Robust Optimization-Based AC Optimal Power Flow Considering Wind and Solar Power Uncertainty

被引：0

作者：

Samakpong, Titipong ^{[1
]}

Ongsakul, Weerakorn ^{[2
]}

Polprasert, Jirawadee ^{[3
]}

机构：

[1] Asian Inst Technol, Elect Engn, Energy Field Study, Sch Environm Resources & Dev, Klongluang, Pathumthani, Thailand

[2] Asian Inst Technol, Sch Environm Resources & Dev, Klongluang, Pathumthani, Thailand

[3] Asian Inst Technol, Klongluang, Pathumthani, Thailand

来源：

PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE & UTILITY EXHIBITION ON GREEN ENERGY FOR SUSTAINABLE DEVELOPMENT (ICUE) | 2014年

关键词：

optimal power flow; robust optimization; solar uncertainty; wind uncertainty; UNIT COMMITMENT; SECURITY;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

In this paper, robust optimization based AC optimal power flow (ROPF) considering wind and solar power uncertainty is proposed. ROPF is used to determine optimal power dispatch and locational marginal prices in a day-ahead market while limiting the risk of dispatch cost variation. ROPF is tested on PJM 5-bus system integrating wind and solar PV generation. Simulation results indicate that ROPF results in a lower expected dispatch cost at the same risk preference level than a stochastic nonlinear programming (SNP) approach. Accordingly, it is potentially useful for day-ahead market operator in policy and decision making.

引用

页数：7

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