CAREER: Open-Loop Discrete-Event Control in Electric Power Systems

本研究的目标是开发和验证用于电力系统广域开环离散事件控制的模式识别方法，如决策树（dt）和神经网络（nn）。拟议的控制将为独立服务运营商（iso）和目前的公用事业公司提供必要的工具，以实现放松管制的成本降低目标，同时不牺牲可靠性。提出的研究将研究为训练数据模拟的偶然事件的选择，将模拟数据转换为组成训练集的输入输出对的算法，以及用于评估分类器操作的性能度量。PI和研究生将与康奈尔大学和博纳维尔电力管理局的研究人员合作，并将针对文献中报道的失步继电器，发电机跳闸，有源负载调制，高压直流快速功率变化和无功开关等其他方案测试所提出的方法。EE 588“电力系统高级专题”课程的学生将根据研究数据训练和测试神经网络。自动控制系统实验室EE 479的本科生将为本文所分析的简单电力系统模型设计反馈控制。PI将通过频繁和广泛的练习，引导学生通过解决问题的发现过程，而不仅仅是奖励技术的记忆，让所有学生积极学习。PI将在截止日期分发所有作业问题的详细、注释的解决方案。PI发现这些教学方法在广泛的学生中都很成功，包括妇女、少数民族和残疾人

9983653RovnyakThe goal of this research is to develop and validate patternrecognition methods such as Decision Trees (DTs) and Neural Networks (NNs)for electric power system wide-area open-loop discrete-event control. Theproposed controls will provide Independent Service Operators (ISOs) andpresent-day utilities with tools necessary to achieve the cost reductiongoals of deregulation without sacrificing reliability. The proposedresearch will investigate the selection of contingencies to simulate forthe training data, algorithms for converting simulation data into input-output pairs that make up the training sets, and measures of performanceused to evaluate the classifier operation. The PI and graduate studentswill collaborate with researchers at Cornell University and the BonnevillePower Administration and will test the proposed methods against otherschemes reported in the literature for out-of-step relaying, generatortripping, active load modulation, HVDC fast power changes, and reactivepower switching. Students in EE 588, Advanced Topics in Power Systems,will train and test NNs on data from the research. Undergraduate studentsin EE 479, Automatic Control Systems Laboratory, will design feedbackcontrols for the simple power system model that is analyzed in thisproposal. The PI will engage all students in active learning throughfrequent and extensive exercises that lead students through the discoveryprocess of problem solving instead of just rewarding the memorization oftechniques. The PI will distribute detailed, annotated solutions to allhomework problems on the due date. These teaching methods have been foundby the PI to be successful with a broad spectrum of students, includingwomen, minorities and people with disabilities.***