This paper presents a comparative analysis of efficient and reliable modern programming approach using quadratic programming (QP) and general algebraic modeling system (GAMS) to solve economic load dispatch (ELD) problem. The proposed methodology easily takes care of different equality and inequality constraints of the power dispatch problem to find optimal solution. To validate the effectivene...

Biofuel production has been a greatly discussed topic in Brazil. In 2004, these debates led the country to develop new policies and implement a national program for biodiesel use and production (PNPB) with the intent to foster a sustainable rural development. In this context, the present study aims to assess the impacts of the PNPB on rural development in the Brazilian Legal Amazon, in a region...

Purpose The purpose of this paper is to maximize the total demand covered by established additive manufacturing and distribution centers literal weight assigned drones. Design/methodology/approach Disaster management or humanitarian supply chains (HSCs) differ from commercial in fact that aim HSCs minimize response time a disaster as compared profit maximization goal chains. In paper, authors d...

Regenerative Fuel Cell (RFC) systems are used for the enhancement of sustainable energy aspect in conventional fuel cells. In this study, a photovoltaic-electrolyzer-fuel cell integrated cycle has been presented. The proposed system has been designed as a novel approach for alleviating the restrictions  on energy streams in the RFC systems. Modeling of the system has been performed from the mas...

This paper presents a multi-objective mathematical model which aims to optimize and harmonize supply chain reduce costs, improve quality, achieve competitive advantage position using meta-heuristic algorithms. The purpose of optimization in this field is increase quality customer satisfaction production time related prices. present research simultaneously optimized the multi-product multi-perio...

The problem of the optimal siting and sizing photovoltaic (PV) sources in grid connected distribution networks is addressed this study with a master–slave optimization approach. In master stage, discrete–continuous version Chu Beasley genetic algorithm (DCCBGA) employed, which defines locations sizes for PV sources. slave successive approximation method used to evaluate fitness function value e...

A large class of problems in engineering mechanics involves a so-called “complementarity” relationship representing the orthogonality of two sign-constrained vectors. Typical instances are plasticity laws and contact-like conditions. For state problems, the formulation leads to a mixed complementarity problem (MCP) whereas in synthesis (e.g. minimum weight design) or identification problems, a ...

This study proposes an optimized model of a micro-energy network (MEN) that includes electricity and natural gas with integrated solar, wind, energy storage systems (ESSs). The proposed is based on hubs (EHs) it aims to minimize operation costs greenhouse emissions. research motivated by the increasing use renewable energies ESSs for secure supply while reducing environment effects. A general a...

This study deals with the minimization of operational and investment cost in distribution operation power flow considering installation fixed-step capacitor banks. issue is represented by a nonlinear mixed-integer programming mathematical model which solved applying Chu Beasley genetic algorithm (CBGA). While this classical method for resolving type optimization problem, solutions found using a...

[ISSN: 2045-7057] www.ijmse.org 10  Abstract—In recent years, the problem of optimal energy management has become a global concern all across the world. In this regard, this paper investigates the optimal scheduling of energy sources in microgrids taking into consideration distributed energy sources. In the presented paper Distributed Generation (DG) includes Micro-Turbines (MTs) as well as Fu...