Papers by Keyword: Optimization Model

Abstract: With avalanche of smart technological development on the horizon, one is of the view that the availability of smart technologies increases the demand for reliable, cost-effective and environmentally sustainable energy supplier system in place. To have such system in place, this study recognizes the need that necessitates a multi-disciplinary approach for the design and optimization of modern power grids. Thus, this study derives, an integrated mathematical optimization model for the development of a sustainable smart grid system that engages the interests of electrical, mechanical, metallurgical, civil, and control engineering disciplines. The engagement of such engineers has the potential to minimizes the total cost of energy generation, distribution, and infrastructure; while sustaining the environmental and maximizing energy eficiency, reliability. Therefore, to achieve our main objectives, an integrated mathematical optimization model incorporating power generation, energy demand, reliability, eficiency, maintenance costs, material lifespan, and emissions, subject to a set of constraints that ensure system balance, capacity limits, minimum reliability, eficiency, and compliance with environmental regulations. It is our strong hope that by optimizing these variables, the integrated mathematical optimization model addresses the critical challenges faced by various engineering fields. Since, electrical engineering focuses on the eficient distribution and reliability of energy; mechanical engineering on the performance and longevity of turbines and power systems; metallurgical engineering on material durability and eficiency; and civil engineering on the infrastructure required to support the grid; and furthermore, control engineering contributes automated solutions for load balancing and the integration of renewable energy sources. Thus, optimization model becomes a multi-objective optimization framework that provides a comprehensive solution.

Abstract: The influence of various design and technological parameters of the process of plasma deposition of coatings on their quality is considered. In the process of research, regularities were revealed and relationships were established between the factors and criteria of technological processes, which make it possible to solve optimization problems when developing technological recommendations and improving the methods of applying plasma coatings. The results of the research are the obtained mathematical models that can be applied to analyze the influence of individual factors, as well as their combination on the quality indicators of the process of forming coatings with given physical and mechanical properties.

Abstract: Over the last few decades, the range of engineering materials encountered in machine shops has increased greatly, as has the variety of cutting tools that are capable of machining these materials. The tasks of tool selection and cutting parameter recommendation for performing the operations are complex and require development of intelligent system. A cutting tool database system model is proposed in this paper. And base on the model, this paper presents a cutting tool database system for selection of cutting tools and conditions of turning operations. The model incorporates intelligent tool selection technology, optimization methods of tool selection and cutting parameter. An application example of the system was performed to demonstrate the practicability and validity of the prototype system.

Abstract: Stock investment is risky and beyond fixed rules to forecast precisely. In order to realize proper stocks selection from specified mathematical function model, principal component factor analysis is proposed to rebuild various stocks via its contribution rates so as to extract the principal component factors from the elimination of weak ones. According to the synthesis scoring and ranking, optimized stocks has been selected as valuable targets. Test from Genetic Algorithm to the ranking aforementioned indicates that the rationality and validity of the results.

Abstract: In order to solve signal timing optimization problem of the cross intersection with irregular four phases, this paper presents a new method based on the calculation of lane design capacity. There are five steps of the application in this paper: the collection and simple statistics of basic data; the analysis of present situation; the formulation and solution of signal timing optimization model; the evaluation of optimization results which are based on simulation software VISSIM; an actual example was tested to verify the feasibility of the optimization model.

Abstract: Concrete mixing station location occupies a very important position in the supply chain of the commercial concrete, location not only affects the cost, but the level of quality of concrete delivery service. In view of the traditonal location model only pursuing the cost minimization and neglecting serive level, the reliability is introduced into location model as a standard of concrete delivery service, to establish a multi-objective model which uses the cost minimization and reliability maximization as the objective function. Finally, the effectiveness of the model was confirmed by a numerical example.

Abstract: A new method for identification of motor equivalent circuit parameters is proposed based on motor nameplate and particle swarm optimization (PSO). That is effective solution to the present problems of motor equivalent circuit parameters identification method. An accurate motor equivalent circuit is built by introducing an equivalent stray-loss resistance, mechanical loss, and slip loss of ring brushes contact for wound motor. The identification accuracy of motor equivalent circuit parameters is improved. An identification optimization model of equivalent circuit is established based on motor nameplate parameters and motor equivalent circuit’s calculating parameters. With PSO for solving optimization model is achieved a higher probability optimization goals. Finally, a group of equivalent circuit parameters to achieve the objective function value is randomly selected. The motor electrical parameters is calculated at different speeds with the equivalent circuit identified parameters and compared with the measured values. Experimental results demonstrate the proposed parameter identification method based on motor nameplate parameters and combining PSO optimization method is effective.

Abstract: To solve the synchronization problem of collaborative manufacturing the uncertain factors of collaborative manufacturing progress are analyzed and fuzzy mathematic descriptions are defined. Considering deviation degree between the dynamic scheduling and the original scheduling, a multi-objective optimization model was developed. With the current production state as initial state, according to the new manufacturing constraints of collaborative production chain, a feasible solution is found to satisfy the constraint conditions. A simulation experiment is carried out and obtained an optimal scheduling scheme.

Abstract: The unit cell models of PI/SiO₂ nanocomposite was built by Materials Studio. The stiffness matrix and mechanical properties parameters such as Young modulus, shear modulus, bulk modulus and Poisson ratio of the unit cells were achieved after molecular dynamic (MD) optimizations and calculations. The influence factors on the mechanical properties of nanocomposite were analyzed. Finally, the optimization model was achieved.

Abstract: In this paper, the Shitoukoumen reservoir of Yinma River basin has carried on the detailed investigation, use the over flow curve section of upstream and downstream the Shitoukoumen reservoir ecological base flow calculation, and sensitive water demand calculation. Considering the reservoir scheduling of economic benefits, ecological benefits and social benefits, and construct a complete set of reservoir scheduling optimization model, provides a theoretical basis for Shitoukoumen reservoir water dispatching