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

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，目前用于比较分配资源与传输和分配（输配电）投资和集中资源的框架缺乏适当开发和使用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：*开发和示范评估传输限制对预期成本影响的方法。这些方法将利用包含直流和交流网络表示的多区域概率生产成本框架。现有的概率多区域方法，除了低效的蒙特卡罗方法外，不包括直流或交流流模型。这项工作将有利于公用事业公司，使他们能够评估资源和传输决策对生产成本的长期影响，同时严格考虑传输限制以及可能的负载和设备状态的整个范围。它还可以为非公用事业电力供应商、大型电力消费者和监管机构提供更好地了解大电力市场空间成本结构的手段，从而使他们受益。*为利用这些信息评估资源和交易建立一个理论上站得住但实际可行的框架。分解方法将用于开发理论上最优的方法来协调发电规划、大容量电力系统运行和输配电规划模型。将确定准则和程序，以便在理论上正确地计算边际成本和协调各种模式。这项工作对许多电力公司来说尤其有价值，他们开始评估分布式发电与集中式发电和需求方资源的优点。一些公用事业公司目前正在测试一些特别的程序，这些程序涉及分配规划方法与大容量电力规划和潮流模型的协调。* * * *

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. ****