Bernstein Global Optimization Approach for Distributed Optimal Power Flow Problem Incorporating Emission Costs

被引：0

作者：

Patil, B. V. ^{[1
]}

Sampath, L. P. M. I. ^{[2
]}

Ranjan, Bharath K. ^{[3
]}

Krishnan, Ashok ^{[4
]}

Eddy, Y. S. Foo ^{[4
]}

机构：

[1] Cambridge Ctr Adv Res & Educ Singapore CARES, Singapore, Singapore

[2] Nanyang Technol Univ, Interdisciplinary Grad Sch, Singapore, Singapore

[3] Amrita Vishwa Vidyapeetham, Dept Elect & Elect Engn, Amritapuri, India

[4] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore, Singapore

来源：

PROCEEDINGS OF 2017 INTERNATIONAL CONFERENCE ON TECHNOLOGICAL ADVANCEMENTS IN POWER AND ENERGY (TAP ENERGY): EXPLORING ENERGY SOLUTIONS FOR AN INTELLIGENT POWER GRID | 2017年

基金：

新加坡国家研究基金会;

关键词：

Bernstein form; carbon dioxide emissions; distributed optimal power flow; g lobal o ptimization; optimal power flow;

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：

This paper proposes a distributed architecture for solving the optimal power flow (OPF) p roblem i n power systems operation. Specifically, a c entralized s olution approach (to solve single optimization problem) presented in the literature is posed as solving different local optimization problems. The Bernstein global optimization approach is used to solve these local optimization problems in a co-ordinated and distributed fashion. The proposed approach is implemented on a typical 3-bus power system, wherein the cost of CO2 emissions is also considered. The overall results obtained are satisfactory.

引用

页数：6

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