EPNES: Robustness, Efficiency, and Security of Electric Power Grid in a Market Environment

EPNES：市场环境下电网的稳健性、效率和安全性

• 批准号: 0323685
• 负责人: Peter Luh
• 金额: $ 35万
• 依托单位: University of Connecticut
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-01 至 2007-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0323685&HistoricalAwards=false
• 关键词: EPNES; Robustness; Efficiency; Security; Electric

In conjunction with Southern California Edison and Northeast Utilities, the goal of the research is to develop theory, models, and methods for reliable, affordable, and secure power. Two tasks will be performed:Robustness of Complex Systems. Like many critical infrastructures, a power grid can experience cascading collapse where a seemingly small event cascades into a massive inability of the system to carry out its function. Our first task is to develop simulation-based methods for reducing vulnerability to collapse.Economic and Gaming Considerations. Two fundamental market issues are considered. The first is the auctions used by Independent System Operators. We believe that current auctions are improperly designed resulting in higher than necessary costs to customers. A correct formulation and a novel methodology are proposed. The second issue is from the perspective of power providers, and focuses on methods that optimize day-ahead decisions while considering real-time markets and managing risks. Our results will be validated against benchmark problems, the New England and California Power Markets. The intellectual merit lies in our recognition of the complexity, and tries to address the problems from a different perspective. The key idea for the first task is to use a model that not necessarily providing the exact performance value, but providing the correct performance order. This is based on the well-known fact that order is much easier to determine that value, and consequently a model only needs to capture the essential features that dominate the collapse behavior. Similarly, the second task would require solving mixed-integer problems with a non-separable structure. Rather than insisting on optimal solutions, our key idea is to obtain near-optimal solutions with quantifiable quality in a computationally efficient manner based on a novel "surrogate optimization framework." The electric power infrastructure typifies the characteristics shared by virtually all critical networked infrastructures (transportation, finance, banking, emergency services, government, communications, media, manufacturing, social, etc.), therefore the proposed research will have broader impacts on other infrastructures. In addition, through courses, seminars, conferences, and summer programs for high school students and teachers, we shall reach out to students and professionals at various levels.

与南加州爱迪生和东北公用事业公司合作，研究的目标是为可靠、负担得起和安全的电力开发理论、模型和方法。 将执行两个任务：复杂系统的鲁棒性。 像许多关键基础设施一样，电网可能会经历级联崩溃，其中看似很小的事件级联成系统无法执行其功能的大规模故障。 我们的第一个任务是开发基于模拟的方法来降低崩溃的脆弱性。经济和游戏考虑。 我们考虑了两个基本的市场问题。 第一种是独立系统运营商使用的拍卖。 我们认为，目前的拍卖设计不当，导致客户的成本高于必要的成本。 提出了一种正确的配方和一种新的方法。 第二个问题是从电力供应商的角度，重点是优化日前决策的方法，同时考虑实时市场和管理风险。 我们的结果将验证基准问题，新英格兰和加州电力市场。 知识的价值在于我们认识到了复杂性，并试图从不同的角度来解决问题。 第一个任务的关键思想是使用一个模型，不一定提供确切的性能值，但提供正确的性能顺序。 这是基于一个众所周知的事实，即顺序更容易确定该值，因此模型只需要捕获主导崩溃行为的基本特征。 类似地，第二个任务需要解决具有不可分离结构的混合整数问题。 而不是坚持最优的解决方案，我们的关键思想是获得近似最优的解决方案，以计算效率的方式，基于一种新的“代理优化框架”的量化质量。" 电力基础设施代表了几乎所有关键网络基础设施（交通、金融、银行、应急服务、政府、通信、媒体、制造业、社会等）所共有的特征，因此，拟议的研究将对其他基础设施产生更广泛的影响。 此外，通过课程，研讨会，会议和高中学生和教师的暑期课程，我们将接触到各级学生和专业人士。