Using the Matpower Optimal Scheduling Tool to Test Power System Operation Methodologies Under Uncertainty
Using the Matpower Optimal Scheduling Tool to Test Power System Operation Methodologies Under Uncertainty
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DOI：
10.1109/tste.2018.2865454
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发表时间：
2019-07
影响因子：
8.8
通讯作者：
A. Lamadrid;Daniel Muñoz-Álvarez;C. Murillo-Sánchez;R. Zimmerman;Hae-Sook Shin;R. Thomas
中科院分区：
文献类型：
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作者：
A. Lamadrid;Daniel Muñoz-Álvarez;C. Murillo-Sánchez;R. Zimmerman;Hae-Sook Shin;R. Thomas
考虑多阶段不确定性的短期电力系统运行规划问题不仅在设计用于实施它们的易处理的优化框架方面，而且在这些框架的测试和基准测试方面都构成了重大挑战。本文提出了一种使用开源Matpower优化调度工具（MOST）的实现，研究和比较一个随机的提前一天，安全约束的机组组合问题与一个更传统的确定性方法。比较是基于一个测试方法的日前计划，旨在产生预期的性能估计与建模假设的偏差最小。重点是在提出的随机方法，明确建模的操作特性的技术，其空间和时间的耦合，并确保可靠性和充分性的监管约束。的问题配方和测试方法进行了描述，并从MOST的模拟结果，讨论未来的市场设计的影响。所有用于复制模拟的代码和数据都是在线提供的。
Short-term power system operational planning problems that consider multi-stage uncertainties pose significant challenges, not only in the design of tractable optimization frameworks for implementing them, but also in the testing and benchmarking of such frameworks. This paper presents an implementation using the open-source Matpower Optimal Scheduling Tool (MOST) to study and compare a stochastic day-ahead, security-constrained unit commitment problem with a more traditional deterministic approach. The comparison is based on a testing methodology for day-ahead plans designed to produce expected performance estimates with minimal biases from modeling assumptions. Emphasis is given in the proposed stochastic approach to explicit modeling of the operational characteristics of the technologies available, their spatial and temporal coupling, and the regulatory constraints that assure reliability and adequacy. The problem formulations and testing methodology are described and simulation results from MOST are presented, with discussion of implications for future market design. All of the code and data to replicate the simulations is provided online.