的即时匹配以及通过备用余量确保系统安全，电网系统运营商需要与市场参与者签订辅助服务合同。电池储能（BES）成本的降低，智能计量和需求侧管理（DSM）的发展为分布式小规模发电和储能资产提供了参与辅助服务市场的机会。现有的研究主要集中在成本最优和自动化调度解决方案，使用生产成本模型，假设市场参与者通常会做出理性的选择，对定价信号做出反应，具有完美的预见性，并在没有市场力量的情况下运作。然而，这种方法没有考虑到市场参与者表现出异质行为的事实。特别是，分布式DSM和BES资产表现出不同的态度和行为意图，往往被忽视或只定性评估。该项目建议使用基于代理人的方法来解释行为差异，并允许制定适当的激励结构，并深入了解从分布式资产中获得可靠服务所需的条件。该研究试图捕捉不同社会心理的影响，在分布式网络中影响代理行为的经济因素，最终目的是将这些发现转化为实际和可操作的政策建议。

Full title: Agent-based simulation approach to the provision of ancillary service by demand response and distributed storage and generation assets in the future low carbon systemThis project aims to investigate one of the most pertinent challenges facing electricity markets today. The push for rapid decarbonisation of the electricity sector is leading to increased amounts of intermittent renewable generation such as wind and solar within the power system increasing system integration costs. The need to ensure the instantaneous matching of supply and demand, as well as system security through reserve margins requires grid system operators to contract ancillary services from market participants. The decreasing costs of Battery Energy Storage (BES), developments in smart metering and Demand Side Management (DSM) provide opportunities for distributed, small-scale generation and storage assets to participate in the ancillary services market. Existing studies have focused on cost-optimal and automated dispatching solutions, using production-cost models which assume market participants typically make rational choices, respond to pricing signals, have perfect foresight, and operate in the absence of market power. Such an approach, however, does not take into account the fact that market participants exhibit heterogeneous behaviour. In particular, distributed DSM and BES assets exhibit diverse attitudes and behavioural intentions that are often ignored or only assessed qualitatively. The project proposes the use of an agent-based approach to account for behavioural difference and to allow for the formulation of appropriate incentive structures and provide insight into what is required to achieve reliable service from distributed assets.By integrating an interdisciplinary framework, the research attempts to capture the effects of different socio-psychological-economic factors that influence agent behaviours in a distributed network with the ultimate aim of translating these findings into practical and actionable policy recommendations.