Title :
Reliability-Based Incremental PMU Placement
Author :
Yang Wang ; Caisheng Wang ; Wenyuan Li ; Jian Li ; Feng Lin
Author_Institution :
Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI, USA
Abstract :
This paper presents a new reliability-based incremental phasor measurement unit (PMU) placement method via an enumeration-based integer linear programming optimization approach. By evaluating the proposed reliability indices for node and system observability, incremental PMUs are sequentially placed on the locations where the reliability of entire system´s observability can be best improved at each step. As a result, a pre-set desired reliability of the system´s observability can be achieved while using the minimal number of PMUs. The proposed method is generic and flexible in a way that different kinds of failures that impact the reliability of system observability can be easily included in the method. The 1st-order and 2nd-order failures of PMUs and lines are considered in this paper. The proposed method is validated using a 4-node system, the IEEE 14-node system and the IEEE RTS 96 test system. Simulation results show that the proposed method is effective and efficient in enhancing the reliability of observability for any system regardless of what the initial PMU placement of the system may be.
Keywords :
integer programming; linear programming; phasor measurement; power system reliability; 1st-order failure; 2nd-order failure; 4-node system; IEEE 14-node system; IEEE RTS 96-test system; enumeration-based integer linear programming optimization approach; phasor measurement unit; pre-set desired reliability; reliability indices; reliability-based incremental PMU placement method; system observability reliability; Linear programming; Observability; Optimization; Phasor measurement units; Power system reliability; Enumeration method; liner integer programming; observability; phasor measurement unit (PMU) placement; reliability;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2014.2310182