Optimization Methods for Enhancing Real-Time Voltage Stability Margin (VSM)

美国电力系统放松管制，导致电力市场参与者之间的交易大幅增加。需要一个有效的工具来监视和控制这一关键基础设施的性能，以避免灾难性的故障事件。提出了一种具有实时电压安全约束的分散式最优潮流算法。该公式将基于采用实时相量测量单元和传统状态估计输入的区域最优潮流。要考虑的优化技术包括自适应动态规划、二次内点优化和整数内点优化。智能优点：该项目将提出一种利用实时数据计算电压稳定裕度(VSM)的电力系统预防性控制的创新方法，并提供分散的最优潮流方法来缓解电压不稳定问题。更广泛的影响：这项提案将解决系统、优化和电力领域的问题。这项研究将支持派S在社区推广和辅导代表不足群体的学生方面的努力。PI还将利用当地资源，包括霍华德大学科学、工程和数学(HUSEM)计划和本科生研究经验(REU)，扩大这种参与。

Deregulation of the US electricity system has resulted in significant increases in transactions among players in the power market. An efficient tool is needed to monitor and control the performance of this critical infrastructure to avoid catastrophic failure events. This research aims to develop a decentralized Optimal Power Flow (OPF) with real-time voltage security constraints. This formulation will be based on an area-wise OPF that employs real-time Phasor Measurement Units as well as traditional state estimation inputs. Optimization techniques to be considered include adaptive dynamic programming, quadratic interior point optimization, and integer interior point optimization. Intellectual Merits: The proposed project will address an innovative approach to preventive control of power systems using real time data for computing a Voltage Stability Margin (VSM), and provide decentralized optimal power flow methods for alleviating the voltage instability problems. Broader Impacts: This proposal will address problems in the areas of systems, optimization and electric power. The research will support the PI s efforts in community outreach and mentoring students from underrepresented groups. The PI will also use local resources, including the Howard University Science, Engineering and Mathematics (HUSEM) Program and Research Experience for Undergraduates (REU), to broaden this participation.