The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper proposes a new methodology for solving the transmission expansion planning problem, considering the "N-1" security criterion. The proposed optimization tool, classified as constructive metaheuristic, is built combining two techniques: a constructive heuristic algorithm and an evolutionary metaheuristic. A linearized DC network model that includes transmission losses is adopted...
This paper proposes a new methodology to solve the transmission expansion planning (TEP) problem based on relaxed N-1 criteria. An optimization technique is used to determine the best TEP plans through an adaptive multi-operator evolutionary approach. These plans are obtained by ensuring the N-1 security criterion and also relaxing it to accept pre-specified levels of equipment overload. The major...
This paper presents a methodology for assessing the reliability indices for composite generation and transmission systems based on Support Vector Machines (SVM). The importance of SVMs is its high generalization ability. The SVMs are used to classify data into two distinct classes. These can be named positive and negative. Thus, the basic idea is to classify the system states into success or failure...
This paper presents a new approach to assess reliability indices in composite generation and transmission systems, considering high penetration of renewable energy. The main idea is to combine a Cross-Entropy (CE)-based optimization approach and quasi-sequential Monte Carlo simulation (MCS) to obtain an auxiliary sampling distribution, which can minimize the variance of the reliability index estimators...
ALICE is the experiment dedicated to the study of the quark gluon plasma in heavy-ion collisions at the CERN LHC. Improvements of the ALICE detectors are envisaged for the upgrade of HL-LHC in year 2018. In particular, in forward region, the Muon Forward Tracker (MFT) is a proposal of a new tracking device, to be added in complement with the current Muon Spectrometer. The main motivations are to overcome...
This study presents a performance comparison of metaheuristics to solve transmission expansion planning (TEP) problems in power systems. The proposed methodology includes the search for the least cost solution, bearing in mind investments and operational costs related to ohmic transmission losses. The multi-stage nature of the TEP is also taken into consideration. Case studies on a small system and...
This paper proposes a methodology to solve the multi-stage transmission expansion planning (TEP) problem based on metaheuristic optimization techniques, as load and generation evolve. A discussion on how to consider security criteria using the well-known deterministic “N-1” approach and the probabilistic reliability-based method is presented through a case study system.
This paper proposes a new methodology to assess system reliability considering time-dependent power sources and loads. Based on a non-sequential Monte Carlo simulation (MCS), the proposed method uses a multilevel non-aggregate Markov model to represent different chronological load patterns per area or bus. As a result, the fluctuation of generating capacities, a characteristic of renewable energy...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.