Chain Rule for Extracting Resilience Procurement Costs from Locational Marginal Prices

IF 6.9 2区工程技术 Q2 ENERGY & FUELS

CSEE Journal of Power and Energy Systems Pub Date : 2023-06-27 DOI:10.17775/CSEEJPES.2022.04830

Yifei Wang;Tong Zhu;Tiancong Chen;Mohammad Shahidehpour;Qingshan Xu

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引用次数: 0

Abstract

Power system resilience procurement costs in $N$ - $k$ contingencies have gained more prominence as number of extreme events continues to increase. A chain rule is presented in this paper for extracting resilience procurement costs from a fully decomposed locational marginal price (LMP) model. First, power transfer distribution factor (PTDF) matrices with AC power flow (i.e., AC-PTDF) are determined. AC-PTDF and AC-LODF (line outage distribution factor) equations are derived for $N$ - $k$ contingencies and a fully decomposed LMP model is developed where generation and transmission security components are established for specific contingencies. Furthermore, resilience procurement costs can be measured at different buses for the proposed security components. Impact of $N$ - $k$ contingencies on resilience procurement costs at specific buses can be determined as proposed security components will gain more insight for resilience procurement in power systems. The modified IEEE 6-bus and 118-bus systems are adopted to verify effectiveness of the proposed resilience procurement method.

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从当地边际价格中提取复原力采购成本的连锁规则

随着极端事件数量的不断增加，电力系统在 $N$ - $k$ 应急情况下的复原力采购成本日益突出。本文提出了一种从完全分解的局部边际价格（LMP）模型中提取弹性采购成本的连锁规则。首先，确定交流功率流（即 AC-PTDF）的功率转移分配系数（PTDF）矩阵。针对 $N$ - $k$ 突发事件推导出 AC-PTDF 和 AC-LODF（线路停电分配系数）方程，并开发出一个完全分解的 LMP 模型，其中针对特定突发事件建立了发电和输电安全组件。此外，还可在不同的总线上测量拟议安全组件的恢复能力采购成本。可以确定 $N$ - $k$ 突发事件对特定总线的恢复能力采购成本的影响，因为所提出的安全组件将为电力系统的恢复能力采购提供更多启示。采用修改后的 IEEE 6 总线和 118 总线系统来验证建议的弹性采购方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

CSEE Journal of Power and Energy Systems Energy-Energy (all)

CiteScore

11.80

自引率

12.70%

发文量

389

审稿时长

26 weeks

期刊介绍： The CSEE Journal of Power and Energy Systems (JPES) is an international bimonthly journal published by the Chinese Society for Electrical Engineering (CSEE) in collaboration with CEPRI (China Electric Power Research Institute) and IEEE (The Institute of Electrical and Electronics Engineers) Inc. Indexed by SCI, Scopus, INSPEC, CSAD (Chinese Science Abstracts Database), DOAJ, and ProQuest, it serves as a platform for reporting cutting-edge theories, methods, technologies, and applications shaping the development of power systems in energy transition. The journal offers authors an international platform to enhance the reach and impact of their contributions.