SBIR Phase I: A hybrid phasor/waveform simulation tool for the accurate and efficient simulation of large electric power systems with high shares of inverter-based resources

小型企业创新研究(SBIR)第一阶段项目的更广泛影响/商业潜力将是开发改进的电力系统动态稳定性评估方法，使可再生能源能够高效、大规模地整合到世界各地的系统中。脱碳目标和经济机遇要求增加基于逆变器的资源，如太阳能、风能和电池储能。在所有电力系统上的所有可再生逆变器电源互联之前，需要进行动态稳定性评估。目前的仿真方法没有捕捉到逆变器运行的关键细节，或者计算过于复杂和昂贵，无法有效地用于真实世界的系统。这带来了独特的模拟能力的巨大潜力，从而简化了这一过程。全球市场都有机会推出更有效、更高效的规划解决方案，使电力系统运营商能够满足这一需求。仅在美国，解决方案的许可机会就高达数亿美元。所提出的混合方法结合了计算的灵活性和准确性。该解决方案将利用这些方法的成熟度并消除它们的弱点。最终的解决方案将为电力系统操作员和规划者提供一个无价的、新颖的仿真工具，以应对能源转换的挑战。该项目的智力优势来自于数学方法的发展，这些方法将构成这个混合电力系统动态仿真工具的基础。现有的工具存在明显的弱点。例如，降阶相量域仿真方法不能捕捉逆变器运行的关键方面。详细的波形域方法足以捕获相关的动态，但计算成本太高，无法有效地用于真实世界的系统。这些领域是成熟的，但单独来看，它们不能满足不断变化的需求。将它们混合在单个平台中是一种解决方案，但它需要在所提议的工具的以下三个基本支柱方面进行研究：1)自主边界确定-识别划分两个模拟域的空间(跨网络)和时间(跨仿真长度)边界；2)仿真模型内调整-为所有仿真应用动态模型粒度，但在不需要实质细节的情况下奇异地扰动微分系统以创建代数关系并减少计算负担；以及3)无缝仿真模式切换-识别在域之间切换所需的标准。随着SBIR第一阶段项目的成功完成，混合方法的可行性将得到确认，实施路线图将实现。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project will be to develop refined approaches to power system dynamic stability assessments, enabling the efficient, mass integration of renewable energy into systems worldwide. Decarbonization goals and economic opportunity necessitate the increase of inverter-based resources, such as solar, wind, and battery energy storage. A dynamic stability assessment is required before the interconnection of every renewable, inverter-based resource on all power systems. Current simulation approaches do not capture the critical details of inverter operation or are too computationally complex and expensive to be effective with real-world systems. This results in the enormous potential for unique simulation capabilities that streamline this process. There is a global market opportunity for more effective and efficient planning solutions that enable power system operators to meet this need. In the United States, alone, the licensing opportunity for a solution is hundreds of millions of dollars. The proposed hybrid approach combines computational flexibility with accuracy. This solution will leverage the maturity of these approaches and eliminate their weaknesses. The final solution will yield an invaluable, novel simulation tool for power system operators and planners navigating the challenges of the energy transition.The intellectual merit of this project results from the development of mathematical methods that will comprise the foundation of this hybrid power system dynamics simulation tool. Existing tools have clear weaknesses. For example, reduced-order, phasor domain simulation approaches do not capture the critical aspects of inverter operation. Detailed waveform domain approaches are sufficient to capture relevant dynamics but are too computationally expensive to be effective with real-world systems. These domains are mature, but separately they do not meet the changing need. Hybridizing them in a single platform is a solution, but it requires research in the following three foundational pillars of the proposed tool: 1) autonomous boundary determination – identifying the spatial (across the network) and temporal (across the simulation length) boundary that partitions the two simulation domains; 2) intra-simulation model order adjustment – applying dynamical model granularity for all simulations, but singularly perturbing the differential systems to create algebraic relations and reduce computational burden when substantial detail is not required; and 3) seamless simulation mode switching – identifying criteria necessary for switching between domains. With the successful completion of this SBIR Phase I project, the viability of the hybrid approach will be confirmed, and a roadmap for implementation will be realized.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.