Title
Probabilistic PMU Placement in Electric Power Networks: An MILP-Based Multiobjective Model
Abstract
This paper presents a multiobjective probabilistic model for the placement of phasor measurement units (PMUs) in electrical power networks. The proposed model simultaneously optimizes two objectives functions: 1) minimizes the number of PMUs; and 2) maximizes the expected value of system's redundancy (or minimizes the unobservability of the system). Incorporating the impact of zero-injection buses, an efficient formulation is used to evaluate the probability of unobservability of buses resulted from line outages and PMU loss. The extracted formulation is based on the mixed integer linear programming (MILP) framework, which is efficiently solvable by high-performance commercial solvers. This multiobjective optimization problem (MOP) is solved by augmented epsilon-constraint and weighting approach. Accordingly, two new indices are introduced to compare these two multiobjective methods. Finally, the ultimate solution among the Pareto front is recognized using a fuzzy decision-making process. The IEEE 57-bus test system is used to examine the effectiveness of the proposed frameworks.
Year
DOI
Venue
2015
10.1109/TII.2015.2389613
Industrial Informatics, IEEE Transactions  
Keywords
Field
DocType
pareto optimisation,integer programming,linear programming,phasor measurement,probability,ieee 57-bus test system,milp,pmu numbe minimization,pareto front,electric power network,fuzzy decision-making process,mixed integer linear programming,multiobjective model,multiobjective optimization problem,multiobjective probabilistic model,probabilistic pmu placement,system redundancy maximization,unobservability minimization,zero injection bus,minimum distance to utopia point (mdup),mixed integer linear programming (milp),multi-objective optimal pmu placement (mopp),phasor measurement unit (pmu),multiobjective optimal pmu placement (mopp),informatics,availability,production,redundancy
Mathematical optimization,Weighting,Computer science,Phasor,Fuzzy logic,Multi-objective optimization,Control engineering,Redundancy (engineering),Integer programming,Linear programming,Probabilistic logic
Journal
Volume
Issue
ISSN
11
2
1551-3203
Citations 
PageRank 
References 
7
0.59
5
Authors
4
Name
Order
Citations
PageRank
Jamshid Aghaei15419.74
Amir Baharvandi270.59
Abdorreza Rabiee3111.37
Mohammad-Amin Akbari481.98