Determination of Optimal Number and Placement of Phasor Measurement Units (PMU) in Transmission Networks
Date
2019-11
Authors
Journal Title
Journal ISSN
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Publisher
Pulchowk Campus
Abstract
With power demand in the world escalating day by day, interconnected power system
networks are becoming progressively complex. Therefore, it is necessary to monitor
and control operation of the system more accurately for smooth operation of the system.
The classical state estimation of power system is based upon measurements collected
from Supervisory Control and Data Acquisition System (SCADA), which is inadequate
to measure fast and dynamic phenomenon. Phasor Measurement Unit (PMU) provides
real time and synchronized phasor measurements with the use of Global Positioning
System (GPS) with great measurement accuracy. However, placement of PMU at each
and every node of the system is economically and technically not viable. Hence, PMUs
are optimally placed in the network using Recursive Security N (RSN) algorithm,
ensuring system's full observability and maximum reliability. Three step RSN
algorithm is coded in MATLAB and utilized here to optimally place PMUs in
Integrated Nepal Power System (INPS), considering presence of ZI buses. Then,
System Observability Redundancy Index (SORI) was calculated for the obtained sets
of optimal solution to ensure that the solution is most reliable among obtained sets.
Further, to ensure validity of the method, it is implemented in IEEE 14-bus, 30-bus and
57-bus system. In INPS, 2 sets of optimal solution with 21 number of PMUs was determined. Using
the same algorithm, a set of optimal solution with 3 PMUs, 4 sets of optimal solution
with 7 PMUs and 2 sets of optimal solution with 12 PMUs was determined for IEEE
14-bus, 30-bus and 57-bus system. Finally, SORI is calculated for each case and the
solution set that offers maximum SORI was selected. Maximum SORI for 30-bus, 57-
bus and INPS was found to be 33, 54 and 82 respectively.
Description
With power demand in the world escalating day by day, interconnected power system
networks are becoming progressively complex. Therefore, it is necessary to monitor
and control operation of the system more accurately for smooth operation of the system.
Keywords
Citation
MASTER OF SCIENCE IN RENEWABLE ENERGY ENGINEERING