Economic operation and reliable supply-demand balance are problems of paramount importance in power grids with a massive share intermittent renewable energy sources (RESs) great interest. This paper sought an optimal coordinated generation scheduling for day-ahead system considering RESs storage units. Renewable generation, particularly, wind photovoltaic uncontrollable, whereas can be predicte...

With the advent of new types electrical systems that attach more importance to renewability energy resource, issues arising out randomness and volatility renewable such as safety, reliability, economic operation underlying power generation system, are expected be challenging. Generally speaking, company can do a reasonable dispatch each unit according weather forecast load demand information. F...

The uncertain and variable nature of renewable energy sources in modern power systems raises significant challenges in achieving the dual objective of reliable and economically efficient system operation. To address these challenges, advanced scheduling strategies have evolved during the past years, including the co-optimization of energy and reserves under deterministic or stochastic Unit Comm...

In this paper, a stochastic two-stage model is offered for optimization of the day-ahead scheduling of the microgrid. System uncertainties including dispatchable distributed generation and energy storage contingencies are considered in the stochastic model. For handling uncertainties, Monte Carlo simulation is employed for generation several scenarios and then a reduction method is used to decr...

Delays caused by uncertainty in weather forecasts can be reduced by improving traffic flow management decisions. This paper presents a methodology for traffic flow management under uncertainty in convective weather forecasts. An algorithm for assigning departure delays and reroutes to aircraft is presented. Departure delay and route assignment are executed at multiple stages, during which, upda...