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Optimal Placement of Phasor Measurement Units Using a Modified Canonical Genetic Algorithm for Observability Analysis

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Journal of Mechanics Engineering and Automation 2014年第3期4卷 187-194页

作者： Rodrigo Albuquerque Frazao Aureio Luiz Magalhfies Denisson Oliveira Shigeaki Lima Igor Santos Grenoble electrical Engineering Laboratory Grenoble Institute of Technology Grenoble 38402 France Institute of electrical power Svstems. Federal University ofltaiub6. Itaiub6 37500-903. MG. Brazil Institute of electrical Engineering Federal University of Maranh6o S6o Luis 65080-040 MA Brazil

This paper proposes a method for optimal placement of synchronized PMUs （phasor measurement units） in electrical power systems using a MCGA （modified canonical genetic algorithm）, which the goal is to determine the minimum number of PMUs, as well as the optimal location of these units to ensure the complete topological observability of the system. In case of more than one solution, a strategy of analysis of the design matrix rank is applied to determine the solution with the lower number of critical measurements. In the proposed method of placement, modifications are made in the crossover and mutation genetic operators, as well as in the formation of the subpopulation, and are considered restrictive hypotheses in the search space to improve the performance in solving the optimization problem. Simulations are performed using the IEEE 14-bus, IEEE 30-bus and New England 39-bus test systems. The proposed method is applied on the IEEE 118-bus test system considering the presence of observable zones formed by conventional measurements.

关键词： Synchronized phasor measurement units electrical power systems modified canonical genetic algorithm topologicalobservability critical measurements.

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Availability. Based Wind Farm Design

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Journal of Energy and power Engineering 2013年第5期7卷 937-948页

作者： Elio Chiodo Davide Lauria Cosimo Pisani Domenico Villacci electrical Engineering Department University of Naples Naples 80125 Italy Engineering Department University of Sannio Benevento 82100 Italy

The paper develops a methodology for the optimal sizing of a generic wind farms, focusing primarily on reliability aspects, besides the traditional economic ones. A specific objective function is proposed in order to select the better wind farm configuration, based upon the profits related to the economic trading in the deregulated electric market and the costs due to investment, operation ＆ management, and to system unavailability. This objective function is accurately investigated as a function of the turbines number in order to derive the most convenient alternative, which implies also the optimal choice of the single wind generators size. The ranking coming out from this assessment is then compared with that one established in terms of expected load not supplied. A compromise choice, between the best alternatives provided by the two criteria has finally adopted. A simple numerical application is reported in the last part of the paper for testing the validity of the proposed approach. Also uncertainty aspects in the basic input parameters are taken into account and possible way of dealing with them is briefly illustrated.

关键词： Availability electrical power systems reliability wind farms uncertainty.

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