Nonlinear Optimal Control for Six-Phase Induction Generator-Based Renewable Energy Systems
Abstract
Volume 5,Issue 2
Nonlinear Optimal Control for Six-Phase Induction Generator-Based Renewable Energy SystemsAbstract The article aims at optimizing six-phase induction generator-based renewable energy systems (6-phase IGs or dual star induction generators) through a novel nonlinear optimal control method. Six-phase induction generators appear to be advantageous compared to three-phase synchronous or asynchronous power generators, in terms of fault tolerance and improved power generation rates. The dynamic model of the six-phase induction generator is first written in a nonlinear and multivariable state-space f [...] |
Fixed-Switching Frequency Finite-State Model Predictive Thrust and Primary Flux Linkage Control for LIMAbstract The special design of linear induction machines (LIMs) leads to adverse effects caused by the longitudinal and end effects. These effects make the thrust control of the LIMs most attractive because its value decreases sharply with the speed increase. Thus, finite-state model predictive control (FS-MPC) is developed to increase the performance of the LIMs. However, the variable switching frequency is the main drawback of this control. Consequently, the main objectives of this paper are to propose [...] |
Non-Isothermal Compressible Flow Model for Analyzing the Effect of High CO2 Inlet Flow Rate on Particle Size in a Supercritical Antisolvent Processby
![]() ![]() ![]() ![]() Abstract In this work with CFD simulations, the evaluation of the supercritical anti-solvent (SAS) process for producing nanoparticles from an expanded solution of ethanol/solute in carbon dioxide is reported. The influence of the solution and antisolvent flow rates on mean particle size, the flow dynamic, and the supercritical mixture's jet velocity must be well established in the literature and analyzed. The high flow rate of the anti-solvent resulted in increased mean particle sizes for all studied ca [...] |
Thermodynamic and Structural Optimization of Organic Rankine Cycle Plant for Clean Energy Access Using Artificial Bee Colony and Multi-Criteria Decision-Making AlgorithmsAbstract The quest to decarbonize the energy space to avert the negative climate change consequences calls for using low/zero-carbon energy conversion technologies in the energy generation space. The Organic Rankine Cycle is a low/zero-carbon energy conversion technology for recovering waste heat from low to medium-temperature heat sources and for biomass conversion. Therefore, this paper presents the thermodynamic optimization, with an artificial bee colony algorithm, of different ORC configurations, in [...] |
The Eastern Australian Floods of February 2022 and Its Relationship with Climate ChangeAbstract During February 2022 major riverine flooding occurred in an area which has the fastest population growth in Australia. This extended from the Mary River in Southeast Queensland (SEQ) to the Clarence River in Northeast NSW (NENSW). Two centres within this area were devastated by floods unprecedented in living memory. One was the Brisbane Metropolitan area where all-time record daily rainfall in the suburbs flooded creeks. This creek flooding was much worse than that caused by the Brisbane River i [...] |
Techno-Economic Analysis of Waste-to-Suburban Cooking Energy Critical Infrastructure Development in Southwestern NigeriaAbstract This study examined the techno-economic specifications for a Waste-to-Suburban Cooking Energy critical infrastructure project in Southwestern Nigeria. Technological and project economic data for the W2E project were obtained from strategic sources and energy project foresight/analysis framework used. The results showed residential upgraded biogas-for-cooking demand of approximately 10,243 m3/month, and municipal solid waste (MSW) input of appro [...] |
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