并行计算在安全约束下优化潮流分析中的应用

IF 0.3 4区 工程技术 Q4 ENGINEERING, MULTIDISCIPLINARY
D. Álvarez, D. Rodriguez, S. Rivera
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引用次数: 0

摘要

提出了一种利用并行计算求解安全约束最优潮流优化问题的新方法。在该方法中,通过最大化正常运行期间的市场剩余以及一组分支和发电机的突发事件,在SCOPF中考虑了开关并联电容器、发电功率坡道和需求响应。采用非线性内点法求解优化问题。偶然性评估在多个CPU内核中并行进行,以减少计算时间。此外,还使用了ARPA- go竞赛中使用的测试系统,并与ARPA基准测试结果进行了比较,以评估所提出的算法。数值结果表明,该方法适用于并行计算的快速SCOPF。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parallel computing for reducing time in security constrained optimal power flow analysis
This paper presents a novel approach for solving the security-constrained optimal power flow (SCOPF) optimization problem using parallel Computing. In this approach, switched shunt capacitors, generation power ramp, and demand response are considered in the SCOPF by maximizing the market surplus during regular operation and for a set of contingencies of branches and generators. The optimization problem is solved using the Nonlinear Interior Point Method. The contingency assessment is paralleled in multiple CPU cores to decrease the computation time. Additionally, the test systems used in ARPA-GO competition were used and compared with the ARPA benchmark results to assess the proposed algorithm. The numerical results show this method is suitable for fast SCOPF using paralleling Computing.
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来源期刊
CiteScore
0.70
自引率
0.00%
发文量
26
审稿时长
6 months
期刊介绍: International Journal of Numerical Methods for Calculation and Design in Engineering (RIMNI) contributes to the spread of theoretical advances and practical applications of numerical methods in engineering and other applied sciences. RIMNI publishes articles written in Spanish, Portuguese and English. The scope of the journal includes mathematical and numerical models of engineering problems, development and application of numerical methods, advances in software, computer design innovations, educational aspects of numerical methods, etc. RIMNI is an essential source of information for scientifics and engineers in numerical methods theory and applications. RIMNI contributes to the interdisciplinar exchange and thus shortens the distance between theoretical developments and practical applications.
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