Affiliations: [a] BEARS, University Town, NUS Campus, Singapore
| [b] Department of Electrical and Electronics Engineering Department, NIT Surathkal, India
| [c] Department of Electrical Engineering, College of Engineering, King Saud University, Riyadh, Saudi Arabia
| [d] Department of Electrical Engineering, College of Engineering, Majmaah University, Al Majma’ah, Saudi Arabia
Correspondence:
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Corresponding author. Majed A. Alotaibi, Department of Electrical Engineering, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia. E-mail: majedalotaibi@ksu.edu.sa.
Abstract: PMU can directly measure positive sequence voltage, phase and system frequency. In this paper, the design and implementation for optimum placement of PMU in power system network (PSN) has been performed using 5 different intelligent approaches at an emulation platform. Different case studies based on IEEE 7, 14 and 30 bus system have been performed and analyzed. In the studies, PMU device is used for the measurement of voltage and current magnitude as well as its phase and its performance has been compared with measured real signals of PSN. PMU measurement gives the accurate results and reliability to PSN. But PMUs are not economical, so PSN operator needs to install a minimum number of PMU in PSN so that system should be fully observable in a real-time scenario. In this paper for optimal placement of PMU, five different intelligent methods have been analyzed for three different bus systems and obtained results are compared. For the further validation of selected PMUs for the PSN, a state estimation using WLS algorithm has been performed using conventional data and PMU data on IEEE14 and IEEE30 bus systems. The obtained results for voltage estimation error and phase estimation error with and without PMU data are compared.
Keywords: Condition monitoring, PMU, placement, wide area monitoring, smart grid
