
In view of the instance that miscellaneous types of PMUs exist with different number of analog channels and function modules, an advanced PMU with more functions or channels normally costs more money than a simple PMU. In both economic and planning reasons, it is necessary to conduct a study in designing a PMU placement constrained by number of analog channels. In this study, both Integer Linear Programming method and Genetic Algorithm are implemented to optimize the PMU placement considering number of analog channels. The proposed methods are tested on IEEE-14 and IEEE-30 buses systems. Detailed placement strategies are presented for the test systems. In conclusion, a comparison and discussion of the usability of both methods are concluded.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 9 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
