1,720,979 research outputs found
Optimal Reliability Allocation Under Uncertain Conditions, with Application to Hybrid Electric Vehicle Design
No full textProbabilistic Approach to Series Compensation Design
No full textSeries capacitive compensation in electrical power systems is generally recognized as a very economical and powerful means for increasing the transmission capability of long-distance transmission lines, resulting in relevant technical advantages in power system behavior: increased steady-state and transient stability margins, reduced voltage drop in receiving systems during occurrence of severe contingencies and reduction of transmission losses. In this paper, a general method for choosing the series compensation degree is proposed, focusing the attention on the transient stability aspect. The approach, based upon a probabilistic framework, allows to properly select - at the design stage - the optimal degree of series compensation in order to contain the instability risk at an acceptable value. The transient stability problem is formulated by using the transient energy function method. In order to show the feasibility of the proposed approach, a numerical application to the Cigre test network is performed in the final part of the paper
Analytical Evaluation and Robustness Analysis of Power System Transient Stability Probability
No full textAnalytical Evaluation and Robustness Analysis of Power System Transient Stability Probability
No full text
Transient Stability Probability Assessment and Statistical Estimation
No full textIn the paper, a general analytical method for the probabilistic evaluation of power system transient stability is discussed and a new statistical inference approach for this evaluation is proposed. In particular, the transient stability probability (TSP) is defined and evaluated by taking into account the random nature of both the system loads and the fault clearing times (FCT). The paper is focused upon the aspect of statistical estimation of the TSP - a topic generally neglected in literature - on the basis of the obvious consideration that the parameters affecting the TSP (e.g. mean value and variance of loads, FCTs, etc.) are not known, but must be estimated. New properties of point and interval estimations of the TSP are derived and, in particular, an efficient "lower confidence bound" for the TSP estimation is proposed, based upon a suitable Beta probability distribution. In order to show the feasibility of the proposed approach, a numerical application to the Cigre test network is illustrated. Moreover, extensive Monte Carlo simulations to evaluate the estimator efficiency are performed. In the final part of the paper, also a practical example of possible application to the optimization of system design is illustrated. The application of the method is illustrated and performed by using the potential energy boundary surface method, but the estimation results hold their validity irrespective of the method adopted for the transient stability problem formulation and resolution
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