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...

Composite RCS building frames integrate reinforced concrete columns with structural steel beams to provide an efficient solution for the design and construction of earthquake-resisting structures. In this paper, an optimization framework is developed for performance-based seismic design of planar RCS moment resisting frames. The objective functions are defined as minimizing the construction cos...

Effective utility system management is fundamental and critical for ensuring the normal activities, operations, services in cities urban areas. In that regard, advanced information communication technologies underpinning smart enable close linkages coordination of different subutility systems, which now attracting research attention. To increase operational efficiency, we propose a two-stage op...

Abstract In this paper, we study the packing optimization problem of square plates under conditions that cutting mode is guillotine cut, number stages cannot exceed 3, and order sequence not considered. Because it difficult to determine constraint in process stacking items into stacks, divide nonlinear integer programming model two establish: one stage stacks followed by splicing them stripes, ...

We present a constraint-and-column generation algorithm to solve two-stage robust optimization problems. Compared with existing Benders style cutting plane methods, it is a general procedure with a unified approach to deal with optimality and feasibility. A computational study on a two-stage robust location-transportation problem shows that it performs an order of magnitude faster. Also, it rev...