Contingency Constrained Optimal Power Flow For Deregulated Electricity Markets

放松管制的电力市场的应急约束最优潮流

• 批准号: 9810288
• 负责人: Kevin Clements
• 金额: $ 12.18万
• 依托单位: Worcester Polytechnic Institute
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-01-01 至 2000-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9810288&HistoricalAwards=false
• 关键词: Contingency; Constrained; Optimal; Power; Flow

ECS-9810288 Clements Deregulation of the electric power industry will require dynamic optimal power flow (OPF) algorithms, new tools that can efficiently schedule power system operation over a time horizon while including transmission and distribution costs, transmission line limits, generation ramp rate limits, energy constraints, price-responsive loads, and a long list of operational contingencies. In the deregulated environment, transmission and distribution costs and line limits will be significant because of wheeling through third-party transmission systems operating at or near capacity. Ramp limits and energy constraints will control load following and peak support during periods of large changes in load. The active electricity spot market will cause load fluctuations as large industrial customers, for example, shift productions schedules to capture lower energy prices. All must be accommodated within a secure operating environment that can efficiently reschedule to correct for a range of contingencies. The proposed research will extend the classic static OPF tool to incorporate all of these issues. Drawing on prior experience with unit commitment, economic dispatch, and a variety of nonlinear optimization techniques, the proposers will develop an interior-point-based, nonlinear programming approach to dynamic OPF that incorporates rescheduling and price-responsive loads. Key ideas in the development of these tools are constraint relaxation and problem reduction to control problem size, the use of Lagrangian relaxation to decouple ramp rate constraints (vis-a-vis direct solution of the full time-coupled problem), and techniques such as artificial variables to accommodate unfeasibility.

ECS-9810288 Clements 电力行业的放松管制将需要动态最优潮流（OPF）算法，新的工具，可以有效地调度电力系统的运行在一个时间范围内，同时包括传输和分配成本，传输线路限制，发电斜坡率限制，能源约束，价格响应负荷，和一长串的操作意外事件。 在放松管制的环境中，由于通过第三方输电系统的旋转以满负荷或接近满负荷运行，输电和配电成本以及线路限制将是显著的。 斜坡限制和能量约束将在负荷大幅变化期间控制负荷跟踪和峰值支持。 活跃的电力现货市场将导致负荷波动，例如，大型工业客户将改变生产计划以获得较低的能源价格。 所有这些都必须在一个安全的操作环境中进行，这样才能有效地重新安排时间，以纠正一系列意外情况。 拟议的研究将扩展经典的静态OPF工具，将所有这些问题。 借鉴以前的经验，机组的承诺，经济调度，和各种非线性优化技术，提案人将开发一个基于走廊点，非线性规划方法，动态OPF，包括重新调度和价格响应负荷。 在这些工具的发展的关键思想是约束放松和问题减少控制问题的大小，使用拉格朗日松弛解耦斜坡率约束（相对维斯直接解决方案的完整的时间耦合问题），和技术，如人工变量，以适应不可行性。