Multi-objective measurement placement with new parallel Tabu Search method

Multi-objective measurement placement with new parallel Tabu Search method

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1 Multi-Objective Measurement Placement with New Parallel Tabu Search Method H. Mesgarnejad, Student Member, IEEE, and S.M. Shahrtash 1 Abstract--In this paper a new multi-objective approach is presented to find the optimal placement of Phasor Measurement Units (PMUs). The proposed method is based on a new parallel Tabu Search (TS) algorithm, and the lack of communication in substations can be considered, as a constraint. Finally, the solution for different cases are given and discussed. Index Terms—Observability, Power system state estimation, Optimization methods, Tabu Search, Phasor Measurement Unit I. INTRODUCTION Nowadays, Phasor Measurement Units (PMUs) are well known devices which have the capability of measuring the synchronized voltage and current phasors in power systems according to the received clock signals from GPS satellites. After the development of PMUs, power system observability has been extended and consequently, the system dynamic data has become available [1]. This improvement caused the extension of SCADA/EMS systems in functionality, which leads to the development of Wide Area Measurement Systems (WAMS) [1]. Furthermore, these units provide a considerable feature in power systems state estimation; where in spite of the traditional methods, this feature permits linearization of state estimation process which avoids the repetitive calculations with large matrices in iterative state estimation procedure [2]. PMU placement in each substation allows direct measurement of the network dynamic states. But according to the high installation costs and lack of communication systems, these units cannot be installed in all buses. This deficit shows a necessity for some procedures to specify the "unobservable areas" of the power system. To do so the observability rules were defined. The placement procedures with the assistance of those rules find the best location of PMUs according to the desired objectives. Therefore placement of PMUs has become the preliminary requisite of their applications. One solution is to use optimization procedures to minimize both cost function and unobservable areas. The PMU placement routines can be categorized in five major groups, i.e. optimization based [3], graph theory based [4], systematic methods [5], power system response based [6], and other initiative methods [7]. H. Mesgarnejad is M.Sc. Candidate in Iran University of Science and Technology (IUST), Iran (e-mails: hmesgarnejad@ieee.org , hmesgarnejad@ee.iust.ac.ir ). S. M. Shahrtash is assistant professor with the Department of Electrical Engineering, Center of Excellence for Power Systems Automation and Operation at Iran University of Science and Technology, and Director of Relay Laboratory (e-mail: Shahrtash@iust.ac.ir ). The placement methods have proposed different
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This note was uploaded on 01/29/2011 for the course ENGR 52 taught by Professor Mcmillan during the Spring '10 term at Baylor Med.

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Multi-objective measurement placement with new parallel Tabu Search method

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