Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 14 of 14 for “"Loss Minimization"”.
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Loss minimization in the modified algorithm of load flow analysis in industrial power system
The research looks at an alternative technique of loss minimization using B-loss formula in solving load flow analysis. A modeling of electrical system elements is first developed. A literature review on the history and development of load flow analysis and loss minimization especially on the use …
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Multi-facts devices installation for loss minimization and techno-economic impact assessment using EPSO approach
… of single-unit FACTS device installation with loss minimization, voltage monitoring and taking into account the cost of installation in the system. The verification was conducted through comparative studies with Single-Objective Evolutionary Programming (SOEP) and Single-Objective Artificial …
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Comprehensive loss optimization of induction motor drives
… past few decades has enabled the development of loss minimization control algorithms. With the technological advancements in power semiconductor switching devices such as insulated gate bipolar transistors and gate commutated thyristors, induction motor drives are increasingly used in …
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Power System Control with Distributed Flexible AC Transmission System Devices
… injections, line power flows, and real power losses with respect to line impedance. These sensitivities enable us to identify and develop appropriate applications for the use of D-FACTS devices for the enhanced operation and control of the grid. Specific applications of D-FACTS devices for …
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Deep Representation Learning on Labeled Graphs
… model parameters to more directly minimize the loss function. In our experiments, this direct loss minimization translates to improved accuracy and robustness on real network data. We demonstrate the robustness of RCC in settings where local classification is very noisy, settings that are …
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AC Optimal Power Flow for Physically and Economically Informed Grid Decarbonization
… equilibria obtained via economic dispatch and loss minimization. Additionally, a Jacobian-based N-1 screening was performed, identifying critical contingencies requiring corrective actions. These insights, as well as considerations from the Puerto Rico 100 Study and PREPA’s 10Year Plan, were …
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Graph analytics on relational databases
… thesis, we used stochastic gradient descent, a loss-minimization algorithm applied in many machine learning and graph analytics queries, as the example iterative algorithm. We implemented two different approaches for emulating a vertex-centric interface on a leading column-oriented database, …
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Control of a High-speed (<50,000 rpm) Interior Permanent Magnet Synchronous Motor
… yet their performance is often constrained by losses, parameter variations, and deadtime effects. This thesis investigates advanced field-oriented control (FOC) strategies to address these challenges, with a particular focus on improving efficiency and robustness in HS-IPMSM operation. A …
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A Heuristic Nonlinear Constructive Method for Electric Power Distribution System Reconfiguration
… between circuits to provide alternate feeds. The losses would be minimized if all switches were closed, but this is not done because it complicates the system's protection against overcurrents. Whenever a component fails, some of the switches must be operated to restore power to as many customers …
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A high-current and low-loss high-temperature superconducting cable for nuclear fusion applications
… and fusion magnets, is their relatively high AC loss. In this dissertation, a novel high-current and low-loss HTS cable, Patterned superconductors for AC loss minimization and current maximization (PSALM), is proposed and investigated to tackle the AC loss problem. Compared with the existing HTS …
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Uplift modeling with multiple treatments
… in line with the machine learning philosophy of loss minimization on the training set. As far as we are aware of, CTS is the first uplift algorithm can handle multiple treatments and continuous responses. Experiments on both synthetic data and industry-provided data show that our algorithm leads …
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Designing Reactive Power Control Rules for Smart Inverters using Machine Learning
… to minimize voltage deviations and power losses in the grid. Reactive power control and globally optimal inverter coordination in real-time is computationally and communication-wise demanding, whereas the local Volt-VAR or Watt-VAR control rules are subpar for enhanced grid services. This …
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Efficient operation of variable-pole induction machines and drives
… and operating speeds if the goal is to minimize losses or stator current. Low pole counts are more efficient than high pole counts at producing low and intermediate torque levels. By exploiting this property, experimental average power loss reduction and torque-per-ampere improvements of 1/3 and 2X …
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Achieving Efficient Control of Hydraulic Systems Using On/Off Valves
… heat. Several approaches to reducing throttling losses have been studied, such as using pumps, motors, or transformers to control individual actuators, or creating circuits with multiple pressure levels to reduce the pressure drop across individual valves. However, these approaches often suffer …