Subjective–objective methodology on selection of power quality compensation technology in AC–DC network with electrified railways. Issue 16 (11th December 2018)

• Record Type: Journal Article
• Authors: Xu, Yizheng; Zheng, Weijie; Xu, Dechao; Zhang, Xing
• Is Part Of: Journal of engineering. Volume 2019:Issue 16(2019)
• Page Start: 982
• Page End: 986
• Publication Date: 2018-12-11
• Subjects: railways -- power factor -- railway electrification -- compensation -- power supply quality; subjective–objective methodology -- power quality compensation technology -- electrified railways -- DC devices -- cause power quality issues -- low‐power factor -- effective compensation technology -- supply bus -- different buses -- different PQ compensation technologies -- network bus side -- different network buses -- different issues -- different PQ issues -- subjective weighting factor -- objective weighting factor -- 124‐bus AC–DC network; Engineering -- Periodicals; Engineering; Electronic journals; Periodicals; 620.005
• DOI: 10.1049/joe.2018.8545
• Languages: English
• ISSNs: 2051-3305

Abstract

Abstract : Electrified railways contain DC devices and cause power quality (PQ) issues such as harmonics, unbalance, and low‐power factor, which should be solved by the most effective compensation technology to reduce the cost. In addition, it is common that more than one issue is caused at a supply bus, with either some issue affecting more than the others or all issues equally affecting, depending on different buses. Different PQ compensation technologies are used in the past work for the improvement of PQ at the network bus side. However, few of them have provided theoretical justification on which technologies should be selected for different network buses with different issues. This study investigates a subjective–objective methodology to provide suggestions on which compensation technologies should be selected for network buses, why and how. The importance of different PQ issues will be obtained and shown as overall weighting factors. The overall weighting factors are derived from the subjective weighting factor, obtained from existing industry standards, and the objective weighting factor, obtained from the entropy of information. The methodology will be applied to a real 124‐bus AC–DC network with electrified railways. Based on the overall weighting factor obtained, the most effective compensation technology can be determined.