Control, Optimization and Intelligent Computing in Energy

Dear Colleagues,

This Special Issue titled “Control, Optimization and Intelligent Computing in Energy” will address topics including mathematical formulation of the linear and nonlinear systems in both the time and frequency domain; discrete time systems; stability analysis of dynamic systems; design and implementation of controllers to analyze the stabilization and linearization of plants with/without feedback control; industrial automation and instrumentation required to process various control operations in industries; the establishment of an in-depth theoretical and practical understanding of power electronics control and technologies; investigation of mathematical modeling and innovative control approaches for providing clean green energy supplies with PV, wind, battery, and fuel cell technologies; and analysis of legacy communication protocols and standards for distributed energy systems. The Special Issue covers the smart grid system, which utilizes digital information and controls technology to improve reliability, security, and efficiency of the electric grid. It also covers the optimization methods that play a vital role in determining the controller’s optimal set points using both classical and heuristics-based optimization methods, as well as the use of optimization methods to solve power and control system problems using classical optimization methods, such as linear and non-linear programming, quadratic programming, interior point programming, Lagrange's method, and heuristic methods such as particle swarm optimization, evolutionary algorithms, neural network applications, and fuzzy logic systems. Finally, the design and implementation of novel methods will be evaluated using both sequential and parallel computing application methods, real-time simulations, and analyses using advanced industrial-grade hardware and software tools, such as PLCs from various vendors.

• Examine the Behavior of Closed Loop Systems by Building Models in a MATLAB/Simulink Environment and Simulations

Prof. Senthil Krishnamurthy
Guest Editor

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