Interval optimal power flow applied to distribution networks under uncertainty of loads and renewable resources
Interval optimal power flow applied to distribution networks under uncertainty of loads and renewable resources作者机构：North China Electric Power University Hefei University of Technology
出 版 物：《Journal of Modern Power Systems and Clean Energy》 (现代电力系统与清洁能源学报（英文）)
年 卷 期：2019年第7卷第1期
页 面：139-150页
核心收录：
学科分类：080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学]
基 金：supported by Fundamental Research Funds for the Central Universities (No.2016XS02) National Natural Science Foundation of China (No.61772167)
主 题：Active distribution network Optimal power flow Interval uncertainty Affine arithmetic Second-order cone programming
摘 要：Optimal power flow(OPF) has been used for energy dispatching in active distribution *** 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 *** enhanced I-OPF method based on successive linear approximation and second-order cone programming is developed to improve solution *** proposed methods are benchmarked against Monte Carlo simulation(MCS) and stochastic *** on a modified IEEE 33-bus system and a real 113-bus distribution network validate the effectiveness and applicability of the proposed methods.
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