Chance-Constrained System of Systems Based Operation of Power Systems

被引：66

作者：

Kargarian, Amin ^{[1
]}

Fu, Yong ^{[1
]}

Wu, Hongyu ^{[2
]}

机构：

[1] Mississippi State Univ, Dept Elect & Comp Engn, Mississippi State, MS 39762 USA

[2] Natl Renewable Energy Lab, Power Syst Engn Ctr, Golden, CO 80401 USA

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 2016年 / 31卷 / 05期

基金：

美国国家科学基金会;

关键词：

Active distribution grid; chance-constrained programing; distributed optimization; generation scheduling; stochastic programming; system of systems; ACTIVE DISTRIBUTION GRIDS; SECURITY;

D O I：

10.1109/TPWRS.2015.2499275

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];

摘要：

In this paper, a chance-constrained system of systems (SoS) based decision-making approach is presented for stochastic scheduling of power systems encompassing active distribution grids. Based on the concept of SoS, the independent system operator (ISO) and distribution companies (DISCOs) are modeled as self-governing systems. These systems collaborate with each other to run the entire power system in a secure and economic manner. Each self-governing system accounts for its local reserve requirements and line flow constraints with respect to the uncertainties of load and renewable energy resources. A set of chance constraints are formulated to model the interactions between the ISO and DISCOs. The proposed model is solved by using analytical target cascading (ATC) method, a distributed optimization algorithm in which only a limited amount of information is exchanged between collaborative ISO and DISCOs. In this paper, a 6-bus and a modified IEEE 118-bus power systems are studied to show the effectiveness of the proposed algorithm.

引用

页码：3404 / 3413

页数：10

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