“A Smart Grid Robust Optimization Framework”

Towards a smart energy network: The roles of fuel/electrolysis cells and technological perspectives

“…By controlling and coordinating the supply and demand at different levels, the optimal operation plans can be achieved in the entire network. To handle the uncertainties and exogenous input excitation in the optimization and control of smart grid, the robust system theories can be used for efficient and costeffective controller implementations [551]. The optimization algorithms are one of the most intensely studied areas.…”

Linear Parameter Varying Modeling and Control of a Nonlinear Power Plant

“…The hydro power plant [3,7,8] includes four subsystems; a Gate governor, a Hydro turbine-Pennstock, a Generator, and a Converter-Inverter, and its mechanical power to the turbine shafts is controlled by manipulating the amount of water flow via the valve gates that is also adjusted by the speed control system.…”

“…Electrical smart or micro grids extensively utilize modern control, communication and signal processing techniques to optimize the efficiencies of its constituents [3,4], while also utilizing advanced sensing and measurement instruments to supply green and clean power to consumers [5][6][7]. Steady increase in fossil fuels and other natural resources for superior power systems further led to green technologies, i.e., power generation systems utilizing renewable energy sources such as water, photovoltaic or wind.…”

“…Steady increase in fossil fuels and other natural resources for superior power systems further led to green technologies, i.e., power generation systems utilizing renewable energy sources such as water, photovoltaic or wind. Smart grids implement the green technologies along with conventional power generation plants to produce power in a more economical and ecological manner [3,8], especially under steadily increasing power demand, increasing scarcity in fossil fuels, and broader and justifiable concerns on environmental factors. However, the optimal integration of smart grid components and green technologies has proved to be sufficiently complex to warrant advanced modeling, control and optimization algorithms for stable, economical, ecological and reliable power system performance objectives under different types of uncertainties, varying communication channel characteristics and time-varying or nonlinear power source dynamics [3][4][5][6][8][9][10][11].…”

Smart-Grid Backbone Network Real-Time Delay Reduction via Integer Programming

“…Moreover, the initial investment and maintenance costs can be minimized by focusing on feasibility of the existing commercial backbone networks. In addition to network optimality, smartgrid operations have also been optimized, including robust [26] or intelligent [27] system frameworks for smart-grid integrations, a multiobjective optimization algorithm for optimal WiMAX allocation in smart grid [28], a comprehensive control system development for information and communication technology elements as well as energy storage equipment, and a pilot implementation project, i.e., the DESI project [29], a quantum access network proposal to allow authenticated data transmissions among smart-grid components [30], an autonomous network to optimize global power distribution [31], and a fuzzy advanced quantum evolutionary method implementation on smart grid to achieve intelligent economic operations by focusing on renewable energy sources [32]. The existing smart-grid operations can also be enhanced using integer linear programming (ILP).…”