Markov Model of Renewable Resources for Reliability Assessment of Distribution Systems

被引：0

作者：

Khazraj, Hesam ^{[1
]}

da Silva, F. Faria ^{[1
]}

Bak, Claus Leth ^{[1
]}

Hajibashi, Mazaher ^{[2
]}

机构：

[1] Aalborg Univ, Dept Energy Technol, Aalborg, Denmark

[2] Isfahan Univ Technol, Dept Elect & Comp Engn, Esfahan, Iran

来源：

2018 IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2018 IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE) | 2018年

关键词：

reliability assessment; Markov model; wind power generation; battery storage; DISTRIBUTION NETWORK; ENERGY;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A daily operation of distribution network with the integration of wind power generation (WPG) is presented in this paper. In this study is considered reliability assessment of distribution network, which is one of the key indices to measure the impact of the renewable units' outage such as WPG. The proposed framework maximizes the distribution network operator (DNO) benefits in short-term scheduling model. A Markov model is proposed to a comprehensive reliability assessment of WPG and battery storage system (BSS). The properties of the main parts of the BSS and WPG and their effects on the distribution system reliability is also provided by the Markov model. A scenario-based method is employed to model the uncertainties of WPG and load value. The suggested model is successfully examined on the 9-bus standard system.

引用

页数：6

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