EPCN: Enabling a Transactive Energy System from a Stochastic Geometry Framework

活跃消费者和终端设备以动态和互动的方式购买/出售能源和相关服务的能力有望创造一个交易能源（TE）市场，为配电系统运营带来新的机遇和挑战。以市场为基础的运营管理方法的含义需要在消费者和公用事业两方面得到更好的理解。研究人员通常试图使用基于模拟的场景分析方法来解决重要和开放的操作问题。与能源生产/消费相关的时空随机性以及消费者对定价的随机行为，使蒙特卡罗模拟的规模和数量显著复杂化，而蒙特卡罗模拟需要做出有意义和统计上有效的推断。对网络的任何更改都可能强制进行麻烦的重新计算。虽然模拟为特定设置的系统操作提供了有用的见解，但具有多种不确定性来源的TE市场的动态特性要求设计新的规划工具。在这个项目中，为了开发一种独特的操作规划工具，可以在持续模式下使用（即与模拟工具结合使用），也可以根据配电系统运营商（DSO）的需要作为一个破坏性的独立替代方案，推导了一套新颖的基于分析近似和边界的随机几何。这一建议引入了一种新的模式，为业务规划结合分析近似和随机边界代替繁琐的模拟。通过将随机几何、图论、信息论和电力系统分析等技术结合在一起，pi将推导出新的概率电压和损耗灵敏度指标，这些指标可以快速计算，并随网络规模的变化而变化。概率敏感性分析依赖于消费者水平和网络水平的随机抽象，这些抽象有助于量化不同活跃消费者渗透水平对电网性能的平均影响。概率敏感性分析的结果用于发展主导影响者的独特概念。使用主导影响者模型，可以确定网络脆弱性等级并用于(1)量化网络对各种网络/物理攻击点的敏感性，以及(2)为dso开发混合控制框架，以便在TE系统内部署和管理控制资产。总而言之，该项目提供的工具将使配电系统运营商能够有效地规划和运营分布式可再生能源、电动汽车和消费者参与的配电系统。这些工具将允许对系统进行真正的技术经济分析，同时结合消费者的偏好。这项研究的结果将：(1)整合到几个本科和研究生课程中，(2)通过学术会议和期刊的出版物传播。pi将通过开放日展示和K-12学生的实地考察来教育公众，鼓励来自代表性不足群体的学生追求STEM职业。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The ability of active consumers and end devices to buy/sell energy and related services in a dynamic and interactive manner is expected to create a transactive energy (TE) market presenting new opportunities and challenges for distribution system operations. The implications of a market-based approach to operational management need to be better understood at both the consumer and utility levels. Researchers have typically attempted to address important and open operational questions using a simulation-based scenario analysis approach. The spatial and temporal randomness associated with energy generation/consumption as well as the stochastic behavior of consumers in response to pricing, significantly complicates the scale and number of Monte-Carlo simulations required to make meaningful and statistically valid inferences. Any changes to the network can force a re-computation that is cumbersome. While simulations provide useful insights on system operations for a specific set up, the dynamic nature of the TE market with multiple sources of uncertainty begs for the design of new planning tools. In this project, a suite of novel stochastic geometry based analytical approximations and bounds are derived in order to develop a unique operational planning tool that can be used in a sustaining mode (i.e., in conjunction with simulation tools) or as a disruptive standalone alternative depending on the needs of distribution system operator (DSO).This proposal introduces a new paradigm for operational planning incorporating analytical approximations and stochastic bounds in lieu of cumbersome simulations. By bringing together techniques from stochastic geometry, graph theory, information theory and power systems analysis, the PIs will derive new probabilistic voltage and loss sensitivity metrics that can be computed quickly and scale well with the size of the network. The probabilistic sensitivity analysis relies on both consumer level and network level stochastic abstractions that help quantify the average impact of varying penetration levels of active consumers on grid performance. The results from the probabilistic sensitivity analysis are used to develop the unique concept of a dominant influencer. Using the dominant influencer models, a network vulnerability rank can be determined and used to (1) quantify the susceptibility of the network to various points of cyber/physical attack, and (2) develop a hybrid control framework for DSOs to deploy and manage control assets within a TE system. The stochastic geometry framework also enables fast identification of inactive voltage constraints that can expedite power flow computations In summary, this project provides tools that will enable distribution systems operators to efficiently plan and operate distribution systems with large penetration of distributed renewable energy resources, electric vehicles, and engaged consumers. These tools will allow true techno-economic analysis of the system while incorporating consumer preferences. Results from this research will be: (1) integrated into several undergraduate and graduate courses, and (2) disseminated via publications in academic conferences and journals. The PIs will educate the public through Open House displays and field trips for K-12 students to encourage students from under-represented groups to pursue STEM careers.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.