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Interval optimal power flow applied to distribution networks under uncertainty of loads and renewable resources 被引量:4

Interval optimal power flow applied to distribution networks under uncertainty of loads and renewable resources
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摘要 Optimal power flow(OPF) has been used for energy dispatching in active distribution networks.To satisfy constraints fully and achieve strict operational bounds under the uncertainties from loads and sources, this paper derives an interval optimal power flow(I-OPF)method employing affine arithmetic and interval Taylor expansion.An enhanced I-OPF method based on successive linear approximation and second-order cone programming is developed to improve solution accuracy.The proposed methods are benchmarked against Monte Carlo simulation(MCS) and stochastic OPF.Tests on a modified IEEE 33-bus system and a real 113-bus distribution network validate the effectiveness and applicability of the proposed methods. Optimal power flow(OPF) has been used for energy dispatching in active distribution networks.To satisfy constraints fully and achieve strict operational bounds under the uncertainties from loads and sources, this paper derives an interval optimal power flow(I-OPF)method employing affine arithmetic and interval Taylor expansion.An enhanced I-OPF method based on successive linear approximation and second-order cone programming is developed to improve solution accuracy.The proposed methods are benchmarked against Monte Carlo simulation(MCS) and stochastic OPF.Tests on a modified IEEE 33-bus system and a real 113-bus distribution network validate the effectiveness and applicability of the proposed methods.
出处 《Journal of Modern Power Systems and Clean Energy》 SCIE EI CSCD 2019年第1期139-150,共12页 现代电力系统与清洁能源学报(英文)
基金 supported by Fundamental Research Funds for the Central Universities (No.2016XS02) National Natural Science Foundation of China (No.61772167)
关键词 Active distribution network Optimal power flow INTERVAL UNCERTAINTY AFFINE ARITHMETIC Second-order CONE programming Active distribution network Optimal power flow Interval uncertainty Affine arithmetic Second-order cone programming
作者简介 Pengwei CHEN received the B.S.degree from North China Electric Power University(NCEPU)in 2014.Currently,he is pursuing the Ph.D.degree at NCEPU,Beijing China.His research interests include power quality and smart distribution network.chenpw2014@163.com;Xiangning XIAO received the M.S.degree in electrical engineering from North China Electric Power University(NCEPU),Beijing,China,in 1981.He was a Senior Research Scholar at the University of Bari,Bari,Italy,from 1991 to 1992.Currently,he is a professor of electrical engineering at NCEPU.His research interests include power electronics in the power grid with new energy resources,power quality and its improvement in power system.xxn@ncepu.edu.cn;Xuhui WANG received his Ph.D.degree from the University of Science and Technology of China in 2009.Currently he is an associate professor in in the School of Mathematics of Hefei University of Technology.His research interests include optimization algorithms and statistical analysis.xhw@hfut.edu.cn.
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