Production Costing and Planning for Multi-Area and Distributed Power Systems

多区域和分布式电力系统的生产成本核算和规划

• 批准号: 9521603
• 负责人: Benjamin Hobbs
• 金额: $ 6万
• 依托单位: Case Western Reserve University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-09-01 至 1996-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9521603&HistoricalAwards=false
• 关键词: Production; Costing; Planning; Multi; Area

Hobbs 9521603 Existing planning tools do not calculate expected production costs while considering transmission limitations. Further, present frameworks for comparing distributed resources against transmission and distribution (T&D) investments and centralized resources lack a theoretical basis for the appropriate development and use of marginal cost information. We propose the following research efforts to fill those gaps: * Development and demonstration of methods for assessing the effect of transmission limits upon expected costs. The methods would exploit a multiarea probabilistic production costing framework incorporating DC and AC network representations. Existing probabilistic multiarea methods, aside from inefficient Monte Carlo approaches, do not include DC or AC flow models. This work would be of benefit to utilities by allowing them to assess the long run implications of resources and transmission decisions for production costs while rigorously considering transmission limitations and the entire range of possible load and equipment states. It could also benefit non-utility providers of electric power, large power consumers, and regulators by providing them a means of better understanding the spatial cost structure of the bulk power market. * Creation of a theoretically defensible yet practical framework for using such information for evaluating resources and transactions. Decomposition methods would be used to develop theoretically optimal approaches for coordinating models for generation planning, bulk power system operation, and transmission and distribution planning. Guidelines and procedures would be defined for theoretically correct calculation of marginal costs and coordination of models. This effort would be especially valuable to the many electric utilities who are beginning to evaluate the merits of dist ributed versus centralized generation and demand-side resources. Some utilities are presently testing ad hoc procedures involving coordination of distribution planning methods with bulk power planning and power flow models. ****

霍布斯9521603 现有的规划工具不计算预期的生产成本，同时考虑传输限制。 此外，目前的框架比较分布式资源对传输和分配（TD）的投资和集中的资源缺乏适当的开发和使用的边际成本信息的理论基础。& 我们建议开展以下研究工作，以填补这些空白： * 制定和演示评估 传输限制对预期成本的影响。 的 方法将利用多区域概率生产 包含直流和交流网络的成本计算框架 表示。 现有的概率多区域方法， 除了效率低下的蒙特卡罗方法，不要 包括DC或AC流模型。 这项工作将是有益的 通过允许他们评估长期 资源和传输决策的影响 生产成本，同时严格考虑传输 限制和整个可能的负载范围， 设备状态。 它也可以使非公用事业受益 电力供应商，大型电力消费者，以及 监管机构，让他们更好地了解 大容量电力市场的空间成本结构。 * 建立一个理论上可辩护但实际可行的 使用此类信息进行评估的框架 资源和交易。 分解方法是 用于开发理论上的最佳方法， 发电规划协调模型，大容量电力 系统运行和输配电 规划 准则和程序将被定义为 理论上正确计算边际成本， 模型的协调。 这一努力将特别 对许多电力公司来说是有价值的， 评估分布式与集中式的优点 发电和需求方资源。 一些公用事业是 目前正在测试涉及协调的临时程序， 配电规划方法与大容量电力规划 和潮流模型。 ****