Redundancy optimization problem with cost constraints is a typical problem in reliability engineering. This study investigates standby redundancy optimization problem with uncertain lifetimes and uncertain costs. Three models for optimizing different performances of a standby system are formulated. In these models, maximizing the reliability measure, maximizing the system lifetime and minimizin...

in this paper, multi-microgrids (mmg) are considered as future smart distribution grids, in which small scale energy resources (sser) are main power generation units with small scales. optimal operation of microgrids in defined intervals is carried out to achieve economic conditions in distribution systems. the defined operating problem is optimized using a heuristic algorithm considering uncer...

Reliability optimization problem has a wide application in engineering area. One of the most important problems in reliability is redundancy allocation problem (RAP). In this research, we worked on a RAP with repairable components and k-out-of-n sub-systems structure. The objective function was to maximize system reliability under cost and weight constraints. The aim was determining optimal com...

This paper presents an algorithm for the microgrid planning as an alternative to the co-optimization of generation and transmission expansion planning in electric power systems. The integration of microgrids in distribution systems will offer a decentralized control of local resources for satisfying the network reliability and the power quality required by local loads. The objective in this pap...

The reliability design is related to the performance analysis of engineering systems. The reliability redundancy optimization problems involve selection of components with multiple choices and redundancy levels that produce maximum benefits, can be subject to the cost, weight, volume and reliability constraints. Classical mathematical methods fail in handling non-convexities and nonsmoothness i...

Optimization of the product portfolio has been recognized as a critical problem in industry, management, economy and so on. It aims at the selection of an optimal mix of the products to offer in the target market. As a probability function, reliability is an essential objective of the problem which linear models often fail to evaluate it. Here, we develop a multiobjective integer nonlinear cons...

Drilling cost optimization has always been an important issue in the petroleum industry. In order to save costs and create new markets for local materials, Ofo (D. micocarpum) and food gum (C. populnea) powders were evaluated in this study at high temperature as alternative to imported chemical additives in water based drilling fluid. The base mud composed of alkali beneficiated local clay, ach...

For remote places having less-strong wind, single resources based renewable energy system (RES) with battery storage can sustainably and economically generate electrical energy. There is hardly any literature on optimal sizing of such RES for very low load demand situation. The objective of this study is to techno-economically optimize the system design of a Photovoltaic (PV)-battery storage RE...