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This paper presents an optimized scheduling method for Plugged-in Electric Vehicles (PEV) that are connected to a residential smart microgrid. Two modes of operation are studied: grid-tied and islanded mode. A Genetic Algorithm (GA)-based method is utilized to optimize an objective function, which includes the cost of energy production, and guarantees the best possible energy consumption profile....
This paper proposes an efficient methodology to optimally determine the best location and optimum size for Distributed Generators (DG), in a distribution network, while minimizing energy losses and improving voltage profile. The proposed methodology has been designed to consider variable demand and variable DG production scenarios, offering a set of optimum values for DG active power output and power...
This article presents the digital twin concept, which is an augmented manufacturing project created in close collaboration by SOVA Digital and the Institute of Automation, Measurement and Applied Informatics (ÚAMAI), of the Faculty of Mechanical Engineering, Slovak University of Technology in Bratislava with the support of SIEMENS. The project is a technological concept focusing on the continuous...
The flexible variable-speed control system of rod pumping well is designed to increase the oil production speed and to reduce both the rod stress and motor energy consumption by changing the motor drive speed rapidly during a stroke cycle. This paper establishes a flexible variable-speed control model as well as the optimization algorithm for rod pumping well. The optimal motor speed profile is determined...
This paper presents an approach to optimized sizing of a combined photovoltaic and storage system in order to reduce fluctuations in local supply network and increase the hosting capacity of the distribution network, on the example of remote rural area. All the computations were based on real production and consumption data acquired over long period of time in two different test installations, located...
The consumption of electric energy for general supply of a country is increasing over the years. In Brazil, energy demand grows, on average, 5% per year and the power source is predominantly hydroelectric. Many of the power plants installed in Brazil do not operate efficiently, from the water consumption point of view. The normal mode of operation (NMO) equally divides power demand between existing...
A problem of optimal capacity planning of the process production lines (foundry for example) in accordance with a given output plan is considered as a discrete location problem on a network. The problem takes into account the terms of output plan completion for each kind of product and constraints of distribution uniformity of the total daily volume of production. For solving the problem, we use the...
In this paper a novel planning system for coils route optimisation among different processing steps of a generic steelmaking plant will be presented. This new approach, in addition to production times and costs, considers also customers' quality requirements. The system is based on Multi-Objective Optimisation and, in particular, it can exploit different paradigms of Multi-Objective Evolutionary Algorithms...
This paper presents an energy management system (EMS) of a smart grid. The EMS consists of some input modules such as load forecasting, generation forecasting, and market information which give necessary data to optimization module. The aim of this article is improving the optimization module and modeling the effect of demand side management on optimal energy management system. The proposed EMS minimizes...
2D glass cutting is an important problem for glass manufacturers. The objective of 2D glass cutting is to minimize the amount of waste when cutting a whole glass sheet into several pieces according to given cutting orders. In this paper, three different algorithms applied for the solution of 2D glass cutting problem. The performances of solutions are compared. The genetic algorithm with initial population...
Both Genetic Algorithm (GA) and Linear Programming (LP) are effective optimization algorithms. LP is very efficient for optimizing linear problems. GA can attain very good solutions for integer non-linear problems, but it takes more time. To solve the very complex nested optimization problems, we propose a hybrid algorithm to combine the merits from both LP and GA algorithms in this paper. We use...
In this paper, an inexact approach is proposed for the fuzzy nonlinear programming problems. Instead of finding an exact optimal solution, we use a Genetic Algorithm (GA) with mutation along the weighted total forces direction to find a family of solutions with acceptable membership degree under different criteria preferred by the decision maker (DM). The total forces are given based on the idea that...
Electricity market players operating in a liberalized environment requires access to an adequate decision support tool, allowing them to consider all the business opportunities and take strategic decisions. Ancillary services represent a good negotiation opportunity that must be considered by market players. For this, decision support tools must include ancillary market simulation. This paper proposes...
Electricity market players operating in a liberalized environment requires access to an adequate decision support tool, allowing them to consider all the business opportunities and take strategic decisions. Ancillary services represent a good negotiation opportunity that must be considered by market players. For this, decision support tools must include ancillary market simulation. This paper proposes...
Power systems operation in a liberalized environment requires that market players have access to adequate decision support tool, allowing them to consider all the business opportunities and take strategic decisions. Ancillary services represent a good negotiation opportunity that must be considered by market players. For this, decision support tools must include ancillary market simulation. This paper...
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