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PSS Parameters And PMU Placement Optimization Based On Taguchi Method

Posted on:2011-02-19Degree:MasterType:Thesis
Country:ChinaCandidate:Y TangFull Text:PDF
GTID:2132360308458018Subject:Electrical engineering
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Taguchi robust design method is a very mature robust design experiment method which combined the economic development experience of Japan. From an engineering point of view its aim is to design the best products with minimal social losses. In the design process, orthogonal tools is used for experimental arrangements, the quality characteristics index and the signal to noise ratio (S /N) index are obtained by the experiments which are used to characterize product quality with the "difference between the target" and "the ability to resist noise" of the two properties, and then a two-stage process is used to extract the most cost-effective solution. As an excellent method of robust design, it has a large number of applications in many engineering fields. In this paper, by considering the actual of the PSS parameter optimization problem and the PMU optimization placement problem, based on the basic principle of Taguchi robust design method, mainly for the following work:â‘ Apply Power System Stabilizer (PSS) is an effective way to damp out low-frequency oscillations which parameters design has a direct effect on its performance. In order to improve the robustness of designed PSS parameters and overcome the shortcoming of the conventional Eigenvalue Analysis method which was used to design PSS parameters. This paper present a Genetic Algorithm (GA) designed PSS parameters which based on Taguchi robust method and Lyapunov Function. For the sake of reducing the computing time and considering enough information needed by the design, based on the Taguchi design method, the objective function of this design is to maximize the Signal Noise Ratio (SNR) calculated by the selected Lyapunov Function which can just show the information of the system needed by the PSS parameters design. At last, the testing result of two test systems show that the PSS parameters designed by the presented method has a good quality of robustness and ability of damping out the oscillations which is better than the PSS parameters designed by conventional method.â‘¡Phasor Measurement Unit (PMU) as the core component of the Wide-Area Measurement Systems (WAMS) has begun to apply to the entire power system real-time analysis and monitoring. It is known that the traditional PMU placement methods will loss the observing capabilities of the power system under the N-1 condition, while fully considering the N-1 condition PMU Placement methods need too many PMUs to ensure the entire power system observing capabilities which economy is poor. For the sake of overcoming the shortcomings of the above methods, this paper presented a best cost - performance ratio PMU placement method based on the principles of Taguchi robust design method. In this paper, based on complex network theory, a set of integrated vulnerability index calculated by complementary vulnerability index set are used to identify the important lines in the system. By doing this, the aim of the design is to focus on ensure the important lines'observation and the robustness of the placement plan under the N-1 noise. In the design, the Taguchi quality characteristics and the S/N indexes is calculated to measure the PMU placement plan's observing capabilities and robustness under the N-1 noise, at last, a two stage optimization procedure is used to determine the final plan. And finally, two testing system is used to test the performance of the PMU placement plan, the results show that this method is very effective and practical.The successful application of the above two problems show, Taguchi robust design method as a mature, effective and economical robust design experiments method, its theoretical maturity, simple and effective, common good and very close to engineering practice, in Power System Engineering issues must have a broad prospect of application areas.
Keywords/Search Tags:Taguchi robust design method, Lyapunov Function, PSS, Robustness, PMU placement, N-1 fault
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